R Under development (unstable) (2020-08-20 r79057) -- "Unsuffered Consequences"
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> ### Regression tests for the distribution functions
>
> suppressWarnings(RNGversion("3.5.2"))
> set.seed(290875)
> library("coin")
Loading required package: survival
> isequal <- coin:::isequal
> options(useFancyQuotes = FALSE)
>
>
> ### generate independent two-sample data
> dta <- data.frame(y = rnorm(20), x = gl(2, 10), b = factor(rep(1:4, 5)),
+ w = rep(1:3, length = 20))
> dta$y5 <- round(dta$y, 5)
> dta$y3 <- round(dta$y, 3)
>
> ### generate paired two-sample data
> dta2 <- data.frame(y = as.vector(rbind(abs(dta$y) * (dta$y >= 0),
+ abs(dta$y) * (dta$y < 0))),
+ x = factor(rep(0:1, length(dta$y)),
+ labels = c("pos", "neg")),
+ b = gl(length(dta$y), 2))
> dta2$y5 <- round(dta2$y, 5)
> dta2$y3 <- round(dta2$y, 3)
>
>
> ### check 'algorithm = "auto"'
>
> ### scores that can't be mapped into integers
>
> ### two-sample with block
> try(independence_test(y ~ x | b, data = dta,
+ distribution = exact(algo = "auto")))
Error in vdW_split_up_2sample(object) :
cannot compute exact p-values with blocks
>
> try(independence_test(y ~ x | b, data = dta,
+ distribution = exact(algo = "shift")))
Error in .local(object, ...) :
cannot compute exact distribution with real-valued scores
>
> try(independence_test(y ~ x | b, data = dta,
+ distribution = exact(algo = "split-up")))
Error in vdW_split_up_2sample(object) :
cannot compute exact p-values with blocks
>
> ### two-sample without block
> it <- independence_test(y ~ x, data = dta,
+ distribution = exact(algo = "auto"))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (van de Wiel Split-Up Algorithm)"
>
> try(independence_test(y ~ x, data = dta,
+ distribution = exact(algo = "shift")))
Error in .local(object, ...) :
cannot compute exact distribution with real-valued scores
>
> it <- independence_test(y ~ x, data = dta,
+ distribution = exact(algo = "split-up"))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (van de Wiel Split-Up Algorithm)"
> pvalue(it)
[1] 0.9417069
> midpvalue(it)
[1] NA
> pvalue_interval(it)
[1] NA
>
> ### paired two-sample
> try(symmetry_test(y ~ x | b, data = dta2, paired = TRUE,
+ distribution = exact(algo = "auto")))
Error in .local(object, ...) :
cannot compute exact distribution with real-valued scores
>
> try(symmetry_test(y ~ x | b, data = dta2, paired = TRUE,
+ distribution = exact(algo = "shift")))
Error in .local(object, ...) :
cannot compute exact distribution with real-valued scores
>
> try(symmetry_test(y ~ x | b, data = dta2, paired = TRUE,
+ distribution = exact(algo = "split-up")))
Error in .local(object, ...) :
split-up algorithm not implemented for paired samples
>
> ### mapped into integers using 'fact'
>
> ### two-sample with block
> it <- independence_test(y5 ~ x | b, data = dta,
+ distribution = exact(algo = "auto", fact = 1e5))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
>
> it <- independence_test(y5 ~ x | b, data = dta,
+ distribution = exact(algo = "shift", fact = 1e5))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
> pvalue(it)
[1] 0.9247
> midpvalue(it)
[1] 0.92465
> pvalue_interval(it)
p_0 p_1
0.9246 0.9247
> s <- sample(support(it), 5)
> pvalue(it@distribution, s)
[1] 0.9608 0.1270 0.0178 0.3248 0.4035
> midpvalue(it@distribution, s)
[1] 0.96075 0.12695 0.01775 0.32475 0.40345
> pvalue_interval(it@distribution, s)
[,1] [,2] [,3] [,4] [,5]
p_0 0.9607 0.1269 0.0177 0.3247 0.4034
p_1 0.9608 0.1270 0.0178 0.3248 0.4035
>
> try(independence_test(y5 ~ x | b, data = dta,
+ distribution = exact(algo = "split-up")))
Error in vdW_split_up_2sample(object) :
cannot compute exact p-values with blocks
>
> ### two-sample without block
> it <- independence_test(y5 ~ x, data = dta,
+ distribution = exact(algo = "auto", fact = 1e5))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
>
> it <- independence_test(y5 ~ x, data = dta,
+ distribution = exact(algo = "shift", fact = 1e5))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
> pvalue(it)
[1] 0.9417177
> midpvalue(it)
[1] 0.9417069
> pvalue_interval(it)
p_0 p_1
0.9416961 0.9417177
> s <- sample(support(it), 5)
> pvalue(it@distribution, s)
[1] 0.29646669 0.07164043 0.29003659 0.11804759 0.92572907
> midpvalue(it@distribution, s)
[1] 0.29646128 0.07163502 0.29003118 0.11804217 0.92572366
> pvalue_interval(it@distribution, s)
[,1] [,2] [,3] [,4] [,5]
p_0 0.2964559 0.07162961 0.2900258 0.1180368 0.9257182
p_1 0.2964667 0.07164043 0.2900366 0.1180476 0.9257291
>
> it <- independence_test(y5 ~ x, data = dta,
+ distribution = exact(algo = "split-up"))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (van de Wiel Split-Up Algorithm)"
> pvalue(it)
[1] 0.9417177
> midpvalue(it)
[1] NA
> pvalue_interval(it)
[1] NA
> pvalue(it@distribution, s)
[1] 0.29646669 0.07164043 0.29003659 0.11804759 0.92572907
> midpvalue(it@distribution, s)
[1] NA
> pvalue_interval(it@distribution, s)
[1] NA
>
> ### paired two-sample
> st <- symmetry_test(y5 ~ x | b, data = dta2, paired = TRUE,
+ distribution = exact(algo = "auto", fact = 1e5))
> st@distribution@name
[1] "Exact Distribution for Dependent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
>
> st <- symmetry_test(y5 ~ x | b, data = dta2, paired = TRUE,
+ distribution = exact(algo = "shift", fact = 1e5))
> st@distribution@name
[1] "Exact Distribution for Dependent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
> pvalue(st)
[1] 0.8828659
> midpvalue(st)
[1] 0.882863
> pvalue_interval(st)
p_0 p_1
0.8828602 0.8828659
> s <- sample(support(st), 5)
> pvalue(st@distribution, s)
[1] 0.1002541 0.9401989 0.6883831 0.9741554 0.7955475
> midpvalue(st@distribution, s)
[1] 0.1002531 0.9401960 0.6883802 0.9741545 0.7955465
> pvalue_interval(st@distribution, s)
[,1] [,2] [,3] [,4] [,5]
p_0 0.1002522 0.9401932 0.6883774 0.9741535 0.7955456
p_1 0.1002541 0.9401989 0.6883831 0.9741554 0.7955475
>
> try(symmetry_test(y5 ~ x | b, data = dta2, paired = TRUE,
+ distribution = exact(algo = "split-up")))
Error in .local(object, ...) :
split-up algorithm not implemented for paired samples
>
> ### automatically mapped into integers
>
> ### two-sample with block
> it <- independence_test(y3 ~ x | b, data = dta,
+ distribution = exact(algo = "auto"))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
>
> it <- independence_test(y3 ~ x | b, data = dta,
+ distribution = exact(algo = "shift"))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
> pvalue(it)
[1] 0.9249
> midpvalue(it)
[1] 0.92475
> pvalue_interval(it)
p_0 p_1
0.9246 0.9249
> s <- sample(support(it), 5)
> pvalue(it@distribution, s)
[1] 0.9362 0.2810 0.3439 0.1093 0.6951
> midpvalue(it@distribution, s)
[1] 0.93605 0.28095 0.34385 0.10925 0.69500
> pvalue_interval(it@distribution, s)
[,1] [,2] [,3] [,4] [,5]
p_0 0.9359 0.2809 0.3438 0.1092 0.6949
p_1 0.9362 0.2810 0.3439 0.1093 0.6951
>
> try(independence_test(y3 ~ x | b, data = dta,
+ distribution = exact(algo = "split-up")))
Error in vdW_split_up_2sample(object) :
cannot compute exact p-values with blocks
>
> ### two-sample without block
> it <- independence_test(y3 ~ x, data = dta,
+ distribution = exact(algo = "auto"))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
>
> it <- independence_test(y3 ~ x, data = dta,
+ distribution = exact(algo = "shift"))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
> pvalue(it)
[1] 0.9419451
> midpvalue(it)
[1] 0.941826
> pvalue_interval(it)
p_0 p_1
0.9417069 0.9419451
> s <- sample(support(it), 5)
> pvalue(it@distribution, s)
[1] 0.95437225 0.02408582 0.32436294 0.03146853 0.01959341
> midpvalue(it@distribution, s)
[1] 0.95420988 0.02407500 0.32426011 0.03144688 0.01957176
> pvalue_interval(it@distribution, s)
[,1] [,2] [,3] [,4] [,5]
p_0 0.9540475 0.02406417 0.3241573 0.03142523 0.01955011
p_1 0.9543723 0.02408582 0.3243629 0.03146853 0.01959341
>
> it <- independence_test(y3 ~ x, data = dta,
+ distribution = exact(algo = "split-up"))
> it@distribution@name
[1] "Exact Distribution for Independent Two-Sample Tests (van de Wiel Split-Up Algorithm)"
> pvalue(it)
[1] 0.9419451
> midpvalue(it)
[1] NA
> pvalue_interval(it)
[1] NA
> pvalue(it@distribution, s)
[1] 0.95437225 0.02408582 0.32436294 0.03146853 0.01959341
> midpvalue(it@distribution, s)
[1] NA
> pvalue_interval(it@distribution, s)
[1] NA
>
> ### paired two-sample
> st <- symmetry_test(y3 ~ x | b, data = dta2, paired = TRUE,
+ distribution = exact(algo = "auto"))
> st@distribution@name
[1] "Exact Distribution for Dependent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
>
> st <- symmetry_test(y3 ~ x | b, data = dta2, paired = TRUE,
+ distribution = exact(algo = "shift"))
> st@distribution@name
[1] "Exact Distribution for Dependent Two-Sample Tests (Streitberg-Roehmel Shift Algorithm)"
> pvalue(st)
[1] 0.8830051
> midpvalue(st)
[1] 0.8828602
> pvalue_interval(st)
p_0 p_1
0.8827152 0.8830051
> s <- sample(support(st), 5)
> pvalue(st@distribution, s)
[1] 3.814697e-06 9.809170e-01 4.500065e-01 8.348274e-02 4.754562e-01
> midpvalue(st@distribution, s)
[1] 2.861023e-06 9.807472e-01 4.498701e-01 8.344555e-02 4.753208e-01
> pvalue_interval(st@distribution, s)
[,1] [,2] [,3] [,4] [,5]
p_0 1.907349e-06 0.9805775 0.4497337 0.08340836 0.4751854
p_1 3.814697e-06 0.9809170 0.4500065 0.08348274 0.4754562
>
> try(symmetry_test(y3 ~ x | b, data = dta2, paired = TRUE,
+ distribution = exact(algo = "split-up")))
Error in .local(object, ...) :
split-up algorithm not implemented for paired samples
>
>
> ### check exact tests with weights
> itw1 <- independence_test(y3 ~ x, data = dta, weights = ~ w,
+ distribution = exact(algorithm = "shift"))
> itw2 <- independence_test(y3 ~ x, data = dta, weights = ~ w,
+ distribution = exact(algorithm = "split-up"))
> y3w <- with(dta, rep(y3, w))
> xw <- with(dta, rep(x, w))
> it1 <- independence_test(y3w ~ xw, distribution = exact(algorithm = "shift"))
> it2 <- independence_test(y3w ~ xw, distribution = exact(algorithm = "split-up"))
> stopifnot(isequal(pvalue(itw1), pvalue(it1)))
> stopifnot(isequal(pvalue(itw1), pvalue(it2)))
> stopifnot(isequal(pvalue(itw2), pvalue(it1)))
> stopifnot(isequal(pvalue(itw2), pvalue(it2)))
> stopifnot(isequal(midpvalue(itw1), midpvalue(it1)))
> stopifnot(isequal(midpvalue(itw2), midpvalue(it2)))
> stopifnot(isequal(pvalue_interval(itw1), pvalue_interval(it1)))
> stopifnot(isequal(pvalue_interval(itw2), pvalue_interval(it2)))
>
> Convictions <-
+ matrix(c(2, 10, 15, 3), nrow = 2,
+ dimnames = list(c("Dizygotic", "Monozygotic"),
+ c("Convicted", "Not convicted")))
> itw1 <- independence_test(as.table(Convictions), alternative = "less",
+ distribution = exact(algorithm = "shift"))
> itw2 <- independence_test(as.table(Convictions), alternative = "less",
+ distribution = exact(algorithm = "split-up"))
> it1 <- independence_test(Var2 ~ Var1, alternative = "less",
+ data = coin:::table2df(as.table(Convictions)),
+ distribution = exact(algorithm = "shift"))
> it2 <- independence_test(Var2 ~ Var1, alternative = "less",
+ data = coin:::table2df(as.table(Convictions)),
+ distribution = exact(algorithm = "split-up"))
> stopifnot(isequal(pvalue(itw1), pvalue(it1)))
> stopifnot(isequal(pvalue(itw1), pvalue(it2)))
> stopifnot(isequal(pvalue(itw2), pvalue(it1)))
> stopifnot(isequal(pvalue(itw2), pvalue(it2)))
> stopifnot(isequal(midpvalue(itw1), midpvalue(it1)))
> stopifnot(isequal(midpvalue(itw2), midpvalue(it2)))
> stopifnot(isequal(pvalue_interval(itw1), pvalue_interval(it1)))
> stopifnot(isequal(pvalue_interval(itw2), pvalue_interval(it2)))
>
>
> ### check support, pperm, dperm, qperm, rperm
> y1 <- c(1.83, 0.50, 1.62, 2.48, 1.68, 1.88, 1.55, 3.06, 1.30)
> y2 <- c(0.878, 0.647, 0.598, 2.05, 1.06, 1.29, 1.06, 3.14, 1.29)
> dta1 <- data.frame(
+ y = c(y1, y2),
+ x = gl(2, length(y1)),
+ b = factor(rep(seq_along(y1), 2)))
>
> diff <- y1 - y2
> dta2 <- data.frame(
+ y = as.vector(rbind(abs(diff) * (diff >= 0), abs(diff) * (diff < 0))),
+ x = factor(rep(0:1, length(diff)), labels = c("pos", "neg")),
+ b <- gl(length(diff), 2))
>
> ### shift without block
> it1_SR <- independence_test(y ~ x, data = dta1,
+ distribution = exact(algorithm = "shift"))
> supp_it1_SR <- support(it1_SR)
> stopifnot(!is.unsorted(supp_it1_SR))
> stopifnot(all(supp_it1_SR == unique(supp_it1_SR)))
> round(pp_it1_SR <- pperm(it1_SR, supp_it1_SR), 7)
[1] 0.0000206 0.0000411 0.0000823 0.0001028 0.0001440 0.0001645 0.0002057
[8] 0.0002468 0.0002674 0.0003085 0.0003497 0.0004114 0.0004731 0.0005142
[15] 0.0005553 0.0005759 0.0005965 0.0006376 0.0006582 0.0006787 0.0006993
[22] 0.0007404 0.0007816 0.0008227 0.0008433 0.0008638 0.0009050 0.0010284
[29] 0.0010695 0.0010901 0.0011312 0.0011929 0.0012752 0.0012958 0.0013369
[36] 0.0013986 0.0014192 0.0014603 0.0015426 0.0015837 0.0016454 0.0016660
[43] 0.0016865 0.0017277 0.0017483 0.0018100 0.0018511 0.0019128 0.0019334
[50] 0.0020156 0.0020362 0.0020773 0.0020979 0.0021390 0.0021802 0.0023036
[57] 0.0023241 0.0023858 0.0024681 0.0024887 0.0025710 0.0025915 0.0026121
[64] 0.0026532 0.0027355 0.0028795 0.0029617 0.0029823 0.0030029 0.0030852
[71] 0.0031057 0.0031469 0.0032703 0.0032908 0.0034142 0.0034554 0.0034759
[78] 0.0034965 0.0035582 0.0036199 0.0036610 0.0037639 0.0037845 0.0038050
[85] 0.0038462 0.0038873 0.0039901 0.0040107 0.0040518 0.0040930 0.0041341
[92] 0.0041752 0.0042369 0.0043192 0.0043398 0.0043809 0.0044632 0.0045249
[99] 0.0046072 0.0047511 0.0047717 0.0048951 0.0049362 0.0049774 0.0050391
[106] 0.0052242 0.0052859 0.0053065 0.0053682 0.0054710 0.0054916 0.0055121
[113] 0.0056355 0.0056767 0.0057589 0.0057795 0.0058206 0.0058618 0.0058824
[120] 0.0060263 0.0060675 0.0061086 0.0061497 0.0061703 0.0062526 0.0062937
[127] 0.0063554 0.0064582 0.0064788 0.0064994 0.0065405 0.0066434 0.0066845
[134] 0.0067051 0.0067462 0.0067668 0.0068696 0.0069519 0.0069930 0.0070547
[141] 0.0070958 0.0072604 0.0073427 0.0073838 0.0074866 0.0075483 0.0075895
[148] 0.0076100 0.0077334 0.0077951 0.0079597 0.0080420 0.0080831 0.0082682
[155] 0.0083093 0.0084122 0.0084739 0.0085150 0.0085356 0.0085973 0.0087413
[162] 0.0088441 0.0089058 0.0089675 0.0091320 0.0091937 0.0093172 0.0094611
[169] 0.0095434 0.0095640 0.0096257 0.0096462 0.0096668 0.0097079 0.0098519
[176] 0.0098930 0.0099959 0.0100782 0.0101193 0.0103044 0.0103661 0.0103867
[183] 0.0105306 0.0105718 0.0105923 0.0107158 0.0108392 0.0109626 0.0110243
[190] 0.0110860 0.0111271 0.0111682 0.0112094 0.0114151 0.0114562 0.0115796
[197] 0.0116413 0.0116619 0.0117853 0.0118881 0.0119498 0.0121555 0.0123406
[204] 0.0124023 0.0124229 0.0125257 0.0125668 0.0125874 0.0126697 0.0128137
[211] 0.0128959 0.0129782 0.0129988 0.0130399 0.0132250 0.0133690 0.0134101
[218] 0.0134513 0.0136569 0.0137186 0.0137392 0.0138420 0.0139449 0.0139860
[225] 0.0140683 0.0141506 0.0141917 0.0143562 0.0144591 0.0145825 0.0146030
[232] 0.0146647 0.0147882 0.0148910 0.0150144 0.0150555 0.0151172 0.0152818
[239] 0.0153023 0.0153435 0.0154463 0.0155286 0.0156314 0.0158371 0.0158577
[246] 0.0158782 0.0158988 0.0161251 0.0162690 0.0164130 0.0164541 0.0164953
[253] 0.0165775 0.0165981 0.0168038 0.0169683 0.0170506 0.0171534 0.0172563
[260] 0.0172768 0.0172974 0.0175442 0.0175854 0.0176265 0.0177910 0.0178322
[267] 0.0178527 0.0178733 0.0180173 0.0180995 0.0181613 0.0182024 0.0182435
[274] 0.0184903 0.0185932 0.0189223 0.0189840 0.0191074 0.0192513 0.0193336
[281] 0.0194981 0.0195599 0.0196627 0.0196833 0.0197038 0.0197861 0.0199712
[288] 0.0199918 0.0200123 0.0200740 0.0201769 0.0203414 0.0204237 0.0204648
[295] 0.0207116 0.0208556 0.0208762 0.0209790 0.0209996 0.0210819 0.0212053
[302] 0.0213287 0.0213492 0.0213698 0.0214521 0.0215138 0.0215755 0.0216372
[309] 0.0218017 0.0220280 0.0221102 0.0222131 0.0224599 0.0225216 0.0227273
[316] 0.0228712 0.0229947 0.0230358 0.0231592 0.0232209 0.0232415 0.0234060
[323] 0.0235294 0.0236117 0.0236323 0.0238379 0.0240230 0.0240436 0.0242493
[330] 0.0244550 0.0245578 0.0246401 0.0249280 0.0249897 0.0252365 0.0253188
[337] 0.0254011 0.0254216 0.0255656 0.0258330 0.0259153 0.0259975 0.0261621
[344] 0.0262649 0.0263060 0.0263266 0.0265529 0.0268202 0.0268614 0.0269025
[351] 0.0270671 0.0271699 0.0272316 0.0273139 0.0274784 0.0276429 0.0276635
[358] 0.0276841 0.0278281 0.0279103 0.0279515 0.0280132 0.0280749 0.0283011
[365] 0.0284245 0.0284657 0.0285068 0.0286096 0.0287742 0.0288359 0.0288564
[372] 0.0288770 0.0291650 0.0293089 0.0294323 0.0294940 0.0296174 0.0298643
[379] 0.0299260 0.0299465 0.0301111 0.0301728 0.0302962 0.0303579 0.0303784
[386] 0.0304813 0.0306047 0.0306253 0.0306664 0.0307075 0.0309132 0.0309955
[393] 0.0310160 0.0310572 0.0311806 0.0313863 0.0314274 0.0314685 0.0315714
[400] 0.0316948 0.0319210 0.0320650 0.0323735 0.0326615 0.0327643 0.0327849
[407] 0.0330934 0.0331345 0.0331962 0.0332374 0.0334430 0.0336281 0.0337515
[414] 0.0337721 0.0338338 0.0339367 0.0340601 0.0341218 0.0341629 0.0342040
[421] 0.0344508 0.0347799 0.0348828 0.0349856 0.0352941 0.0354381 0.0357466
[428] 0.0359523 0.0361168 0.0361374 0.0363431 0.0365076 0.0365282 0.0365693
[435] 0.0366310 0.0368984 0.0371246 0.0373097 0.0373509 0.0373920 0.0374537
[442] 0.0377417 0.0378445 0.0378651 0.0381119 0.0383381 0.0385027 0.0385232
[449] 0.0386672 0.0389963 0.0390374 0.0390580 0.0390991 0.0391814 0.0392431
[456] 0.0393254 0.0393871 0.0394282 0.0395311 0.0397984 0.0398396 0.0399835
[463] 0.0402509 0.0404360 0.0405183 0.0405594 0.0407240 0.0410736 0.0411970
[470] 0.0412176 0.0412382 0.0413616 0.0414439 0.0415261 0.0415673 0.0418346
[477] 0.0419992 0.0420814 0.0421020 0.0421637 0.0422666 0.0424105 0.0424311
[484] 0.0425134 0.0426162 0.0428425 0.0431510 0.0432332 0.0432744 0.0433772
[491] 0.0436240 0.0438914 0.0439120 0.0439531 0.0443233 0.0444673 0.0445496
[498] 0.0446318 0.0446730 0.0449404 0.0451049 0.0451460 0.0454545 0.0455574
[505] 0.0457219 0.0457631 0.0458453 0.0460716 0.0463390 0.0463595 0.0464212
[512] 0.0465446 0.0468737 0.0471000 0.0472645 0.0473056 0.0473262 0.0475319
[519] 0.0478198 0.0479021 0.0479432 0.0480255 0.0482106 0.0484163 0.0486014
[526] 0.0486220 0.0487248 0.0490745 0.0492801 0.0493418 0.0494241 0.0496709
[533] 0.0498149 0.0499589 0.0500411 0.0500617 0.0502674 0.0505965 0.0506376
[540] 0.0507404 0.0509461 0.0511107 0.0512752 0.0513163 0.0513575 0.0515220
[547] 0.0519334 0.0521185 0.0521390 0.0521596 0.0523241 0.0526121 0.0526944
[554] 0.0527766 0.0528178 0.0531263 0.0534142 0.0535788 0.0535993 0.0536816
[561] 0.0537433 0.0539696 0.0540107 0.0540724 0.0541752 0.0542986 0.0545660
[568] 0.0546483 0.0547306 0.0548951 0.0552448 0.0553270 0.0553476 0.0556355
[575] 0.0558824 0.0560675 0.0561086 0.0561292 0.0563554 0.0567462 0.0567873
[582] 0.0568490 0.0569107 0.0569313 0.0571987 0.0572604 0.0573427 0.0573838
[589] 0.0574661 0.0576306 0.0579186 0.0580625 0.0581037 0.0582682 0.0584739
[596] 0.0587824 0.0590086 0.0590498 0.0594200 0.0598930 0.0600370 0.0601193
[603] 0.0603661 0.0605101 0.0605718 0.0605923 0.0606129 0.0607569 0.0610243
[610] 0.0612094 0.0612711 0.0613945 0.0617030 0.0619087 0.0619910 0.0620732
[617] 0.0622172 0.0625668 0.0630399 0.0632250 0.0634101 0.0634924 0.0638626
[624] 0.0640683 0.0641506 0.0641917 0.0644796 0.0647265 0.0649321 0.0649527
[631] 0.0650761 0.0651995 0.0654669 0.0655080 0.0655903 0.0656726 0.0658988
[638] 0.0661251 0.0663102 0.0664130 0.0665570 0.0667215 0.0671534 0.0672768
[645] 0.0674002 0.0675648 0.0678527 0.0681407 0.0683052 0.0685315 0.0687988
[652] 0.0688811 0.0689634 0.0690045 0.0690251 0.0691896 0.0693542 0.0695804
[659] 0.0696627 0.0697038 0.0699095 0.0703003 0.0703826 0.0704648 0.0706705
[666] 0.0709996 0.0712258 0.0713698 0.0714521 0.0714932 0.0717606 0.0722131
[673] 0.0723982 0.0725010 0.0727478 0.0729741 0.0730769 0.0730975 0.0733854
[680] 0.0737557 0.0739202 0.0739408 0.0740230 0.0740436 0.0742081 0.0745372
[687] 0.0747018 0.0748252 0.0749280 0.0753394 0.0757919 0.0760181 0.0760387
[694] 0.0761209 0.0763883 0.0767380 0.0767585 0.0767997 0.0769231 0.0772727
[701] 0.0776018 0.0778075 0.0779103 0.0779720 0.0784039 0.0786302 0.0786919
[708] 0.0787330 0.0787536 0.0790621 0.0793706 0.0796586 0.0797203 0.0798231
[715] 0.0800905 0.0806253 0.0807281 0.0807487 0.0808926 0.0809132 0.0812012
[722] 0.0813863 0.0815714 0.0816536 0.0817565 0.0819622 0.0823324 0.0823941
[729] 0.0824558 0.0826820 0.0830317 0.0833608 0.0836076 0.0836487 0.0837104
[736] 0.0838338 0.0843480 0.0845742 0.0846771 0.0848416 0.0850884 0.0853353
[743] 0.0855204 0.0856438 0.0857260 0.0857466 0.0859934 0.0864048 0.0864870
[750] 0.0865282 0.0867750 0.0868778 0.0870424 0.0871863 0.0873303 0.0874537
[757] 0.0877417 0.0882970 0.0885438 0.0886055 0.0888112 0.0890991 0.0895105
[764] 0.0895928 0.0896750 0.0897162 0.0897367 0.0900658 0.0903743 0.0904360
[771] 0.0904977 0.0906211 0.0907240 0.0909914 0.0911148 0.0912793 0.0914439
[778] 0.0917729 0.0920814 0.0922871 0.0923077 0.0924928 0.0927602 0.0933566
[785] 0.0934595 0.0935418 0.0937063 0.0937269 0.0940559 0.0944262 0.0947141
[792] 0.0947552 0.0950021 0.0953517 0.0954957 0.0955368 0.0956191 0.0956397
[799] 0.0959893 0.0961744 0.0963184 0.0964007 0.0965446 0.0967297 0.0973056
[806] 0.0975524 0.0976553 0.0979432 0.0982929 0.0986425 0.0989510 0.0990333
[813] 0.0990539 0.0993418 0.0998766 0.1000411 0.1001851 0.1005348 0.1008844
[820] 0.1011107 0.1011929 0.1012135 0.1012341 0.1014397 0.1020156 0.1022830
[827] 0.1024064 0.1025915 0.1027972 0.1031263 0.1032703 0.1034348 0.1036816
[834] 0.1037022 0.1040930 0.1046483 0.1049568 0.1051213 0.1052653 0.1056355
[841] 0.1058001 0.1059029 0.1059852 0.1061909 0.1065611 0.1067256 0.1067462
[848] 0.1068696 0.1068902 0.1070547 0.1075278 0.1076306 0.1077540 0.1078774
[855] 0.1079391 0.1081859 0.1085561 0.1087824 0.1089675 0.1091732 0.1093789
[862] 0.1100165 0.1101604 0.1103044 0.1105101 0.1108803 0.1112094 0.1114356
[869] 0.1115590 0.1118058 0.1122172 0.1123200 0.1123817 0.1126285 0.1126697
[876] 0.1127931 0.1131222 0.1134307 0.1135130 0.1135747 0.1136158 0.1138626
[883] 0.1143768 0.1145619 0.1146647 0.1148910 0.1152201 0.1155697 0.1156931
[890] 0.1157754 0.1158988 0.1162279 0.1169066 0.1170917 0.1171740 0.1174208
[897] 0.1176882 0.1179556 0.1181201 0.1182230 0.1183464 0.1183669 0.1186549
[904] 0.1192719 0.1196216 0.1198684 0.1200329 0.1205060 0.1207939 0.1209379
[911] 0.1210613 0.1210819 0.1215343 0.1220485 0.1223365 0.1223982 0.1225422
[918] 0.1227478 0.1231592 0.1232209 0.1233032 0.1235088 0.1237968 0.1241464
[925] 0.1245167 0.1246195 0.1248457 0.1249897 0.1256684 0.1259153 0.1260798
[932] 0.1263060 0.1266146 0.1271288 0.1273756 0.1274578 0.1275607 0.1275812
[939] 0.1278075 0.1283834 0.1285891 0.1286919 0.1288770 0.1288976 0.1292267
[946] 0.1295146 0.1299465 0.1300699 0.1302550 0.1304607 0.1310777 0.1311600
[953] 0.1312834 0.1316125 0.1316331 0.1320033 0.1324352 0.1326820 0.1328260
[960] 0.1328671 0.1329083 0.1330934 0.1337104 0.1339161 0.1340189 0.1342246
[967] 0.1342452 0.1344714 0.1348211 0.1349650 0.1350679 0.1351296 0.1351913
[974] 0.1354175 0.1360140 0.1362197 0.1362814 0.1365899 0.1366310 0.1367956
[981] 0.1371658 0.1373920 0.1375566 0.1378445 0.1382764 0.1388935 0.1392225
[988] 0.1392637 0.1394282 0.1394488 0.1397779 0.1402304 0.1403949 0.1404977
[995] 0.1405389 0.1406006 0.1409914 0.1414027 0.1416495 0.1416907 0.1418346
[1002] 0.1419580 0.1424928 0.1427190 0.1429042 0.1431304 0.1431715 0.1435212
[1009] 0.1439120 0.1441999 0.1443028 0.1446113 0.1448581 0.1455780 0.1457836
[1016] 0.1458042 0.1460921 0.1464418 0.1468943 0.1473468 0.1473879 0.1474907
[1023] 0.1477581 0.1483546 0.1485191 0.1486014 0.1488893 0.1489305 0.1493418
[1030] 0.1497738 0.1500823 0.1502262 0.1503702 0.1504114 0.1505759 0.1511929
[1037] 0.1514809 0.1516865 0.1520362 0.1523858 0.1528178 0.1532086 0.1534142
[1044] 0.1535993 0.1538873 0.1547306 0.1549568 0.1549774 0.1553270 0.1553476
[1051] 0.1555533 0.1558618 0.1560469 0.1562320 0.1563554 0.1564171 0.1565817
[1058] 0.1572810 0.1576100 0.1577540 0.1580831 0.1583505 0.1588235 0.1590498
[1065] 0.1592555 0.1595023 0.1595228 0.1598930 0.1605306 0.1608186 0.1609420
[1072] 0.1611888 0.1614151 0.1619087 0.1621349 0.1624023 0.1625668 0.1625874
[1079] 0.1629371 0.1632867 0.1635335 0.1635541 0.1637598 0.1638215 0.1639860
[1086] 0.1645825 0.1647676 0.1649321 0.1652201 0.1653023 0.1655286 0.1661045
[1093] 0.1664747 0.1666392 0.1668861 0.1671946 0.1679761 0.1681201 0.1682641
[1100] 0.1684903 0.1685315 0.1690045 0.1693953 0.1695599 0.1696010 0.1697861
[1107] 0.1700123 0.1705265 0.1708145 0.1708968 0.1712464 0.1712875 0.1715549
[1114] 0.1720074 0.1723776 0.1725216 0.1726450 0.1726861 0.1729124 0.1737351
[1121] 0.1739819 0.1741259 0.1744755 0.1745372 0.1749280 0.1753805 0.1756479
[1128] 0.1757713 0.1758947 0.1759358 0.1763060 0.1768819 0.1772110 0.1773344
[1135] 0.1777046 0.1779720 0.1783834 0.1785479 0.1787330 0.1790415 0.1790621
[1142] 0.1794118 0.1802345 0.1806253 0.1807075 0.1809749 0.1812012 0.1817770
[1149] 0.1820650 0.1823118 0.1824558 0.1824969 0.1828260 0.1833813 0.1837310
[1156] 0.1838132 0.1840806 0.1841218 0.1843480 0.1848622 0.1850679 0.1852530
[1163] 0.1856232 0.1856643 0.1859729 0.1864253 0.1867544 0.1869601 0.1873097
[1170] 0.1875566 0.1882764 0.1885027 0.1887495 0.1891197 0.1891608 0.1896545
[1177] 0.1902098 0.1906006 0.1907034 0.1909297 0.1909708 0.1911765 0.1918552
[1184] 0.1919992 0.1921843 0.1925339 0.1925956 0.1927396 0.1932127 0.1936035
[1191] 0.1938297 0.1940971 0.1943645 0.1950021 0.1951872 0.1953311 0.1958042
[1198] 0.1958248 0.1961333 0.1966475 0.1968943 0.1970588 0.1972439 0.1972851
[1205] 0.1975319 0.1983752 0.1986425 0.1988482 0.1992184 0.1992390 0.1995475
[1212] 0.1998766 0.2000411 0.2002057 0.2003702 0.2004731 0.2007404 0.2014603
[1219] 0.2017277 0.2018511 0.2022419 0.2022830 0.2024064 0.2029206 0.2032703
[1226] 0.2035376 0.2038462 0.2042781 0.2049774 0.2054710 0.2055327 0.2058412
[1233] 0.2060880 0.2066845 0.2068490 0.2069519 0.2071987 0.2072398 0.2076306
[1240] 0.2081654 0.2084327 0.2085767 0.2087618 0.2088030 0.2089675 0.2096462
[1247] 0.2099136 0.2101399 0.2104278 0.2104689 0.2107775 0.2113739 0.2118264
[1254] 0.2119704 0.2124023 0.2126491 0.2134924 0.2138009 0.2139654 0.2143768
[1261] 0.2144179 0.2148499 0.2153846 0.2157960 0.2160016 0.2162485 0.2164130
[1268] 0.2170506 0.2171740 0.2172768 0.2176471 0.2177088 0.2180173 0.2185315
[1275] 0.2189840 0.2191279 0.2193953 0.2194776 0.2196627 0.2206294 0.2209585
[1282] 0.2212464 0.2218429 0.2221719 0.2227478 0.2230358 0.2233237 0.2234883
[1289] 0.2235294 0.2238379 0.2244755 0.2246606 0.2247840 0.2251954 0.2252365
[1296] 0.2254216 0.2257507 0.2260387 0.2262238 0.2265323 0.2266351 0.2267997
[1303] 0.2276224 0.2279515 0.2281366 0.2285891 0.2286508 0.2289181 0.2295146
[1310] 0.2297820 0.2301316 0.2304196 0.2305224 0.2309132 0.2315919 0.2319210
[1317] 0.2320033 0.2323324 0.2326203 0.2331551 0.2334225 0.2336487 0.2339984
[1324] 0.2340601 0.2343891 0.2348622 0.2351707 0.2352735 0.2356643 0.2357260
[1331] 0.2359111 0.2366104 0.2368984 0.2371041 0.2375360 0.2376183 0.2379473
[1338] 0.2386055 0.2390580 0.2392431 0.2395311 0.2397984 0.2406006 0.2407857
[1345] 0.2409297 0.2412793 0.2413204 0.2415878 0.2420609 0.2423900 0.2425134
[1352] 0.2428630 0.2430276 0.2436446 0.2439737 0.2442205 0.2447758 0.2448169
[1359] 0.2452694 0.2458659 0.2463184 0.2465858 0.2468326 0.2468737 0.2471617
[1366] 0.2482106 0.2485397 0.2486220 0.2490745 0.2491156 0.2493624 0.2497943
[1373] 0.2501645 0.2503497 0.2505553 0.2506376 0.2508638 0.2516248 0.2520362
[1380] 0.2522624 0.2528178 0.2531469 0.2536610 0.2539079 0.2541958 0.2545866
[1387] 0.2546277 0.2549157 0.2557589 0.2561086 0.2562937 0.2567256 0.2567462
[1394] 0.2569519 0.2575895 0.2579597 0.2583093 0.2586796 0.2587413 0.2590703
[1401] 0.2597491 0.2601193 0.2601810 0.2605512 0.2606541 0.2608597 0.2615179
[1408] 0.2617647 0.2620938 0.2624023 0.2625463 0.2628137 0.2634718 0.2639860
[1415] 0.2642328 0.2647676 0.2650350 0.2657960 0.2660633 0.2663307 0.2667832
[1422] 0.2668655 0.2671740 0.2677910 0.2680173 0.2681818 0.2684903 0.2685726
[1429] 0.2687577 0.2694776 0.2696833 0.2699506 0.2703620 0.2704443 0.2706499
[1436] 0.2711641 0.2715343 0.2716989 0.2720485 0.2721308 0.2723571 0.2731798
[1443] 0.2734471 0.2736940 0.2744138 0.2745167 0.2748252 0.2754216 0.2758124
[1450] 0.2759770 0.2762032 0.2762443 0.2765734 0.2772727 0.2776224 0.2778075
[1457] 0.2781983 0.2782188 0.2785891 0.2789593 0.2791444 0.2793706 0.2796791
[1464] 0.2798026 0.2800699 0.2809338 0.2813040 0.2814685 0.2820856 0.2821473
[1471] 0.2823324 0.2829288 0.2833196 0.2836898 0.2841423 0.2841629 0.2844714
[1478] 0.2852735 0.2857466 0.2858906 0.2863019 0.2866104 0.2872686 0.2874743
[1485] 0.2876388 0.2880090 0.2880708 0.2884615 0.2890580 0.2893665 0.2895722
[1492] 0.2900658 0.2901275 0.2902921 0.2910119 0.2913204 0.2917318 0.2923283
[1499] 0.2923900 0.2927807 0.2935212 0.2941176 0.2943850 0.2947964 0.2948375
[1506] 0.2951049 0.2959070 0.2961538 0.2964212 0.2968326 0.2968943 0.2972439
[1513] 0.2977170 0.2981489 0.2983957 0.2988071 0.2988276 0.2990128 0.2996503
[1520] 0.2998355 0.3000823 0.3007610 0.3009050 0.3011107 0.3017277 0.3021185
[1527] 0.3024476 0.3028178 0.3029617 0.3031057 0.3041958 0.3045043 0.3048334
[1534] 0.3054299 0.3054504 0.3058206 0.3063760 0.3066845 0.3069107 0.3071164
[1541] 0.3071781 0.3074249 0.3081242 0.3083710 0.3085561 0.3092143 0.3092966
[1548] 0.3094817 0.3098725 0.3102838 0.3106746 0.3110860 0.3112299 0.3115179
[1555] 0.3123200 0.3127314 0.3129165 0.3134307 0.3134924 0.3136775 0.3143974
[1562] 0.3146442 0.3148910 0.3152818 0.3154258 0.3156931 0.3165570 0.3169066
[1569] 0.3170506 0.3175442 0.3175648 0.3177088 0.3183052 0.3185726 0.3189017
[1576] 0.3193336 0.3194159 0.3197038 0.3203826 0.3206911 0.3208556 0.3214521
[1583] 0.3214932 0.3216783 0.3225216 0.3228507 0.3230975 0.3235705 0.3236528
[1590] 0.3240230 0.3246401 0.3251131 0.3253394 0.3256890 0.3257507 0.3259358
[1597] 0.3266968 0.3268614 0.3270876 0.3276018 0.3277458 0.3280543 0.3286302
[1604] 0.3291238 0.3293912 0.3297820 0.3298643 0.3300288 0.3308515 0.3311806
[1611] 0.3315302 0.3323118 0.3326409 0.3332785 0.3336898 0.3339984 0.3343686
[1618] 0.3344508 0.3346771 0.3356232 0.3359317 0.3360963 0.3367544 0.3368367
[1625] 0.3371452 0.3375977 0.3380090 0.3382970 0.3386466 0.3387289 0.3388729
[1632] 0.3398190 0.3401687 0.3403949 0.3410531 0.3410942 0.3414027 0.3418963
[1639] 0.3422460 0.3426573 0.3431715 0.3433566 0.3436240 0.3445084 0.3448375
[1646] 0.3450638 0.3456808 0.3457014 0.3459276 0.3465858 0.3468531 0.3473468
[1653] 0.3477787 0.3478610 0.3481695 0.3488482 0.3491773 0.3493213 0.3498972
[1660] 0.3500000 0.3500823 0.3508433 0.3511518 0.3513986 0.3520773 0.3522830
[1667] 0.3524476 0.3531469 0.3536405 0.3538873 0.3544632 0.3545249 0.3547306
[1674] 0.3554093 0.3557178 0.3560675 0.3564994 0.3566022 0.3569107 0.3574455
[1681] 0.3577129 0.3578980 0.3582682 0.3583093 0.3584944 0.3592143 0.3594200
[1688] 0.3597491 0.3603455 0.3605306 0.3607775 0.3613328 0.3617441 0.3620938
[1695] 0.3625257 0.3626080 0.3627520 0.3636981 0.3641094 0.3643562 0.3650967
[1702] 0.3651584 0.3654052 0.3660222 0.3665775 0.3667832 0.3670712 0.3671329
[1709] 0.3673797 0.3682024 0.3685520 0.3687371 0.3693953 0.3694364 0.3696833
[1716] 0.3701152 0.3703826 0.3705882 0.3709996 0.3711847 0.3713698 0.3721719
[1723] 0.3726039 0.3728507 0.3735088 0.3735705 0.3737968 0.3745372 0.3749074
[1730] 0.3754011 0.3758947 0.3759358 0.3762443 0.3773550 0.3777664 0.3779103
[1737] 0.3784451 0.3785068 0.3786302 0.3792061 0.3795146 0.3798437 0.3803579
[1744] 0.3805430 0.3807898 0.3814068 0.3819210 0.3821678 0.3829288 0.3830522
[1751] 0.3832168 0.3840601 0.3843686 0.3847799 0.3853764 0.3854998 0.3857672
[1758] 0.3865693 0.3870424 0.3873097 0.3877417 0.3878445 0.3880502 0.3888935
[1765] 0.3891814 0.3894899 0.3900247 0.3901687 0.3903743 0.3908885 0.3913410
[1772] 0.3915878 0.3920403 0.3921843 0.3923488 0.3930276 0.3931921 0.3936035
[1779] 0.3943850 0.3945701 0.3947347 0.3953517 0.3958248 0.3961127 0.3965858
[1786] 0.3966886 0.3968531 0.3978404 0.3981900 0.3984574 0.3992184 0.3993213
[1793] 0.3996915 0.4002674 0.4005348 0.4007816 0.4011312 0.4013575 0.4015426
[1800] 0.4024064 0.4028178 0.4030440 0.4036405 0.4037022 0.4038462 0.4042369
[1807] 0.4045866 0.4049568 0.4054710 0.4055944 0.4058618 0.4066845 0.4070341
[1814] 0.4072810 0.4080625 0.4081859 0.4083505 0.4090703 0.4093377 0.4096051
[1821] 0.4100987 0.4102838 0.4105512 0.4111682 0.4115590 0.4117647 0.4122789
[1828] 0.4123406 0.4124846 0.4131839 0.4134307 0.4137803 0.4144385 0.4145208
[1835] 0.4148499 0.4156109 0.4160633 0.4163307 0.4169889 0.4170506 0.4172357
[1842] 0.4179967 0.4183052 0.4187371 0.4192925 0.4194159 0.4197450 0.4203003
[1849] 0.4208556 0.4211641 0.4216578 0.4217606 0.4219663 0.4227273 0.4229535
[1856] 0.4231386 0.4237968 0.4240025 0.4242081 0.4247429 0.4251337 0.4254422
[1863] 0.4259358 0.4261004 0.4261826 0.4270465 0.4273756 0.4277869 0.4286919
[1870] 0.4287536 0.4291238 0.4297408 0.4302962 0.4306458 0.4310572 0.4311806
[1877] 0.4314068 0.4322912 0.4325175 0.4328260 0.4336281 0.4337515 0.4339161
[1884] 0.4344508 0.4348005 0.4352530 0.4356643 0.4358700 0.4360551 0.4368367
[1891] 0.4372480 0.4374949 0.4382970 0.4384204 0.4385644 0.4391197 0.4395516
[1898] 0.4399630 0.4405389 0.4408063 0.4409914 0.4420403 0.4424722 0.4427396
[1905] 0.4433155 0.4433978 0.4435829 0.4440971 0.4443028 0.4447758 0.4452900
[1912] 0.4454340 0.4456397 0.4461744 0.4463390 0.4465035 0.4472645 0.4474496
[1919] 0.4475319 0.4482723 0.4485808 0.4489716 0.4496298 0.4498560 0.4500617
[1926] 0.4508638 0.4513780 0.4516865 0.4522624 0.4523036 0.4524476 0.4533114
[1933] 0.4535993 0.4538667 0.4543809 0.4545455 0.4547923 0.4553065 0.4557178
[1940] 0.4559852 0.4564582 0.4566022 0.4567256 0.4572604 0.4574866 0.4578363
[1947] 0.4585767 0.4587618 0.4590086 0.4595640 0.4599136 0.4602838 0.4608803
[1954] 0.4609831 0.4611477 0.4621555 0.4625257 0.4628342 0.4636364 0.4637598
[1961] 0.4640477 0.4646647 0.4650144 0.4652818 0.4656726 0.4657960 0.4659399
[1968] 0.4667421 0.4670300 0.4672768 0.4680173 0.4680995 0.4683258 0.4687371
[1975] 0.4691485 0.4695187 0.4701152 0.4703209 0.4704854 0.4713698 0.4717812
[1982] 0.4721308 0.4730564 0.4731386 0.4733649 0.4740847 0.4743727 0.4749074
[1989] 0.4754628 0.4756273 0.4759564 0.4766763 0.4770465 0.4772316 0.4777869
[1996] 0.4779515 0.4780543 0.4785891 0.4788770 0.4792678 0.4798848 0.4800905
[2003] 0.4801522 0.4808309 0.4812423 0.4815714 0.4824146 0.4825381 0.4826615
[2010] 0.4833813 0.4836898 0.4841835 0.4849033 0.4851296 0.4853353 0.4859934
[2017] 0.4863225 0.4865693 0.4872069 0.4873097 0.4874743 0.4881942 0.4885027
[2024] 0.4888729 0.4895105 0.4897367 0.4899424 0.4904977 0.4908885 0.4911970
[2031] 0.4917318 0.4918552 0.4919580 0.4926368 0.4928630 0.4932949 0.4941999
[2038] 0.4944467 0.4945907 0.4952077 0.4957014 0.4960716 0.4965652 0.4967503
[2045] 0.4969148 0.4976347 0.4979227 0.4982517 0.4991156 0.4991979 0.4993418
[2052] 0.4998149 0.5000000 0.5001851 0.5006582 0.5008021 0.5008844 0.5017483
[2059] 0.5020773 0.5023653 0.5030852 0.5032497 0.5034348 0.5039284 0.5042986
[2066] 0.5047923 0.5054093 0.5055533 0.5058001 0.5067051 0.5071370 0.5073632
[2073] 0.5080420 0.5081448 0.5082682 0.5088030 0.5091115 0.5095023 0.5100576
[2080] 0.5102633 0.5104895 0.5111271 0.5114973 0.5118058 0.5125257 0.5126903
[2087] 0.5127931 0.5134307 0.5136775 0.5140066 0.5146647 0.5148704 0.5150967
[2094] 0.5158165 0.5163102 0.5166187 0.5173385 0.5174619 0.5175854 0.5184286
[2101] 0.5187577 0.5191691 0.5198478 0.5199095 0.5201152 0.5207322 0.5211230
[2108] 0.5214109 0.5219457 0.5220485 0.5222131 0.5227684 0.5229535 0.5233237
[2115] 0.5240436 0.5243727 0.5245372 0.5250926 0.5256273 0.5259153 0.5266351
[2122] 0.5268614 0.5269436 0.5278692 0.5282188 0.5286302 0.5295146 0.5296791
[2129] 0.5298848 0.5304813 0.5308515 0.5312629 0.5316742 0.5319005 0.5319827
[2136] 0.5327232 0.5329700 0.5332579 0.5340601 0.5342040 0.5343274 0.5347182
[2143] 0.5349856 0.5353353 0.5359523 0.5362402 0.5363636 0.5371658 0.5374743
[2150] 0.5378445 0.5388523 0.5390169 0.5391197 0.5397162 0.5400864 0.5404360
[2157] 0.5409914 0.5412382 0.5414233 0.5421637 0.5425134 0.5427396 0.5432744
[2164] 0.5433978 0.5435418 0.5440148 0.5442822 0.5446935 0.5452077 0.5454545
[2171] 0.5456191 0.5461333 0.5464007 0.5466886 0.5475524 0.5476964 0.5477376
[2178] 0.5483135 0.5486220 0.5491362 0.5499383 0.5501440 0.5503702 0.5510284
[2185] 0.5514192 0.5517277 0.5524681 0.5525504 0.5527355 0.5534965 0.5536610
[2192] 0.5538256 0.5543603 0.5545660 0.5547100 0.5552242 0.5556972 0.5559029
[2199] 0.5564171 0.5566022 0.5566845 0.5572604 0.5575278 0.5579597 0.5590086
[2206] 0.5591937 0.5594611 0.5600370 0.5604484 0.5608803 0.5614356 0.5615796
[2213] 0.5617030 0.5625051 0.5627520 0.5631633 0.5639449 0.5641300 0.5643357
[2220] 0.5647470 0.5651995 0.5655492 0.5660839 0.5662485 0.5663719 0.5671740
[2227] 0.5674825 0.5677088 0.5685932 0.5688194 0.5689428 0.5693542 0.5697038
[2234] 0.5702592 0.5708762 0.5712464 0.5713081 0.5722131 0.5726244 0.5729535
[2241] 0.5738174 0.5738996 0.5740642 0.5745578 0.5748663 0.5752571 0.5757919
[2248] 0.5759975 0.5762032 0.5768614 0.5770465 0.5772727 0.5780337 0.5782394
[2255] 0.5783422 0.5788359 0.5791444 0.5796997 0.5802550 0.5805841 0.5807075
[2262] 0.5812629 0.5816948 0.5820033 0.5827643 0.5829494 0.5830111 0.5836693
[2269] 0.5839367 0.5843891 0.5851501 0.5854792 0.5855615 0.5862197 0.5865693
[2276] 0.5868161 0.5875154 0.5876594 0.5877211 0.5882353 0.5884410 0.5888318
[2283] 0.5894488 0.5897162 0.5899013 0.5903949 0.5906623 0.5909297 0.5916495
[2290] 0.5918141 0.5919375 0.5927190 0.5929659 0.5933155 0.5941382 0.5944056
[2297] 0.5945290 0.5950432 0.5954134 0.5957631 0.5961538 0.5962978 0.5963595
[2304] 0.5969560 0.5971822 0.5975936 0.5984574 0.5986425 0.5988688 0.5992184
[2311] 0.5994652 0.5997326 0.6003085 0.6006787 0.6007816 0.6015426 0.6018100
[2318] 0.6021596 0.6031469 0.6033114 0.6034142 0.6038873 0.6041752 0.6046483
[2325] 0.6052653 0.6054299 0.6056150 0.6063965 0.6068079 0.6069724 0.6076512
[2332] 0.6078157 0.6079597 0.6084122 0.6086590 0.6091115 0.6096257 0.6098313
[2339] 0.6099753 0.6105101 0.6108186 0.6111065 0.6119498 0.6121555 0.6122583
[2346] 0.6126903 0.6129576 0.6134307 0.6142328 0.6145002 0.6146236 0.6152201
[2353] 0.6156314 0.6159399 0.6167832 0.6169478 0.6170712 0.6178322 0.6180790
[2360] 0.6185932 0.6192102 0.6194570 0.6196421 0.6201563 0.6204854 0.6207939
[2367] 0.6213698 0.6214932 0.6215549 0.6220897 0.6222336 0.6226450 0.6237557
[2374] 0.6240642 0.6241053 0.6245989 0.6250926 0.6254628 0.6262032 0.6264295
[2381] 0.6264912 0.6271493 0.6273961 0.6278281 0.6286302 0.6288153 0.6290004
[2388] 0.6294118 0.6296174 0.6298848 0.6303167 0.6305636 0.6306047 0.6312629
[2395] 0.6314480 0.6317976 0.6326203 0.6328671 0.6329288 0.6332168 0.6334225
[2402] 0.6339778 0.6345948 0.6348416 0.6349033 0.6356438 0.6358906 0.6363019
[2409] 0.6372480 0.6373920 0.6374743 0.6379062 0.6382559 0.6386672 0.6392225
[2416] 0.6394694 0.6396545 0.6402509 0.6405800 0.6407857 0.6415056 0.6416907
[2423] 0.6417318 0.6421020 0.6422871 0.6425545 0.6430893 0.6433978 0.6435006
[2430] 0.6439325 0.6442822 0.6445907 0.6452694 0.6454751 0.6455368 0.6461127
[2437] 0.6463595 0.6468531 0.6475524 0.6477170 0.6479227 0.6486014 0.6488482
[2444] 0.6491567 0.6499177 0.6500000 0.6501028 0.6506787 0.6508227 0.6511518
[2451] 0.6518305 0.6521390 0.6522213 0.6526532 0.6531469 0.6534142 0.6540724
[2458] 0.6542986 0.6543192 0.6549362 0.6551625 0.6554916 0.6563760 0.6566434
[2465] 0.6568285 0.6573427 0.6577540 0.6581037 0.6585973 0.6589058 0.6589469
[2472] 0.6596051 0.6598313 0.6601810 0.6611271 0.6612711 0.6613534 0.6617030
[2479] 0.6619910 0.6624023 0.6628548 0.6631633 0.6632456 0.6639037 0.6640683
[2486] 0.6643768 0.6653229 0.6655492 0.6656314 0.6660016 0.6663102 0.6667215
[2493] 0.6673591 0.6676882 0.6684698 0.6688194 0.6691485 0.6699712 0.6701357
[2500] 0.6702180 0.6706088 0.6708762 0.6713698 0.6719457 0.6722542 0.6723982
[2507] 0.6729124 0.6731386 0.6733032 0.6740642 0.6742493 0.6743110 0.6746606
[2514] 0.6748869 0.6753599 0.6759770 0.6763472 0.6764295 0.6769025 0.6771493
[2521] 0.6774784 0.6783217 0.6785068 0.6785479 0.6791444 0.6793089 0.6796174
[2528] 0.6802962 0.6805841 0.6806664 0.6810983 0.6814274 0.6816948 0.6822912
[2535] 0.6824352 0.6824558 0.6829494 0.6830934 0.6834430 0.6843069 0.6845742
[2542] 0.6847182 0.6851090 0.6853558 0.6856026 0.6863225 0.6865076 0.6865693
[2549] 0.6870835 0.6872686 0.6876800 0.6884821 0.6887701 0.6889140 0.6893254
[2556] 0.6897162 0.6901275 0.6905183 0.6907034 0.6907857 0.6914439 0.6916290
[2563] 0.6918758 0.6925751 0.6928219 0.6928836 0.6930893 0.6933155 0.6936240
[2570] 0.6941794 0.6945496 0.6945701 0.6951666 0.6954957 0.6958042 0.6968943
[2577] 0.6970383 0.6971822 0.6975524 0.6978815 0.6982723 0.6988893 0.6990950
[2584] 0.6992390 0.6999177 0.7001645 0.7003497 0.7009872 0.7011724 0.7011929
[2591] 0.7016043 0.7018511 0.7022830 0.7027561 0.7031057 0.7031674 0.7035788
[2598] 0.7038462 0.7040930 0.7048951 0.7051625 0.7052036 0.7056150 0.7058824
[2605] 0.7064788 0.7072193 0.7076100 0.7076717 0.7082682 0.7086796 0.7089881
[2612] 0.7097079 0.7098725 0.7099342 0.7104278 0.7106335 0.7109420 0.7115385
[2619] 0.7119292 0.7119910 0.7123612 0.7125257 0.7127314 0.7133896 0.7136981
[2626] 0.7141094 0.7142534 0.7147265 0.7155286 0.7158371 0.7158577 0.7163102
[2633] 0.7166804 0.7170712 0.7176676 0.7178527 0.7179144 0.7185315 0.7186960
[2640] 0.7190662 0.7199301 0.7201974 0.7203209 0.7206294 0.7208556 0.7210407
[2647] 0.7214109 0.7217812 0.7218017 0.7221925 0.7223776 0.7227273 0.7234266
[2654] 0.7237557 0.7237968 0.7240230 0.7241876 0.7245784 0.7251748 0.7254833
[2661] 0.7255862 0.7263060 0.7265529 0.7268202 0.7276429 0.7278692 0.7279515
[2668] 0.7283011 0.7284657 0.7288359 0.7293501 0.7295557 0.7296380 0.7300494
[2675] 0.7303167 0.7305224 0.7312423 0.7314274 0.7315097 0.7318182 0.7319827
[2682] 0.7322090 0.7328260 0.7331345 0.7332168 0.7336693 0.7339367 0.7342040
[2689] 0.7349650 0.7352324 0.7357672 0.7360140 0.7365282 0.7371863 0.7374537
[2696] 0.7375977 0.7379062 0.7382353 0.7384821 0.7391403 0.7393459 0.7394488
[2703] 0.7398190 0.7398807 0.7402509 0.7409297 0.7412587 0.7413204 0.7416907
[2710] 0.7420403 0.7424105 0.7430481 0.7432538 0.7432744 0.7437063 0.7438914
[2717] 0.7442411 0.7450843 0.7453723 0.7454134 0.7458042 0.7460921 0.7463390
[2724] 0.7468531 0.7471822 0.7477376 0.7479638 0.7483752 0.7491362 0.7493624
[2731] 0.7494447 0.7496503 0.7498355 0.7502057 0.7506376 0.7508844 0.7509255
[2738] 0.7513780 0.7514603 0.7517894 0.7528383 0.7531263 0.7531674 0.7534142
[2745] 0.7536816 0.7541341 0.7547306 0.7551831 0.7552242 0.7557795 0.7560263
[2752] 0.7563554 0.7569724 0.7571370 0.7574866 0.7576100 0.7579391 0.7584122
[2759] 0.7586796 0.7587207 0.7590703 0.7592143 0.7593994 0.7602016 0.7604689
[2766] 0.7607569 0.7609420 0.7613945 0.7620527 0.7623817 0.7624640 0.7628959
[2773] 0.7631016 0.7633896 0.7640889 0.7642740 0.7643357 0.7647265 0.7648293
[2780] 0.7651378 0.7656109 0.7659399 0.7660016 0.7663513 0.7665775 0.7668449
[2787] 0.7673797 0.7676676 0.7679967 0.7680790 0.7684081 0.7690868 0.7694776
[2794] 0.7695804 0.7698684 0.7702180 0.7704854 0.7710819 0.7713492 0.7714109
[2801] 0.7718634 0.7720485 0.7723776 0.7732003 0.7733649 0.7734677 0.7737762
[2808] 0.7739613 0.7742493 0.7745784 0.7747635 0.7748046 0.7752160 0.7753394
[2815] 0.7755245 0.7761621 0.7764706 0.7765117 0.7766763 0.7769642 0.7772522
[2822] 0.7778281 0.7781571 0.7787536 0.7790415 0.7793706 0.7803373 0.7805224
[2829] 0.7806047 0.7808721 0.7810160 0.7814685 0.7819827 0.7822912 0.7823529
[2836] 0.7827232 0.7828260 0.7829494 0.7835870 0.7837515 0.7839984 0.7842040
[2843] 0.7846154 0.7851501 0.7855821 0.7856232 0.7860346 0.7861991 0.7865076
[2850] 0.7873509 0.7875977 0.7880296 0.7881736 0.7886261 0.7892225 0.7895311
[2857] 0.7895722 0.7898601 0.7900864 0.7903538 0.7910325 0.7911970 0.7912382
[2864] 0.7914233 0.7915673 0.7918346 0.7923694 0.7927602 0.7928013 0.7930481
[2871] 0.7931510 0.7933155 0.7939120 0.7941588 0.7944673 0.7945290 0.7950226
[2878] 0.7957219 0.7961538 0.7964624 0.7967297 0.7970794 0.7975936 0.7977170
[2885] 0.7977581 0.7981489 0.7982723 0.7985397 0.7992596 0.7995269 0.7996298
[2892] 0.7997943 0.7999589 0.8001234 0.8004525 0.8007610 0.8007816 0.8011518
[2899] 0.8013575 0.8016248 0.8024681 0.8027149 0.8027561 0.8029412 0.8031057
[2906] 0.8033525 0.8038667 0.8041752 0.8041958 0.8046689 0.8048128 0.8049979
[2913] 0.8056355 0.8059029 0.8061703 0.8063965 0.8067873 0.8072604 0.8074044
[2920] 0.8074661 0.8078157 0.8080008 0.8081448 0.8088235 0.8090292 0.8090703
[2927] 0.8092966 0.8093994 0.8097902 0.8103455 0.8108392 0.8108803 0.8112505
[2934] 0.8114973 0.8117236 0.8124434 0.8126903 0.8130399 0.8132456 0.8135747
[2941] 0.8140271 0.8143357 0.8143768 0.8147470 0.8149321 0.8151378 0.8156520
[2948] 0.8158782 0.8159194 0.8161868 0.8162690 0.8166187 0.8171740 0.8175031
[2955] 0.8175442 0.8176882 0.8179350 0.8182230 0.8187988 0.8190251 0.8192925
[2962] 0.8193747 0.8197655 0.8205882 0.8209379 0.8209585 0.8212670 0.8214521
[2969] 0.8216166 0.8220280 0.8222954 0.8226656 0.8227890 0.8231181 0.8236940
[2976] 0.8240642 0.8241053 0.8242287 0.8243521 0.8246195 0.8250720 0.8254628
[2983] 0.8255245 0.8258741 0.8260181 0.8262649 0.8270876 0.8273139 0.8273550
[2990] 0.8274784 0.8276224 0.8279926 0.8284451 0.8287125 0.8287536 0.8291032
[2997] 0.8291855 0.8294735 0.8299877 0.8302139 0.8303990 0.8304401 0.8306047
[3004] 0.8309955 0.8314685 0.8315097 0.8317359 0.8318799 0.8320239 0.8328054
[3011] 0.8331139 0.8333608 0.8335253 0.8338955 0.8344714 0.8346977 0.8347799
[3018] 0.8350679 0.8352324 0.8354175 0.8360140 0.8361785 0.8362402 0.8364459
[3025] 0.8364665 0.8367133 0.8370629 0.8374126 0.8374332 0.8375977 0.8378651
[3032] 0.8380913 0.8385849 0.8388112 0.8390580 0.8391814 0.8394694 0.8401070
[3039] 0.8404772 0.8404977 0.8407445 0.8409502 0.8411765 0.8416495 0.8419169
[3046] 0.8422460 0.8423900 0.8427190 0.8434183 0.8435829 0.8436446 0.8437680
[3053] 0.8439531 0.8441382 0.8444467 0.8446524 0.8446730 0.8450226 0.8450432
[3060] 0.8452694 0.8461127 0.8464007 0.8465858 0.8467914 0.8471822 0.8476142
[3067] 0.8479638 0.8483135 0.8485191 0.8488071 0.8494241 0.8495886 0.8496298
[3074] 0.8497738 0.8499177 0.8502262 0.8506582 0.8510695 0.8511107 0.8513986
[3081] 0.8514809 0.8516454 0.8522419 0.8525093 0.8526121 0.8526532 0.8531057
[3088] 0.8535582 0.8539079 0.8541958 0.8542164 0.8544220 0.8551419 0.8553887
[3095] 0.8556972 0.8558001 0.8560880 0.8564788 0.8568285 0.8568696 0.8570958
[3102] 0.8572810 0.8575072 0.8580420 0.8581654 0.8583093 0.8583505 0.8585973
[3109] 0.8590086 0.8593994 0.8594611 0.8595023 0.8596051 0.8597696 0.8602221
[3116] 0.8605512 0.8605718 0.8607363 0.8607775 0.8611065 0.8617236 0.8621555
[3123] 0.8624434 0.8626080 0.8628342 0.8632044 0.8633690 0.8634101 0.8637186
[3130] 0.8637803 0.8639860 0.8645825 0.8648087 0.8648704 0.8649321 0.8650350
[3137] 0.8651789 0.8655286 0.8657548 0.8657754 0.8659811 0.8660839 0.8662896
[3144] 0.8669066 0.8670917 0.8671329 0.8671740 0.8673180 0.8675648 0.8679967
[3151] 0.8683669 0.8683875 0.8687166 0.8688400 0.8689223 0.8695393 0.8697450
[3158] 0.8699301 0.8700535 0.8704854 0.8707733 0.8711024 0.8711230 0.8713081
[3165] 0.8714109 0.8716166 0.8721925 0.8724188 0.8724393 0.8725422 0.8726244
[3172] 0.8728712 0.8733854 0.8736940 0.8739202 0.8740847 0.8743316 0.8750103
[3179] 0.8751543 0.8753805 0.8754833 0.8758536 0.8762032 0.8764912 0.8766968
[3186] 0.8767791 0.8768408 0.8772522 0.8774578 0.8776018 0.8776635 0.8779515
[3193] 0.8784657 0.8789181 0.8789387 0.8790621 0.8792061 0.8794940 0.8799671
[3200] 0.8801316 0.8803784 0.8807281 0.8813451 0.8816331 0.8816536 0.8817770
[3207] 0.8818799 0.8820444 0.8823118 0.8825792 0.8828260 0.8829083 0.8830934
[3214] 0.8837721 0.8841012 0.8842246 0.8843069 0.8844303 0.8847799 0.8851090
[3221] 0.8853353 0.8854381 0.8856232 0.8861374 0.8863842 0.8864253 0.8864870
[3228] 0.8865693 0.8868778 0.8872069 0.8873303 0.8873715 0.8876183 0.8876800
[3235] 0.8877828 0.8881942 0.8884410 0.8885644 0.8887906 0.8891197 0.8894899
[3242] 0.8896956 0.8898396 0.8899835 0.8906211 0.8908268 0.8910325 0.8912176
[3249] 0.8914439 0.8918141 0.8920609 0.8921226 0.8922460 0.8923694 0.8924722
[3256] 0.8929453 0.8931098 0.8931304 0.8932538 0.8932744 0.8934389 0.8938091
[3263] 0.8940148 0.8940971 0.8941999 0.8943645 0.8947347 0.8948787 0.8950432
[3270] 0.8953517 0.8959070 0.8962978 0.8963184 0.8965652 0.8967297 0.8968737
[3277] 0.8972028 0.8974085 0.8975936 0.8977170 0.8979844 0.8985603 0.8987659
[3284] 0.8987865 0.8988071 0.8988893 0.8991156 0.8994652 0.8998149 0.8999589
[3291] 0.9001234 0.9006582 0.9009461 0.9009667 0.9010490 0.9013575 0.9017071
[3298] 0.9020568 0.9023447 0.9024476 0.9026944 0.9032703 0.9034554 0.9035993
[3305] 0.9036816 0.9038256 0.9040107 0.9043603 0.9043809 0.9044632 0.9045043
[3312] 0.9046483 0.9049979 0.9052448 0.9052859 0.9055738 0.9059441 0.9062731
[3319] 0.9062937 0.9064582 0.9065405 0.9066434 0.9072398 0.9075072 0.9076923
[3326] 0.9077129 0.9079186 0.9082271 0.9085561 0.9087207 0.9088852 0.9090086
[3333] 0.9092760 0.9093789 0.9095023 0.9095640 0.9096257 0.9099342 0.9102633
[3340] 0.9102838 0.9103250 0.9104072 0.9104895 0.9109009 0.9111888 0.9113945
[3347] 0.9114562 0.9117030 0.9122583 0.9125463 0.9126697 0.9128137 0.9129576
[3354] 0.9131222 0.9132250 0.9134718 0.9135130 0.9135952 0.9140066 0.9142534
[3361] 0.9142740 0.9143562 0.9144796 0.9146647 0.9149116 0.9151584 0.9153229
[3368] 0.9154258 0.9156520 0.9161662 0.9162896 0.9163513 0.9163924 0.9166392
[3375] 0.9169683 0.9173180 0.9175442 0.9176059 0.9176676 0.9180378 0.9182435
[3382] 0.9183464 0.9184286 0.9186137 0.9187988 0.9190868 0.9191074 0.9192513
[3389] 0.9192719 0.9193747 0.9199095 0.9201769 0.9202797 0.9203414 0.9206294
[3396] 0.9209379 0.9212464 0.9212670 0.9213081 0.9213698 0.9215961 0.9220280
[3403] 0.9220897 0.9221925 0.9223982 0.9227273 0.9230769 0.9232003 0.9232415
[3410] 0.9232620 0.9236117 0.9238791 0.9239613 0.9239819 0.9242081 0.9246606
[3417] 0.9250720 0.9251748 0.9252982 0.9254628 0.9257919 0.9259564 0.9259770
[3424] 0.9260592 0.9260798 0.9262443 0.9266146 0.9269025 0.9269231 0.9270259
[3431] 0.9272522 0.9274990 0.9276018 0.9277869 0.9282394 0.9285068 0.9285479
[3438] 0.9286302 0.9287742 0.9290004 0.9293295 0.9295352 0.9296174 0.9296997
[3445] 0.9300905 0.9302962 0.9303373 0.9304196 0.9306458 0.9308104 0.9309749
[3452] 0.9309955 0.9310366 0.9311189 0.9312012 0.9314685 0.9316948 0.9318593
[3459] 0.9321473 0.9324352 0.9325998 0.9327232 0.9328466 0.9332785 0.9334430
[3466] 0.9335870 0.9336898 0.9338749 0.9341012 0.9343274 0.9344097 0.9344920
[3473] 0.9345331 0.9348005 0.9349239 0.9350473 0.9350679 0.9352735 0.9355204
[3480] 0.9358083 0.9358494 0.9359317 0.9361374 0.9365076 0.9365899 0.9367750
[3487] 0.9369601 0.9374332 0.9377828 0.9379268 0.9380090 0.9380913 0.9382970
[3494] 0.9386055 0.9387289 0.9387906 0.9389757 0.9392431 0.9393871 0.9394077
[3501] 0.9394282 0.9394899 0.9396339 0.9398807 0.9399630 0.9401070 0.9405800
[3508] 0.9409502 0.9409914 0.9412176 0.9415261 0.9417318 0.9418963 0.9419375
[3515] 0.9420814 0.9423694 0.9425339 0.9426162 0.9426573 0.9427396 0.9428013
[3522] 0.9430687 0.9430893 0.9431510 0.9432127 0.9432538 0.9436446 0.9438708
[3529] 0.9438914 0.9439325 0.9441176 0.9443645 0.9446524 0.9446730 0.9447552
[3536] 0.9451049 0.9452694 0.9453517 0.9454340 0.9457014 0.9458248 0.9459276
[3543] 0.9459893 0.9460304 0.9462567 0.9463184 0.9464007 0.9464212 0.9465858
[3550] 0.9468737 0.9471822 0.9472234 0.9473056 0.9473879 0.9476759 0.9478404
[3557] 0.9478610 0.9478815 0.9480666 0.9484780 0.9486425 0.9486837 0.9487248
[3564] 0.9488893 0.9490539 0.9492596 0.9493624 0.9494035 0.9497326 0.9499383
[3571] 0.9499589 0.9500411 0.9501851 0.9503291 0.9505759 0.9506582 0.9507199
[3578] 0.9509255 0.9512752 0.9513780 0.9513986 0.9515837 0.9517894 0.9519745
[3585] 0.9520568 0.9520979 0.9521802 0.9524681 0.9526738 0.9526944 0.9527355
[3592] 0.9529000 0.9531263 0.9534554 0.9535788 0.9536405 0.9536610 0.9539284
[3599] 0.9541547 0.9542369 0.9542781 0.9544426 0.9545455 0.9548540 0.9548951
[3606] 0.9550596 0.9553270 0.9553682 0.9554504 0.9555327 0.9556767 0.9560469
[3613] 0.9560880 0.9561086 0.9563760 0.9566228 0.9567256 0.9567668 0.9568490
[3620] 0.9571575 0.9573838 0.9574866 0.9575689 0.9575895 0.9577334 0.9578363
[3627] 0.9578980 0.9579186 0.9580008 0.9581654 0.9584327 0.9584739 0.9585561
[3634] 0.9586384 0.9587618 0.9587824 0.9588030 0.9589264 0.9592760 0.9594406
[3641] 0.9594817 0.9595640 0.9597491 0.9600165 0.9601604 0.9602016 0.9604689
[3648] 0.9605718 0.9606129 0.9606746 0.9607569 0.9608186 0.9609009 0.9609420
[3655] 0.9609626 0.9610037 0.9613328 0.9614768 0.9614973 0.9616619 0.9618881
[3662] 0.9621349 0.9621555 0.9622583 0.9625463 0.9626080 0.9626491 0.9626903
[3669] 0.9628754 0.9631016 0.9633690 0.9634307 0.9634718 0.9634924 0.9636569
[3676] 0.9638626 0.9638832 0.9640477 0.9642534 0.9645619 0.9647059 0.9650144
[3683] 0.9651172 0.9652201 0.9655492 0.9657960 0.9658371 0.9658782 0.9659399
[3690] 0.9660633 0.9661662 0.9662279 0.9662485 0.9663719 0.9665570 0.9667626
[3697] 0.9668038 0.9668655 0.9669066 0.9672151 0.9672357 0.9673385 0.9676265
[3704] 0.9679350 0.9680790 0.9683052 0.9684286 0.9685315 0.9685726 0.9686137
[3711] 0.9688194 0.9689428 0.9689840 0.9690045 0.9690868 0.9692925 0.9693336
[3718] 0.9693747 0.9693953 0.9695187 0.9696216 0.9696421 0.9697038 0.9698272
[3725] 0.9698889 0.9700535 0.9700740 0.9701357 0.9703826 0.9705060 0.9705677
[3732] 0.9706911 0.9708350 0.9711230 0.9711436 0.9711641 0.9712258 0.9713904
[3739] 0.9714932 0.9715343 0.9715755 0.9716989 0.9719251 0.9719868 0.9720485
[3746] 0.9720897 0.9721719 0.9723159 0.9723365 0.9723571 0.9725216 0.9726861
[3753] 0.9727684 0.9728301 0.9729329 0.9730975 0.9731386 0.9731798 0.9734471
[3760] 0.9736734 0.9736940 0.9737351 0.9738379 0.9740025 0.9740847 0.9741670
[3767] 0.9744344 0.9745784 0.9745989 0.9746812 0.9747635 0.9750103 0.9750720
[3774] 0.9753599 0.9754422 0.9755450 0.9757507 0.9759564 0.9759770 0.9761621
[3781] 0.9763677 0.9763883 0.9764706 0.9765940 0.9767585 0.9767791 0.9768408
[3788] 0.9769642 0.9770053 0.9771288 0.9772727 0.9774784 0.9775401 0.9777869
[3795] 0.9778898 0.9779720 0.9781983 0.9783628 0.9784245 0.9784862 0.9785479
[3802] 0.9786302 0.9786508 0.9786713 0.9787947 0.9789181 0.9790004 0.9790210
[3809] 0.9791238 0.9791444 0.9792884 0.9795352 0.9795763 0.9796586 0.9798231
[3816] 0.9799260 0.9799877 0.9800082 0.9800288 0.9802139 0.9802962 0.9803167
[3823] 0.9803373 0.9804401 0.9805019 0.9806664 0.9807487 0.9808926 0.9810160
[3830] 0.9810777 0.9814068 0.9815097 0.9817565 0.9817976 0.9818387 0.9819005
[3837] 0.9819827 0.9821267 0.9821473 0.9821678 0.9822090 0.9823735 0.9824146
[3844] 0.9824558 0.9827026 0.9827232 0.9827437 0.9828466 0.9829494 0.9830317
[3851] 0.9831962 0.9834019 0.9834225 0.9835047 0.9835459 0.9835870 0.9837310
[3858] 0.9838749 0.9841012 0.9841218 0.9841423 0.9841629 0.9843686 0.9844714
[3865] 0.9845537 0.9846565 0.9846977 0.9847182 0.9848828 0.9849445 0.9849856
[3872] 0.9851090 0.9852118 0.9853353 0.9853970 0.9854175 0.9855409 0.9856438
[3879] 0.9858083 0.9858494 0.9859317 0.9860140 0.9860551 0.9861580 0.9862608
[3886] 0.9862814 0.9863431 0.9865487 0.9865899 0.9866310 0.9867750 0.9869601
[3893] 0.9870012 0.9870218 0.9871041 0.9871863 0.9873303 0.9874126 0.9874332
[3900] 0.9874743 0.9875771 0.9875977 0.9876594 0.9878445 0.9880502 0.9881119
[3907] 0.9882147 0.9883381 0.9883587 0.9884204 0.9885438 0.9885849 0.9887906
[3914] 0.9888318 0.9888729 0.9889140 0.9889757 0.9890374 0.9891608 0.9892842
[3921] 0.9894077 0.9894282 0.9894694 0.9896133 0.9896339 0.9896956 0.9898807
[3928] 0.9899218 0.9900041 0.9901070 0.9901481 0.9902921 0.9903332 0.9903538
[3935] 0.9903743 0.9904360 0.9904566 0.9905389 0.9906828 0.9908063 0.9908680
[3942] 0.9910325 0.9910942 0.9911559 0.9912587 0.9914027 0.9914644 0.9914850
[3949] 0.9915261 0.9915878 0.9916907 0.9917318 0.9919169 0.9919580 0.9920403
[3956] 0.9922049 0.9922666 0.9923900 0.9924105 0.9924517 0.9925134 0.9926162
[3963] 0.9926573 0.9927396 0.9929042 0.9929453 0.9930070 0.9930481 0.9931304
[3970] 0.9932332 0.9932538 0.9932949 0.9933155 0.9933566 0.9934595 0.9935006
[3977] 0.9935212 0.9935418 0.9936446 0.9937063 0.9937474 0.9938297 0.9938503
[3984] 0.9938914 0.9939325 0.9939737 0.9941176 0.9941382 0.9941794 0.9942205
[3991] 0.9942411 0.9943233 0.9943645 0.9944879 0.9945084 0.9945290 0.9946318
[3998] 0.9946935 0.9947141 0.9947758 0.9949609 0.9950226 0.9950638 0.9951049
[4005] 0.9952283 0.9952489 0.9953928 0.9954751 0.9955368 0.9956191 0.9956602
[4012] 0.9956808 0.9957631 0.9958248 0.9958659 0.9959070 0.9959482 0.9959893
[4019] 0.9960099 0.9961127 0.9961538 0.9961950 0.9962155 0.9962361 0.9963390
[4026] 0.9963801 0.9964418 0.9965035 0.9965241 0.9965446 0.9965858 0.9967092
[4033] 0.9967297 0.9968531 0.9968943 0.9969148 0.9969971 0.9970177 0.9970383
[4040] 0.9971205 0.9972645 0.9973468 0.9973879 0.9974085 0.9974290 0.9975113
[4047] 0.9975319 0.9976142 0.9976759 0.9976964 0.9978198 0.9978610 0.9979021
[4054] 0.9979227 0.9979638 0.9979844 0.9980666 0.9980872 0.9981489 0.9981900
[4061] 0.9982517 0.9982723 0.9983135 0.9983340 0.9983546 0.9984163 0.9984574
[4068] 0.9985397 0.9985808 0.9986014 0.9986631 0.9987042 0.9987248 0.9988071
[4075] 0.9988688 0.9989099 0.9989305 0.9989716 0.9990950 0.9991362 0.9991567
[4082] 0.9991773 0.9992184 0.9992596 0.9993007 0.9993213 0.9993418 0.9993624
[4089] 0.9994035 0.9994241 0.9994447 0.9994858 0.9995269 0.9995886 0.9996503
[4096] 0.9996915 0.9997326 0.9997532 0.9997943 0.9998355 0.9998560 0.9998972
[4103] 0.9999177 0.9999589 0.9999794 1.0000000
> round(dp_it1_SR <- dperm(it1_SR, supp_it1_SR), 7)
[1] 0.0000206 0.0000206 0.0000411 0.0000206 0.0000411 0.0000206 0.0000411
[8] 0.0000411 0.0000206 0.0000411 0.0000411 0.0000617 0.0000617 0.0000411
[15] 0.0000411 0.0000206 0.0000206 0.0000411 0.0000206 0.0000206 0.0000206
[22] 0.0000411 0.0000411 0.0000411 0.0000206 0.0000206 0.0000411 0.0001234
[29] 0.0000411 0.0000206 0.0000411 0.0000617 0.0000823 0.0000206 0.0000411
[36] 0.0000617 0.0000206 0.0000411 0.0000823 0.0000411 0.0000617 0.0000206
[43] 0.0000206 0.0000411 0.0000206 0.0000617 0.0000411 0.0000617 0.0000206
[50] 0.0000823 0.0000206 0.0000411 0.0000206 0.0000411 0.0000411 0.0001234
[57] 0.0000206 0.0000617 0.0000823 0.0000206 0.0000823 0.0000206 0.0000206
[64] 0.0000411 0.0000823 0.0001440 0.0000823 0.0000206 0.0000206 0.0000823
[71] 0.0000206 0.0000411 0.0001234 0.0000206 0.0001234 0.0000411 0.0000206
[78] 0.0000206 0.0000617 0.0000617 0.0000411 0.0001028 0.0000206 0.0000206
[85] 0.0000411 0.0000411 0.0001028 0.0000206 0.0000411 0.0000411 0.0000411
[92] 0.0000411 0.0000617 0.0000823 0.0000206 0.0000411 0.0000823 0.0000617
[99] 0.0000823 0.0001440 0.0000206 0.0001234 0.0000411 0.0000411 0.0000617
[106] 0.0001851 0.0000617 0.0000206 0.0000617 0.0001028 0.0000206 0.0000206
[113] 0.0001234 0.0000411 0.0000823 0.0000206 0.0000411 0.0000411 0.0000206
[120] 0.0001440 0.0000411 0.0000411 0.0000411 0.0000206 0.0000823 0.0000411
[127] 0.0000617 0.0001028 0.0000206 0.0000206 0.0000411 0.0001028 0.0000411
[134] 0.0000206 0.0000411 0.0000206 0.0001028 0.0000823 0.0000411 0.0000617
[141] 0.0000411 0.0001645 0.0000823 0.0000411 0.0001028 0.0000617 0.0000411
[148] 0.0000206 0.0001234 0.0000617 0.0001645 0.0000823 0.0000411 0.0001851
[155] 0.0000411 0.0001028 0.0000617 0.0000411 0.0000206 0.0000617 0.0001440
[162] 0.0001028 0.0000617 0.0000617 0.0001645 0.0000617 0.0001234 0.0001440
[169] 0.0000823 0.0000206 0.0000617 0.0000206 0.0000206 0.0000411 0.0001440
[176] 0.0000411 0.0001028 0.0000823 0.0000411 0.0001851 0.0000617 0.0000206
[183] 0.0001440 0.0000411 0.0000206 0.0001234 0.0001234 0.0001234 0.0000617
[190] 0.0000617 0.0000411 0.0000411 0.0000411 0.0002057 0.0000411 0.0001234
[197] 0.0000617 0.0000206 0.0001234 0.0001028 0.0000617 0.0002057 0.0001851
[204] 0.0000617 0.0000206 0.0001028 0.0000411 0.0000206 0.0000823 0.0001440
[211] 0.0000823 0.0000823 0.0000206 0.0000411 0.0001851 0.0001440 0.0000411
[218] 0.0000411 0.0002057 0.0000617 0.0000206 0.0001028 0.0001028 0.0000411
[225] 0.0000823 0.0000823 0.0000411 0.0001645 0.0001028 0.0001234 0.0000206
[232] 0.0000617 0.0001234 0.0001028 0.0001234 0.0000411 0.0000617 0.0001645
[239] 0.0000206 0.0000411 0.0001028 0.0000823 0.0001028 0.0002057 0.0000206
[246] 0.0000206 0.0000206 0.0002262 0.0001440 0.0001440 0.0000411 0.0000411
[253] 0.0000823 0.0000206 0.0002057 0.0001645 0.0000823 0.0001028 0.0001028
[260] 0.0000206 0.0000206 0.0002468 0.0000411 0.0000411 0.0001645 0.0000411
[267] 0.0000206 0.0000206 0.0001440 0.0000823 0.0000617 0.0000411 0.0000411
[274] 0.0002468 0.0001028 0.0003291 0.0000617 0.0001234 0.0001440 0.0000823
[281] 0.0001645 0.0000617 0.0001028 0.0000206 0.0000206 0.0000823 0.0001851
[288] 0.0000206 0.0000206 0.0000617 0.0001028 0.0001645 0.0000823 0.0000411
[295] 0.0002468 0.0001440 0.0000206 0.0001028 0.0000206 0.0000823 0.0001234
[302] 0.0001234 0.0000206 0.0000206 0.0000823 0.0000617 0.0000617 0.0000617
[309] 0.0001645 0.0002262 0.0000823 0.0001028 0.0002468 0.0000617 0.0002057
[316] 0.0001440 0.0001234 0.0000411 0.0001234 0.0000617 0.0000206 0.0001645
[323] 0.0001234 0.0000823 0.0000206 0.0002057 0.0001851 0.0000206 0.0002057
[330] 0.0002057 0.0001028 0.0000823 0.0002879 0.0000617 0.0002468 0.0000823
[337] 0.0000823 0.0000206 0.0001440 0.0002674 0.0000823 0.0000823 0.0001645
[344] 0.0001028 0.0000411 0.0000206 0.0002262 0.0002674 0.0000411 0.0000411
[351] 0.0001645 0.0001028 0.0000617 0.0000823 0.0001645 0.0001645 0.0000206
[358] 0.0000206 0.0001440 0.0000823 0.0000411 0.0000617 0.0000617 0.0002262
[365] 0.0001234 0.0000411 0.0000411 0.0001028 0.0001645 0.0000617 0.0000206
[372] 0.0000206 0.0002879 0.0001440 0.0001234 0.0000617 0.0001234 0.0002468
[379] 0.0000617 0.0000206 0.0001645 0.0000617 0.0001234 0.0000617 0.0000206
[386] 0.0001028 0.0001234 0.0000206 0.0000411 0.0000411 0.0002057 0.0000823
[393] 0.0000206 0.0000411 0.0001234 0.0002057 0.0000411 0.0000411 0.0001028
[400] 0.0001234 0.0002262 0.0001440 0.0003085 0.0002879 0.0001028 0.0000206
[407] 0.0003085 0.0000411 0.0000617 0.0000411 0.0002057 0.0001851 0.0001234
[414] 0.0000206 0.0000617 0.0001028 0.0001234 0.0000617 0.0000411 0.0000411
[421] 0.0002468 0.0003291 0.0001028 0.0001028 0.0003085 0.0001440 0.0003085
[428] 0.0002057 0.0001645 0.0000206 0.0002057 0.0001645 0.0000206 0.0000411
[435] 0.0000617 0.0002674 0.0002262 0.0001851 0.0000411 0.0000411 0.0000617
[442] 0.0002879 0.0001028 0.0000206 0.0002468 0.0002262 0.0001645 0.0000206
[449] 0.0001440 0.0003291 0.0000411 0.0000206 0.0000411 0.0000823 0.0000617
[456] 0.0000823 0.0000617 0.0000411 0.0001028 0.0002674 0.0000411 0.0001440
[463] 0.0002674 0.0001851 0.0000823 0.0000411 0.0001645 0.0003497 0.0001234
[470] 0.0000206 0.0000206 0.0001234 0.0000823 0.0000823 0.0000411 0.0002674
[477] 0.0001645 0.0000823 0.0000206 0.0000617 0.0001028 0.0001440 0.0000206
[484] 0.0000823 0.0001028 0.0002262 0.0003085 0.0000823 0.0000411 0.0001028
[491] 0.0002468 0.0002674 0.0000206 0.0000411 0.0003702 0.0001440 0.0000823
[498] 0.0000823 0.0000411 0.0002674 0.0001645 0.0000411 0.0003085 0.0001028
[505] 0.0001645 0.0000411 0.0000823 0.0002262 0.0002674 0.0000206 0.0000617
[512] 0.0001234 0.0003291 0.0002262 0.0001645 0.0000411 0.0000206 0.0002057
[519] 0.0002879 0.0000823 0.0000411 0.0000823 0.0001851 0.0002057 0.0001851
[526] 0.0000206 0.0001028 0.0003497 0.0002057 0.0000617 0.0000823 0.0002468
[533] 0.0001440 0.0001440 0.0000823 0.0000206 0.0002057 0.0003291 0.0000411
[540] 0.0001028 0.0002057 0.0001645 0.0001645 0.0000411 0.0000411 0.0001645
[547] 0.0004114 0.0001851 0.0000206 0.0000206 0.0001645 0.0002879 0.0000823
[554] 0.0000823 0.0000411 0.0003085 0.0002879 0.0001645 0.0000206 0.0000823
[561] 0.0000617 0.0002262 0.0000411 0.0000617 0.0001028 0.0001234 0.0002674
[568] 0.0000823 0.0000823 0.0001645 0.0003497 0.0000823 0.0000206 0.0002879
[575] 0.0002468 0.0001851 0.0000411 0.0000206 0.0002262 0.0003908 0.0000411
[582] 0.0000617 0.0000617 0.0000206 0.0002674 0.0000617 0.0000823 0.0000411
[589] 0.0000823 0.0001645 0.0002879 0.0001440 0.0000411 0.0001645 0.0002057
[596] 0.0003085 0.0002262 0.0000411 0.0003702 0.0004731 0.0001440 0.0000823
[603] 0.0002468 0.0001440 0.0000617 0.0000206 0.0000206 0.0001440 0.0002674
[610] 0.0001851 0.0000617 0.0001234 0.0003085 0.0002057 0.0000823 0.0000823
[617] 0.0001440 0.0003497 0.0004731 0.0001851 0.0001851 0.0000823 0.0003702
[624] 0.0002057 0.0000823 0.0000411 0.0002879 0.0002468 0.0002057 0.0000206
[631] 0.0001234 0.0001234 0.0002674 0.0000411 0.0000823 0.0000823 0.0002262
[638] 0.0002262 0.0001851 0.0001028 0.0001440 0.0001645 0.0004319 0.0001234
[645] 0.0001234 0.0001645 0.0002879 0.0002879 0.0001645 0.0002262 0.0002674
[652] 0.0000823 0.0000823 0.0000411 0.0000206 0.0001645 0.0001645 0.0002262
[659] 0.0000823 0.0000411 0.0002057 0.0003908 0.0000823 0.0000823 0.0002057
[666] 0.0003291 0.0002262 0.0001440 0.0000823 0.0000411 0.0002674 0.0004525
[673] 0.0001851 0.0001028 0.0002468 0.0002262 0.0001028 0.0000206 0.0002879
[680] 0.0003702 0.0001645 0.0000206 0.0000823 0.0000206 0.0001645 0.0003291
[687] 0.0001645 0.0001234 0.0001028 0.0004114 0.0004525 0.0002262 0.0000206
[694] 0.0000823 0.0002674 0.0003497 0.0000206 0.0000411 0.0001234 0.0003497
[701] 0.0003291 0.0002057 0.0001028 0.0000617 0.0004319 0.0002262 0.0000617
[708] 0.0000411 0.0000206 0.0003085 0.0003085 0.0002879 0.0000617 0.0001028
[715] 0.0002674 0.0005348 0.0001028 0.0000206 0.0001440 0.0000206 0.0002879
[722] 0.0001851 0.0001851 0.0000823 0.0001028 0.0002057 0.0003702 0.0000617
[729] 0.0000617 0.0002262 0.0003497 0.0003291 0.0002468 0.0000411 0.0000617
[736] 0.0001234 0.0005142 0.0002262 0.0001028 0.0001645 0.0002468 0.0002468
[743] 0.0001851 0.0001234 0.0000823 0.0000206 0.0002468 0.0004114 0.0000823
[750] 0.0000411 0.0002468 0.0001028 0.0001645 0.0001440 0.0001440 0.0001234
[757] 0.0002879 0.0005553 0.0002468 0.0000617 0.0002057 0.0002879 0.0004114
[764] 0.0000823 0.0000823 0.0000411 0.0000206 0.0003291 0.0003085 0.0000617
[771] 0.0000617 0.0001234 0.0001028 0.0002674 0.0001234 0.0001645 0.0001645
[778] 0.0003291 0.0003085 0.0002057 0.0000206 0.0001851 0.0002674 0.0005965
[785] 0.0001028 0.0000823 0.0001645 0.0000206 0.0003291 0.0003702 0.0002879
[792] 0.0000411 0.0002468 0.0003497 0.0001440 0.0000411 0.0000823 0.0000206
[799] 0.0003497 0.0001851 0.0001440 0.0000823 0.0001440 0.0001851 0.0005759
[806] 0.0002468 0.0001028 0.0002879 0.0003497 0.0003497 0.0003085 0.0000823
[813] 0.0000206 0.0002879 0.0005348 0.0001645 0.0001440 0.0003497 0.0003497
[820] 0.0002262 0.0000823 0.0000206 0.0000206 0.0002057 0.0005759 0.0002674
[827] 0.0001234 0.0001851 0.0002057 0.0003291 0.0001440 0.0001645 0.0002468
[834] 0.0000206 0.0003908 0.0005553 0.0003085 0.0001645 0.0001440 0.0003702
[841] 0.0001645 0.0001028 0.0000823 0.0002057 0.0003702 0.0001645 0.0000206
[848] 0.0001234 0.0000206 0.0001645 0.0004731 0.0001028 0.0001234 0.0001234
[855] 0.0000617 0.0002468 0.0003702 0.0002262 0.0001851 0.0002057 0.0002057
[862] 0.0006376 0.0001440 0.0001440 0.0002057 0.0003702 0.0003291 0.0002262
[869] 0.0001234 0.0002468 0.0004114 0.0001028 0.0000617 0.0002468 0.0000411
[876] 0.0001234 0.0003291 0.0003085 0.0000823 0.0000617 0.0000411 0.0002468
[883] 0.0005142 0.0001851 0.0001028 0.0002262 0.0003291 0.0003497 0.0001234
[890] 0.0000823 0.0001234 0.0003291 0.0006787 0.0001851 0.0000823 0.0002468
[897] 0.0002674 0.0002674 0.0001645 0.0001028 0.0001234 0.0000206 0.0002879
[904] 0.0006170 0.0003497 0.0002468 0.0001645 0.0004731 0.0002879 0.0001440
[911] 0.0001234 0.0000206 0.0004525 0.0005142 0.0002879 0.0000617 0.0001440
[918] 0.0002057 0.0004114 0.0000617 0.0000823 0.0002057 0.0002879 0.0003497
[925] 0.0003702 0.0001028 0.0002262 0.0001440 0.0006787 0.0002468 0.0001645
[932] 0.0002262 0.0003085 0.0005142 0.0002468 0.0000823 0.0001028 0.0000206
[939] 0.0002262 0.0005759 0.0002057 0.0001028 0.0001851 0.0000206 0.0003291
[946] 0.0002879 0.0004319 0.0001234 0.0001851 0.0002057 0.0006170 0.0000823
[953] 0.0001234 0.0003291 0.0000206 0.0003702 0.0004319 0.0002468 0.0001440
[960] 0.0000411 0.0000411 0.0001851 0.0006170 0.0002057 0.0001028 0.0002057
[967] 0.0000206 0.0002262 0.0003497 0.0001440 0.0001028 0.0000617 0.0000617
[974] 0.0002262 0.0005965 0.0002057 0.0000617 0.0003085 0.0000411 0.0001645
[981] 0.0003702 0.0002262 0.0001645 0.0002879 0.0004319 0.0006170 0.0003291
[988] 0.0000411 0.0001645 0.0000206 0.0003291 0.0004525 0.0001645 0.0001028
[995] 0.0000411 0.0000617 0.0003908 0.0004114 0.0002468 0.0000411 0.0001440
[1002] 0.0001234 0.0005348 0.0002262 0.0001851 0.0002262 0.0000411 0.0003497
[1009] 0.0003908 0.0002879 0.0001028 0.0003085 0.0002468 0.0007199 0.0002057
[1016] 0.0000206 0.0002879 0.0003497 0.0004525 0.0004525 0.0000411 0.0001028
[1023] 0.0002674 0.0005965 0.0001645 0.0000823 0.0002879 0.0000411 0.0004114
[1030] 0.0004319 0.0003085 0.0001440 0.0001440 0.0000411 0.0001645 0.0006170
[1037] 0.0002879 0.0002057 0.0003497 0.0003497 0.0004319 0.0003908 0.0002057
[1044] 0.0001851 0.0002879 0.0008433 0.0002262 0.0000206 0.0003497 0.0000206
[1051] 0.0002057 0.0003085 0.0001851 0.0001851 0.0001234 0.0000617 0.0001645
[1058] 0.0006993 0.0003291 0.0001440 0.0003291 0.0002674 0.0004731 0.0002262
[1065] 0.0002057 0.0002468 0.0000206 0.0003702 0.0006376 0.0002879 0.0001234
[1072] 0.0002468 0.0002262 0.0004936 0.0002262 0.0002674 0.0001645 0.0000206
[1079] 0.0003497 0.0003497 0.0002468 0.0000206 0.0002057 0.0000617 0.0001645
[1086] 0.0005965 0.0001851 0.0001645 0.0002879 0.0000823 0.0002262 0.0005759
[1093] 0.0003702 0.0001645 0.0002468 0.0003085 0.0007816 0.0001440 0.0001440
[1100] 0.0002262 0.0000411 0.0004731 0.0003908 0.0001645 0.0000411 0.0001851
[1107] 0.0002262 0.0005142 0.0002879 0.0000823 0.0003497 0.0000411 0.0002674
[1114] 0.0004525 0.0003702 0.0001440 0.0001234 0.0000411 0.0002262 0.0008227
[1121] 0.0002468 0.0001440 0.0003497 0.0000617 0.0003908 0.0004525 0.0002674
[1128] 0.0001234 0.0001234 0.0000411 0.0003702 0.0005759 0.0003291 0.0001234
[1135] 0.0003702 0.0002674 0.0004114 0.0001645 0.0001851 0.0003085 0.0000206
[1142] 0.0003497 0.0008227 0.0003908 0.0000823 0.0002674 0.0002262 0.0005759
[1149] 0.0002879 0.0002468 0.0001440 0.0000411 0.0003291 0.0005553 0.0003497
[1156] 0.0000823 0.0002674 0.0000411 0.0002262 0.0005142 0.0002057 0.0001851
[1163] 0.0003702 0.0000411 0.0003085 0.0004525 0.0003291 0.0002057 0.0003497
[1170] 0.0002468 0.0007199 0.0002262 0.0002468 0.0003702 0.0000411 0.0004936
[1177] 0.0005553 0.0003908 0.0001028 0.0002262 0.0000411 0.0002057 0.0006787
[1184] 0.0001440 0.0001851 0.0003497 0.0000617 0.0001440 0.0004731 0.0003908
[1191] 0.0002262 0.0002674 0.0002674 0.0006376 0.0001851 0.0001440 0.0004731
[1198] 0.0000206 0.0003085 0.0005142 0.0002468 0.0001645 0.0001851 0.0000411
[1205] 0.0002468 0.0008433 0.0002674 0.0002057 0.0003702 0.0000206 0.0003085
[1212] 0.0003291 0.0001645 0.0001645 0.0001645 0.0001028 0.0002674 0.0007199
[1219] 0.0002674 0.0001234 0.0003908 0.0000411 0.0001234 0.0005142 0.0003497
[1226] 0.0002674 0.0003085 0.0004319 0.0006993 0.0004936 0.0000617 0.0003085
[1233] 0.0002468 0.0005965 0.0001645 0.0001028 0.0002468 0.0000411 0.0003908
[1240] 0.0005348 0.0002674 0.0001440 0.0001851 0.0000411 0.0001645 0.0006787
[1247] 0.0002674 0.0002262 0.0002879 0.0000411 0.0003085 0.0005965 0.0004525
[1254] 0.0001440 0.0004319 0.0002468 0.0008433 0.0003085 0.0001645 0.0004114
[1261] 0.0000411 0.0004319 0.0005348 0.0004114 0.0002057 0.0002468 0.0001645
[1268] 0.0006376 0.0001234 0.0001028 0.0003702 0.0000617 0.0003085 0.0005142
[1275] 0.0004525 0.0001440 0.0002674 0.0000823 0.0001851 0.0009667 0.0003291
[1282] 0.0002879 0.0005965 0.0003291 0.0005759 0.0002879 0.0002879 0.0001645
[1289] 0.0000411 0.0003085 0.0006376 0.0001851 0.0001234 0.0004114 0.0000411
[1296] 0.0001851 0.0003291 0.0002879 0.0001851 0.0003085 0.0001028 0.0001645
[1303] 0.0008227 0.0003291 0.0001851 0.0004525 0.0000617 0.0002674 0.0005965
[1310] 0.0002674 0.0003497 0.0002879 0.0001028 0.0003908 0.0006787 0.0003291
[1317] 0.0000823 0.0003291 0.0002879 0.0005348 0.0002674 0.0002262 0.0003497
[1324] 0.0000617 0.0003291 0.0004731 0.0003085 0.0001028 0.0003908 0.0000617
[1331] 0.0001851 0.0006993 0.0002879 0.0002057 0.0004319 0.0000823 0.0003291
[1338] 0.0006582 0.0004525 0.0001851 0.0002879 0.0002674 0.0008021 0.0001851
[1345] 0.0001440 0.0003497 0.0000411 0.0002674 0.0004731 0.0003291 0.0001234
[1352] 0.0003497 0.0001645 0.0006170 0.0003291 0.0002468 0.0005553 0.0000411
[1359] 0.0004525 0.0005965 0.0004525 0.0002674 0.0002468 0.0000411 0.0002879
[1366] 0.0010490 0.0003291 0.0000823 0.0004525 0.0000411 0.0002468 0.0004319
[1373] 0.0003702 0.0001851 0.0002057 0.0000823 0.0002262 0.0007610 0.0004114
[1380] 0.0002262 0.0005553 0.0003291 0.0005142 0.0002468 0.0002879 0.0003908
[1387] 0.0000411 0.0002879 0.0008433 0.0003497 0.0001851 0.0004319 0.0000206
[1394] 0.0002057 0.0006376 0.0003702 0.0003497 0.0003702 0.0000617 0.0003291
[1401] 0.0006787 0.0003702 0.0000617 0.0003702 0.0001028 0.0002057 0.0006582
[1408] 0.0002468 0.0003291 0.0003085 0.0001440 0.0002674 0.0006582 0.0005142
[1415] 0.0002468 0.0005348 0.0002674 0.0007610 0.0002674 0.0002674 0.0004525
[1422] 0.0000823 0.0003085 0.0006170 0.0002262 0.0001645 0.0003085 0.0000823
[1429] 0.0001851 0.0007199 0.0002057 0.0002674 0.0004114 0.0000823 0.0002057
[1436] 0.0005142 0.0003702 0.0001645 0.0003497 0.0000823 0.0002262 0.0008227
[1443] 0.0002674 0.0002468 0.0007199 0.0001028 0.0003085 0.0005965 0.0003908
[1450] 0.0001645 0.0002262 0.0000411 0.0003291 0.0006993 0.0003497 0.0001851
[1457] 0.0003908 0.0000206 0.0003702 0.0003702 0.0001851 0.0002262 0.0003085
[1464] 0.0001234 0.0002674 0.0008638 0.0003702 0.0001645 0.0006170 0.0000617
[1471] 0.0001851 0.0005965 0.0003908 0.0003702 0.0004525 0.0000206 0.0003085
[1478] 0.0008021 0.0004731 0.0001440 0.0004114 0.0003085 0.0006582 0.0002057
[1485] 0.0001645 0.0003702 0.0000617 0.0003908 0.0005965 0.0003085 0.0002057
[1492] 0.0004936 0.0000617 0.0001645 0.0007199 0.0003085 0.0004114 0.0005965
[1499] 0.0000617 0.0003908 0.0007404 0.0005965 0.0002674 0.0004114 0.0000411
[1506] 0.0002674 0.0008021 0.0002468 0.0002674 0.0004114 0.0000617 0.0003497
[1513] 0.0004731 0.0004319 0.0002468 0.0004114 0.0000206 0.0001851 0.0006376
[1520] 0.0001851 0.0002468 0.0006787 0.0001440 0.0002057 0.0006170 0.0003908
[1527] 0.0003291 0.0003702 0.0001440 0.0001440 0.0010901 0.0003085 0.0003291
[1534] 0.0005965 0.0000206 0.0003702 0.0005553 0.0003085 0.0002262 0.0002057
[1541] 0.0000617 0.0002468 0.0006993 0.0002468 0.0001851 0.0006582 0.0000823
[1548] 0.0001851 0.0003908 0.0004114 0.0003908 0.0004114 0.0001440 0.0002879
[1555] 0.0008021 0.0004114 0.0001851 0.0005142 0.0000617 0.0001851 0.0007199
[1562] 0.0002468 0.0002468 0.0003908 0.0001440 0.0002674 0.0008638 0.0003497
[1569] 0.0001440 0.0004936 0.0000206 0.0001440 0.0005965 0.0002674 0.0003291
[1576] 0.0004319 0.0000823 0.0002879 0.0006787 0.0003085 0.0001645 0.0005965
[1583] 0.0000411 0.0001851 0.0008433 0.0003291 0.0002468 0.0004731 0.0000823
[1590] 0.0003702 0.0006170 0.0004731 0.0002262 0.0003497 0.0000617 0.0001851
[1597] 0.0007610 0.0001645 0.0002262 0.0005142 0.0001440 0.0003085 0.0005759
[1604] 0.0004936 0.0002674 0.0003908 0.0000823 0.0001645 0.0008227 0.0003291
[1611] 0.0003497 0.0007816 0.0003291 0.0006376 0.0004114 0.0003085 0.0003702
[1618] 0.0000823 0.0002262 0.0009461 0.0003085 0.0001645 0.0006582 0.0000823
[1625] 0.0003085 0.0004525 0.0004114 0.0002879 0.0003497 0.0000823 0.0001440
[1632] 0.0009461 0.0003497 0.0002262 0.0006582 0.0000411 0.0003085 0.0004936
[1639] 0.0003497 0.0004114 0.0005142 0.0001851 0.0002674 0.0008844 0.0003291
[1646] 0.0002262 0.0006170 0.0000206 0.0002262 0.0006582 0.0002674 0.0004936
[1653] 0.0004319 0.0000823 0.0003085 0.0006787 0.0003291 0.0001440 0.0005759
[1660] 0.0001028 0.0000823 0.0007610 0.0003085 0.0002468 0.0006787 0.0002057
[1667] 0.0001645 0.0006993 0.0004936 0.0002468 0.0005759 0.0000617 0.0002057
[1674] 0.0006787 0.0003085 0.0003497 0.0004319 0.0001028 0.0003085 0.0005348
[1681] 0.0002674 0.0001851 0.0003702 0.0000411 0.0001851 0.0007199 0.0002057
[1688] 0.0003291 0.0005965 0.0001851 0.0002468 0.0005553 0.0004114 0.0003497
[1695] 0.0004319 0.0000823 0.0001440 0.0009461 0.0004114 0.0002468 0.0007404
[1702] 0.0000617 0.0002468 0.0006170 0.0005553 0.0002057 0.0002879 0.0000617
[1709] 0.0002468 0.0008227 0.0003497 0.0001851 0.0006582 0.0000411 0.0002468
[1716] 0.0004319 0.0002674 0.0002057 0.0004114 0.0001851 0.0001851 0.0008021
[1723] 0.0004319 0.0002468 0.0006582 0.0000617 0.0002262 0.0007404 0.0003702
[1730] 0.0004936 0.0004936 0.0000411 0.0003085 0.0011107 0.0004114 0.0001440
[1737] 0.0005348 0.0000617 0.0001234 0.0005759 0.0003085 0.0003291 0.0005142
[1744] 0.0001851 0.0002468 0.0006170 0.0005142 0.0002468 0.0007610 0.0001234
[1751] 0.0001645 0.0008433 0.0003085 0.0004114 0.0005965 0.0001234 0.0002674
[1758] 0.0008021 0.0004731 0.0002674 0.0004319 0.0001028 0.0002057 0.0008433
[1765] 0.0002879 0.0003085 0.0005348 0.0001440 0.0002057 0.0005142 0.0004525
[1772] 0.0002468 0.0004525 0.0001440 0.0001645 0.0006787 0.0001645 0.0004114
[1779] 0.0007816 0.0001851 0.0001645 0.0006170 0.0004731 0.0002879 0.0004731
[1786] 0.0001028 0.0001645 0.0009872 0.0003497 0.0002674 0.0007610 0.0001028
[1793] 0.0003702 0.0005759 0.0002674 0.0002468 0.0003497 0.0002262 0.0001851
[1800] 0.0008638 0.0004114 0.0002262 0.0005965 0.0000617 0.0001440 0.0003908
[1807] 0.0003497 0.0003702 0.0005142 0.0001234 0.0002674 0.0008227 0.0003497
[1814] 0.0002468 0.0007816 0.0001234 0.0001645 0.0007199 0.0002674 0.0002674
[1821] 0.0004936 0.0001851 0.0002674 0.0006170 0.0003908 0.0002057 0.0005142
[1828] 0.0000617 0.0001440 0.0006993 0.0002468 0.0003497 0.0006582 0.0000823
[1835] 0.0003291 0.0007610 0.0004525 0.0002674 0.0006582 0.0000617 0.0001851
[1842] 0.0007610 0.0003085 0.0004319 0.0005553 0.0001234 0.0003291 0.0005553
[1849] 0.0005553 0.0003085 0.0004936 0.0001028 0.0002057 0.0007610 0.0002262
[1856] 0.0001851 0.0006582 0.0002057 0.0002057 0.0005348 0.0003908 0.0003085
[1863] 0.0004936 0.0001645 0.0000823 0.0008638 0.0003291 0.0004114 0.0009050
[1870] 0.0000617 0.0003702 0.0006170 0.0005553 0.0003497 0.0004114 0.0001234
[1877] 0.0002262 0.0008844 0.0002262 0.0003085 0.0008021 0.0001234 0.0001645
[1884] 0.0005348 0.0003497 0.0004525 0.0004114 0.0002057 0.0001851 0.0007816
[1891] 0.0004114 0.0002468 0.0008021 0.0001234 0.0001440 0.0005553 0.0004319
[1898] 0.0004114 0.0005759 0.0002674 0.0001851 0.0010490 0.0004319 0.0002674
[1905] 0.0005759 0.0000823 0.0001851 0.0005142 0.0002057 0.0004731 0.0005142
[1912] 0.0001440 0.0002057 0.0005348 0.0001645 0.0001645 0.0007610 0.0001851
[1919] 0.0000823 0.0007404 0.0003085 0.0003908 0.0006582 0.0002262 0.0002057
[1926] 0.0008021 0.0005142 0.0003085 0.0005759 0.0000411 0.0001440 0.0008638
[1933] 0.0002879 0.0002674 0.0005142 0.0001645 0.0002468 0.0005142 0.0004114
[1940] 0.0002674 0.0004731 0.0001440 0.0001234 0.0005348 0.0002262 0.0003497
[1947] 0.0007404 0.0001851 0.0002468 0.0005553 0.0003497 0.0003702 0.0005965
[1954] 0.0001028 0.0001645 0.0010078 0.0003702 0.0003085 0.0008021 0.0001234
[1961] 0.0002879 0.0006170 0.0003497 0.0002674 0.0003908 0.0001234 0.0001440
[1968] 0.0008021 0.0002879 0.0002468 0.0007404 0.0000823 0.0002262 0.0004114
[1975] 0.0004114 0.0003702 0.0005965 0.0002057 0.0001645 0.0008844 0.0004114
[1982] 0.0003497 0.0009255 0.0000823 0.0002262 0.0007199 0.0002879 0.0005348
[1989] 0.0005553 0.0001645 0.0003291 0.0007199 0.0003702 0.0001851 0.0005553
[1996] 0.0001645 0.0001028 0.0005348 0.0002879 0.0003908 0.0006170 0.0002057
[2003] 0.0000617 0.0006787 0.0004114 0.0003291 0.0008433 0.0001234 0.0001234
[2010] 0.0007199 0.0003085 0.0004936 0.0007199 0.0002262 0.0002057 0.0006582
[2017] 0.0003291 0.0002468 0.0006376 0.0001028 0.0001645 0.0007199 0.0003085
[2024] 0.0003702 0.0006376 0.0002262 0.0002057 0.0005553 0.0003908 0.0003085
[2031] 0.0005348 0.0001234 0.0001028 0.0006787 0.0002262 0.0004319 0.0009050
[2038] 0.0002468 0.0001440 0.0006170 0.0004936 0.0003702 0.0004936 0.0001851
[2045] 0.0001645 0.0007199 0.0002879 0.0003291 0.0008638 0.0000823 0.0001440
[2052] 0.0004731 0.0001851 0.0001851 0.0004731 0.0001440 0.0000823 0.0008638
[2059] 0.0003291 0.0002879 0.0007199 0.0001645 0.0001851 0.0004936 0.0003702
[2066] 0.0004936 0.0006170 0.0001440 0.0002468 0.0009050 0.0004319 0.0002262
[2073] 0.0006787 0.0001028 0.0001234 0.0005348 0.0003085 0.0003908 0.0005553
[2080] 0.0002057 0.0002262 0.0006376 0.0003702 0.0003085 0.0007199 0.0001645
[2087] 0.0001028 0.0006376 0.0002468 0.0003291 0.0006582 0.0002057 0.0002262
[2094] 0.0007199 0.0004936 0.0003085 0.0007199 0.0001234 0.0001234 0.0008433
[2101] 0.0003291 0.0004114 0.0006787 0.0000617 0.0002057 0.0006170 0.0003908
[2108] 0.0002879 0.0005348 0.0001028 0.0001645 0.0005553 0.0001851 0.0003702
[2115] 0.0007199 0.0003291 0.0001645 0.0005553 0.0005348 0.0002879 0.0007199
[2122] 0.0002262 0.0000823 0.0009255 0.0003497 0.0004114 0.0008844 0.0001645
[2129] 0.0002057 0.0005965 0.0003702 0.0004114 0.0004114 0.0002262 0.0000823
[2136] 0.0007404 0.0002468 0.0002879 0.0008021 0.0001440 0.0001234 0.0003908
[2143] 0.0002674 0.0003497 0.0006170 0.0002879 0.0001234 0.0008021 0.0003085
[2150] 0.0003702 0.0010078 0.0001645 0.0001028 0.0005965 0.0003702 0.0003497
[2157] 0.0005553 0.0002468 0.0001851 0.0007404 0.0003497 0.0002262 0.0005348
[2164] 0.0001234 0.0001440 0.0004731 0.0002674 0.0004114 0.0005142 0.0002468
[2171] 0.0001645 0.0005142 0.0002674 0.0002879 0.0008638 0.0001440 0.0000411
[2178] 0.0005759 0.0003085 0.0005142 0.0008021 0.0002057 0.0002262 0.0006582
[2185] 0.0003908 0.0003085 0.0007404 0.0000823 0.0001851 0.0007610 0.0001645
[2192] 0.0001645 0.0005348 0.0002057 0.0001440 0.0005142 0.0004731 0.0002057
[2199] 0.0005142 0.0001851 0.0000823 0.0005759 0.0002674 0.0004319 0.0010490
[2206] 0.0001851 0.0002674 0.0005759 0.0004114 0.0004319 0.0005553 0.0001440
[2213] 0.0001234 0.0008021 0.0002468 0.0004114 0.0007816 0.0001851 0.0002057
[2220] 0.0004114 0.0004525 0.0003497 0.0005348 0.0001645 0.0001234 0.0008021
[2227] 0.0003085 0.0002262 0.0008844 0.0002262 0.0001234 0.0004114 0.0003497
[2234] 0.0005553 0.0006170 0.0003702 0.0000617 0.0009050 0.0004114 0.0003291
[2241] 0.0008638 0.0000823 0.0001645 0.0004936 0.0003085 0.0003908 0.0005348
[2248] 0.0002057 0.0002057 0.0006582 0.0001851 0.0002262 0.0007610 0.0002057
[2255] 0.0001028 0.0004936 0.0003085 0.0005553 0.0005553 0.0003291 0.0001234
[2262] 0.0005553 0.0004319 0.0003085 0.0007610 0.0001851 0.0000617 0.0006582
[2269] 0.0002674 0.0004525 0.0007610 0.0003291 0.0000823 0.0006582 0.0003497
[2276] 0.0002468 0.0006993 0.0001440 0.0000617 0.0005142 0.0002057 0.0003908
[2283] 0.0006170 0.0002674 0.0001851 0.0004936 0.0002674 0.0002674 0.0007199
[2290] 0.0001645 0.0001234 0.0007816 0.0002468 0.0003497 0.0008227 0.0002674
[2297] 0.0001234 0.0005142 0.0003702 0.0003497 0.0003908 0.0001440 0.0000617
[2304] 0.0005965 0.0002262 0.0004114 0.0008638 0.0001851 0.0002262 0.0003497
[2311] 0.0002468 0.0002674 0.0005759 0.0003702 0.0001028 0.0007610 0.0002674
[2318] 0.0003497 0.0009872 0.0001645 0.0001028 0.0004731 0.0002879 0.0004731
[2325] 0.0006170 0.0001645 0.0001851 0.0007816 0.0004114 0.0001645 0.0006787
[2332] 0.0001645 0.0001440 0.0004525 0.0002468 0.0004525 0.0005142 0.0002057
[2339] 0.0001440 0.0005348 0.0003085 0.0002879 0.0008433 0.0002057 0.0001028
[2346] 0.0004319 0.0002674 0.0004731 0.0008021 0.0002674 0.0001234 0.0005965
[2353] 0.0004114 0.0003085 0.0008433 0.0001645 0.0001234 0.0007610 0.0002468
[2360] 0.0005142 0.0006170 0.0002468 0.0001851 0.0005142 0.0003291 0.0003085
[2367] 0.0005759 0.0001234 0.0000617 0.0005348 0.0001440 0.0004114 0.0011107
[2374] 0.0003085 0.0000411 0.0004936 0.0004936 0.0003702 0.0007404 0.0002262
[2381] 0.0000617 0.0006582 0.0002468 0.0004319 0.0008021 0.0001851 0.0001851
[2388] 0.0004114 0.0002057 0.0002674 0.0004319 0.0002468 0.0000411 0.0006582
[2395] 0.0001851 0.0003497 0.0008227 0.0002468 0.0000617 0.0002879 0.0002057
[2402] 0.0005553 0.0006170 0.0002468 0.0000617 0.0007404 0.0002468 0.0004114
[2409] 0.0009461 0.0001440 0.0000823 0.0004319 0.0003497 0.0004114 0.0005553
[2416] 0.0002468 0.0001851 0.0005965 0.0003291 0.0002057 0.0007199 0.0001851
[2423] 0.0000411 0.0003702 0.0001851 0.0002674 0.0005348 0.0003085 0.0001028
[2430] 0.0004319 0.0003497 0.0003085 0.0006787 0.0002057 0.0000617 0.0005759
[2437] 0.0002468 0.0004936 0.0006993 0.0001645 0.0002057 0.0006787 0.0002468
[2444] 0.0003085 0.0007610 0.0000823 0.0001028 0.0005759 0.0001440 0.0003291
[2451] 0.0006787 0.0003085 0.0000823 0.0004319 0.0004936 0.0002674 0.0006582
[2458] 0.0002262 0.0000206 0.0006170 0.0002262 0.0003291 0.0008844 0.0002674
[2465] 0.0001851 0.0005142 0.0004114 0.0003497 0.0004936 0.0003085 0.0000411
[2472] 0.0006582 0.0002262 0.0003497 0.0009461 0.0001440 0.0000823 0.0003497
[2479] 0.0002879 0.0004114 0.0004525 0.0003085 0.0000823 0.0006582 0.0001645
[2486] 0.0003085 0.0009461 0.0002262 0.0000823 0.0003702 0.0003085 0.0004114
[2493] 0.0006376 0.0003291 0.0007816 0.0003497 0.0003291 0.0008227 0.0001645
[2500] 0.0000823 0.0003908 0.0002674 0.0004936 0.0005759 0.0003085 0.0001440
[2507] 0.0005142 0.0002262 0.0001645 0.0007610 0.0001851 0.0000617 0.0003497
[2514] 0.0002262 0.0004731 0.0006170 0.0003702 0.0000823 0.0004731 0.0002468
[2521] 0.0003291 0.0008433 0.0001851 0.0000411 0.0005965 0.0001645 0.0003085
[2528] 0.0006787 0.0002879 0.0000823 0.0004319 0.0003291 0.0002674 0.0005965
[2535] 0.0001440 0.0000206 0.0004936 0.0001440 0.0003497 0.0008638 0.0002674
[2542] 0.0001440 0.0003908 0.0002468 0.0002468 0.0007199 0.0001851 0.0000617
[2549] 0.0005142 0.0001851 0.0004114 0.0008021 0.0002879 0.0001440 0.0004114
[2556] 0.0003908 0.0004114 0.0003908 0.0001851 0.0000823 0.0006582 0.0001851
[2563] 0.0002468 0.0006993 0.0002468 0.0000617 0.0002057 0.0002262 0.0003085
[2570] 0.0005553 0.0003702 0.0000206 0.0005965 0.0003291 0.0003085 0.0010901
[2577] 0.0001440 0.0001440 0.0003702 0.0003291 0.0003908 0.0006170 0.0002057
[2584] 0.0001440 0.0006787 0.0002468 0.0001851 0.0006376 0.0001851 0.0000206
[2591] 0.0004114 0.0002468 0.0004319 0.0004731 0.0003497 0.0000617 0.0004114
[2598] 0.0002674 0.0002468 0.0008021 0.0002674 0.0000411 0.0004114 0.0002674
[2605] 0.0005965 0.0007404 0.0003908 0.0000617 0.0005965 0.0004114 0.0003085
[2612] 0.0007199 0.0001645 0.0000617 0.0004936 0.0002057 0.0003085 0.0005965
[2619] 0.0003908 0.0000617 0.0003702 0.0001645 0.0002057 0.0006582 0.0003085
[2626] 0.0004114 0.0001440 0.0004731 0.0008021 0.0003085 0.0000206 0.0004525
[2633] 0.0003702 0.0003908 0.0005965 0.0001851 0.0000617 0.0006170 0.0001645
[2640] 0.0003702 0.0008638 0.0002674 0.0001234 0.0003085 0.0002262 0.0001851
[2647] 0.0003702 0.0003702 0.0000206 0.0003908 0.0001851 0.0003497 0.0006993
[2654] 0.0003291 0.0000411 0.0002262 0.0001645 0.0003908 0.0005965 0.0003085
[2661] 0.0001028 0.0007199 0.0002468 0.0002674 0.0008227 0.0002262 0.0000823
[2668] 0.0003497 0.0001645 0.0003702 0.0005142 0.0002057 0.0000823 0.0004114
[2675] 0.0002674 0.0002057 0.0007199 0.0001851 0.0000823 0.0003085 0.0001645
[2682] 0.0002262 0.0006170 0.0003085 0.0000823 0.0004525 0.0002674 0.0002674
[2689] 0.0007610 0.0002674 0.0005348 0.0002468 0.0005142 0.0006582 0.0002674
[2696] 0.0001440 0.0003085 0.0003291 0.0002468 0.0006582 0.0002057 0.0001028
[2703] 0.0003702 0.0000617 0.0003702 0.0006787 0.0003291 0.0000617 0.0003702
[2710] 0.0003497 0.0003702 0.0006376 0.0002057 0.0000206 0.0004319 0.0001851
[2717] 0.0003497 0.0008433 0.0002879 0.0000411 0.0003908 0.0002879 0.0002468
[2724] 0.0005142 0.0003291 0.0005553 0.0002262 0.0004114 0.0007610 0.0002262
[2731] 0.0000823 0.0002057 0.0001851 0.0003702 0.0004319 0.0002468 0.0000411
[2738] 0.0004525 0.0000823 0.0003291 0.0010490 0.0002879 0.0000411 0.0002468
[2745] 0.0002674 0.0004525 0.0005965 0.0004525 0.0000411 0.0005553 0.0002468
[2752] 0.0003291 0.0006170 0.0001645 0.0003497 0.0001234 0.0003291 0.0004731
[2759] 0.0002674 0.0000411 0.0003497 0.0001440 0.0001851 0.0008021 0.0002674
[2766] 0.0002879 0.0001851 0.0004525 0.0006582 0.0003291 0.0000823 0.0004319
[2773] 0.0002057 0.0002879 0.0006993 0.0001851 0.0000617 0.0003908 0.0001028
[2780] 0.0003085 0.0004731 0.0003291 0.0000617 0.0003497 0.0002262 0.0002674
[2787] 0.0005348 0.0002879 0.0003291 0.0000823 0.0003291 0.0006787 0.0003908
[2794] 0.0001028 0.0002879 0.0003497 0.0002674 0.0005965 0.0002674 0.0000617
[2801] 0.0004525 0.0001851 0.0003291 0.0008227 0.0001645 0.0001028 0.0003085
[2808] 0.0001851 0.0002879 0.0003291 0.0001851 0.0000411 0.0004114 0.0001234
[2815] 0.0001851 0.0006376 0.0003085 0.0000411 0.0001645 0.0002879 0.0002879
[2822] 0.0005759 0.0003291 0.0005965 0.0002879 0.0003291 0.0009667 0.0001851
[2829] 0.0000823 0.0002674 0.0001440 0.0004525 0.0005142 0.0003085 0.0000617
[2836] 0.0003702 0.0001028 0.0001234 0.0006376 0.0001645 0.0002468 0.0002057
[2843] 0.0004114 0.0005348 0.0004319 0.0000411 0.0004114 0.0001645 0.0003085
[2850] 0.0008433 0.0002468 0.0004319 0.0001440 0.0004525 0.0005965 0.0003085
[2857] 0.0000411 0.0002879 0.0002262 0.0002674 0.0006787 0.0001645 0.0000411
[2864] 0.0001851 0.0001440 0.0002674 0.0005348 0.0003908 0.0000411 0.0002468
[2871] 0.0001028 0.0001645 0.0005965 0.0002468 0.0003085 0.0000617 0.0004936
[2878] 0.0006993 0.0004319 0.0003085 0.0002674 0.0003497 0.0005142 0.0001234
[2885] 0.0000411 0.0003908 0.0001234 0.0002674 0.0007199 0.0002674 0.0001028
[2892] 0.0001645 0.0001645 0.0001645 0.0003291 0.0003085 0.0000206 0.0003702
[2899] 0.0002057 0.0002674 0.0008433 0.0002468 0.0000411 0.0001851 0.0001645
[2906] 0.0002468 0.0005142 0.0003085 0.0000206 0.0004731 0.0001440 0.0001851
[2913] 0.0006376 0.0002674 0.0002674 0.0002262 0.0003908 0.0004731 0.0001440
[2920] 0.0000617 0.0003497 0.0001851 0.0001440 0.0006787 0.0002057 0.0000411
[2927] 0.0002262 0.0001028 0.0003908 0.0005553 0.0004936 0.0000411 0.0003702
[2934] 0.0002468 0.0002262 0.0007199 0.0002468 0.0003497 0.0002057 0.0003291
[2941] 0.0004525 0.0003085 0.0000411 0.0003702 0.0001851 0.0002057 0.0005142
[2948] 0.0002262 0.0000411 0.0002674 0.0000823 0.0003497 0.0005553 0.0003291
[2955] 0.0000411 0.0001440 0.0002468 0.0002879 0.0005759 0.0002262 0.0002674
[2962] 0.0000823 0.0003908 0.0008227 0.0003497 0.0000206 0.0003085 0.0001851
[2969] 0.0001645 0.0004114 0.0002674 0.0003702 0.0001234 0.0003291 0.0005759
[2976] 0.0003702 0.0000411 0.0001234 0.0001234 0.0002674 0.0004525 0.0003908
[2983] 0.0000617 0.0003497 0.0001440 0.0002468 0.0008227 0.0002262 0.0000411
[2990] 0.0001234 0.0001440 0.0003702 0.0004525 0.0002674 0.0000411 0.0003497
[2997] 0.0000823 0.0002879 0.0005142 0.0002262 0.0001851 0.0000411 0.0001645
[3004] 0.0003908 0.0004731 0.0000411 0.0002262 0.0001440 0.0001440 0.0007816
[3011] 0.0003085 0.0002468 0.0001645 0.0003702 0.0005759 0.0002262 0.0000823
[3018] 0.0002879 0.0001645 0.0001851 0.0005965 0.0001645 0.0000617 0.0002057
[3025] 0.0000206 0.0002468 0.0003497 0.0003497 0.0000206 0.0001645 0.0002674
[3032] 0.0002262 0.0004936 0.0002262 0.0002468 0.0001234 0.0002879 0.0006376
[3039] 0.0003702 0.0000206 0.0002468 0.0002057 0.0002262 0.0004731 0.0002674
[3046] 0.0003291 0.0001440 0.0003291 0.0006993 0.0001645 0.0000617 0.0001234
[3053] 0.0001851 0.0001851 0.0003085 0.0002057 0.0000206 0.0003497 0.0000206
[3060] 0.0002262 0.0008433 0.0002879 0.0001851 0.0002057 0.0003908 0.0004319
[3067] 0.0003497 0.0003497 0.0002057 0.0002879 0.0006170 0.0001645 0.0000411
[3074] 0.0001440 0.0001440 0.0003085 0.0004319 0.0004114 0.0000411 0.0002879
[3081] 0.0000823 0.0001645 0.0005965 0.0002674 0.0001028 0.0000411 0.0004525
[3088] 0.0004525 0.0003497 0.0002879 0.0000206 0.0002057 0.0007199 0.0002468
[3095] 0.0003085 0.0001028 0.0002879 0.0003908 0.0003497 0.0000411 0.0002262
[3102] 0.0001851 0.0002262 0.0005348 0.0001234 0.0001440 0.0000411 0.0002468
[3109] 0.0004114 0.0003908 0.0000617 0.0000411 0.0001028 0.0001645 0.0004525
[3116] 0.0003291 0.0000206 0.0001645 0.0000411 0.0003291 0.0006170 0.0004319
[3123] 0.0002879 0.0001645 0.0002262 0.0003702 0.0001645 0.0000411 0.0003085
[3130] 0.0000617 0.0002057 0.0005965 0.0002262 0.0000617 0.0000617 0.0001028
[3137] 0.0001440 0.0003497 0.0002262 0.0000206 0.0002057 0.0001028 0.0002057
[3144] 0.0006170 0.0001851 0.0000411 0.0000411 0.0001440 0.0002468 0.0004319
[3151] 0.0003702 0.0000206 0.0003291 0.0001234 0.0000823 0.0006170 0.0002057
[3158] 0.0001851 0.0001234 0.0004319 0.0002879 0.0003291 0.0000206 0.0001851
[3165] 0.0001028 0.0002057 0.0005759 0.0002262 0.0000206 0.0001028 0.0000823
[3172] 0.0002468 0.0005142 0.0003085 0.0002262 0.0001645 0.0002468 0.0006787
[3179] 0.0001440 0.0002262 0.0001028 0.0003702 0.0003497 0.0002879 0.0002057
[3186] 0.0000823 0.0000617 0.0004114 0.0002057 0.0001440 0.0000617 0.0002879
[3193] 0.0005142 0.0004525 0.0000206 0.0001234 0.0001440 0.0002879 0.0004731
[3200] 0.0001645 0.0002468 0.0003497 0.0006170 0.0002879 0.0000206 0.0001234
[3207] 0.0001028 0.0001645 0.0002674 0.0002674 0.0002468 0.0000823 0.0001851
[3214] 0.0006787 0.0003291 0.0001234 0.0000823 0.0001234 0.0003497 0.0003291
[3221] 0.0002262 0.0001028 0.0001851 0.0005142 0.0002468 0.0000411 0.0000617
[3228] 0.0000823 0.0003085 0.0003291 0.0001234 0.0000411 0.0002468 0.0000617
[3235] 0.0001028 0.0004114 0.0002468 0.0001234 0.0002262 0.0003291 0.0003702
[3242] 0.0002057 0.0001440 0.0001440 0.0006376 0.0002057 0.0002057 0.0001851
[3249] 0.0002262 0.0003702 0.0002468 0.0000617 0.0001234 0.0001234 0.0001028
[3256] 0.0004731 0.0001645 0.0000206 0.0001234 0.0000206 0.0001645 0.0003702
[3263] 0.0002057 0.0000823 0.0001028 0.0001645 0.0003702 0.0001440 0.0001645
[3270] 0.0003085 0.0005553 0.0003908 0.0000206 0.0002468 0.0001645 0.0001440
[3277] 0.0003291 0.0002057 0.0001851 0.0001234 0.0002674 0.0005759 0.0002057
[3284] 0.0000206 0.0000206 0.0000823 0.0002262 0.0003497 0.0003497 0.0001440
[3291] 0.0001645 0.0005348 0.0002879 0.0000206 0.0000823 0.0003085 0.0003497
[3298] 0.0003497 0.0002879 0.0001028 0.0002468 0.0005759 0.0001851 0.0001440
[3305] 0.0000823 0.0001440 0.0001851 0.0003497 0.0000206 0.0000823 0.0000411
[3312] 0.0001440 0.0003497 0.0002468 0.0000411 0.0002879 0.0003702 0.0003291
[3319] 0.0000206 0.0001645 0.0000823 0.0001028 0.0005965 0.0002674 0.0001851
[3326] 0.0000206 0.0002057 0.0003085 0.0003291 0.0001645 0.0001645 0.0001234
[3333] 0.0002674 0.0001028 0.0001234 0.0000617 0.0000617 0.0003085 0.0003291
[3340] 0.0000206 0.0000411 0.0000823 0.0000823 0.0004114 0.0002879 0.0002057
[3347] 0.0000617 0.0002468 0.0005553 0.0002879 0.0001234 0.0001440 0.0001440
[3354] 0.0001645 0.0001028 0.0002468 0.0000411 0.0000823 0.0004114 0.0002468
[3361] 0.0000206 0.0000823 0.0001234 0.0001851 0.0002468 0.0002468 0.0001645
[3368] 0.0001028 0.0002262 0.0005142 0.0001234 0.0000617 0.0000411 0.0002468
[3375] 0.0003291 0.0003497 0.0002262 0.0000617 0.0000617 0.0003702 0.0002057
[3382] 0.0001028 0.0000823 0.0001851 0.0001851 0.0002879 0.0000206 0.0001440
[3389] 0.0000206 0.0001028 0.0005348 0.0002674 0.0001028 0.0000617 0.0002879
[3396] 0.0003085 0.0003085 0.0000206 0.0000411 0.0000617 0.0002262 0.0004319
[3403] 0.0000617 0.0001028 0.0002057 0.0003291 0.0003497 0.0001234 0.0000411
[3410] 0.0000206 0.0003497 0.0002674 0.0000823 0.0000206 0.0002262 0.0004525
[3417] 0.0004114 0.0001028 0.0001234 0.0001645 0.0003291 0.0001645 0.0000206
[3424] 0.0000823 0.0000206 0.0001645 0.0003702 0.0002879 0.0000206 0.0001028
[3431] 0.0002262 0.0002468 0.0001028 0.0001851 0.0004525 0.0002674 0.0000411
[3438] 0.0000823 0.0001440 0.0002262 0.0003291 0.0002057 0.0000823 0.0000823
[3445] 0.0003908 0.0002057 0.0000411 0.0000823 0.0002262 0.0001645 0.0001645
[3452] 0.0000206 0.0000411 0.0000823 0.0000823 0.0002674 0.0002262 0.0001645
[3459] 0.0002879 0.0002879 0.0001645 0.0001234 0.0001234 0.0004319 0.0001645
[3466] 0.0001440 0.0001028 0.0001851 0.0002262 0.0002262 0.0000823 0.0000823
[3473] 0.0000411 0.0002674 0.0001234 0.0001234 0.0000206 0.0002057 0.0002468
[3480] 0.0002879 0.0000411 0.0000823 0.0002057 0.0003702 0.0000823 0.0001851
[3487] 0.0001851 0.0004731 0.0003497 0.0001440 0.0000823 0.0000823 0.0002057
[3494] 0.0003085 0.0001234 0.0000617 0.0001851 0.0002674 0.0001440 0.0000206
[3501] 0.0000206 0.0000617 0.0001440 0.0002468 0.0000823 0.0001440 0.0004731
[3508] 0.0003702 0.0000411 0.0002262 0.0003085 0.0002057 0.0001645 0.0000411
[3515] 0.0001440 0.0002879 0.0001645 0.0000823 0.0000411 0.0000823 0.0000617
[3522] 0.0002674 0.0000206 0.0000617 0.0000617 0.0000411 0.0003908 0.0002262
[3529] 0.0000206 0.0000411 0.0001851 0.0002468 0.0002879 0.0000206 0.0000823
[3536] 0.0003497 0.0001645 0.0000823 0.0000823 0.0002674 0.0001234 0.0001028
[3543] 0.0000617 0.0000411 0.0002262 0.0000617 0.0000823 0.0000206 0.0001645
[3550] 0.0002879 0.0003085 0.0000411 0.0000823 0.0000823 0.0002879 0.0001645
[3557] 0.0000206 0.0000206 0.0001851 0.0004114 0.0001645 0.0000411 0.0000411
[3564] 0.0001645 0.0001645 0.0002057 0.0001028 0.0000411 0.0003291 0.0002057
[3571] 0.0000206 0.0000823 0.0001440 0.0001440 0.0002468 0.0000823 0.0000617
[3578] 0.0002057 0.0003497 0.0001028 0.0000206 0.0001851 0.0002057 0.0001851
[3585] 0.0000823 0.0000411 0.0000823 0.0002879 0.0002057 0.0000206 0.0000411
[3592] 0.0001645 0.0002262 0.0003291 0.0001234 0.0000617 0.0000206 0.0002674
[3599] 0.0002262 0.0000823 0.0000411 0.0001645 0.0001028 0.0003085 0.0000411
[3606] 0.0001645 0.0002674 0.0000411 0.0000823 0.0000823 0.0001440 0.0003702
[3613] 0.0000411 0.0000206 0.0002674 0.0002468 0.0001028 0.0000411 0.0000823
[3620] 0.0003085 0.0002262 0.0001028 0.0000823 0.0000206 0.0001440 0.0001028
[3627] 0.0000617 0.0000206 0.0000823 0.0001645 0.0002674 0.0000411 0.0000823
[3634] 0.0000823 0.0001234 0.0000206 0.0000206 0.0001234 0.0003497 0.0001645
[3641] 0.0000411 0.0000823 0.0001851 0.0002674 0.0001440 0.0000411 0.0002674
[3648] 0.0001028 0.0000411 0.0000617 0.0000823 0.0000617 0.0000823 0.0000411
[3655] 0.0000206 0.0000411 0.0003291 0.0001440 0.0000206 0.0001645 0.0002262
[3662] 0.0002468 0.0000206 0.0001028 0.0002879 0.0000617 0.0000411 0.0000411
[3669] 0.0001851 0.0002262 0.0002674 0.0000617 0.0000411 0.0000206 0.0001645
[3676] 0.0002057 0.0000206 0.0001645 0.0002057 0.0003085 0.0001440 0.0003085
[3683] 0.0001028 0.0001028 0.0003291 0.0002468 0.0000411 0.0000411 0.0000617
[3690] 0.0001234 0.0001028 0.0000617 0.0000206 0.0001234 0.0001851 0.0002057
[3697] 0.0000411 0.0000617 0.0000411 0.0003085 0.0000206 0.0001028 0.0002879
[3704] 0.0003085 0.0001440 0.0002262 0.0001234 0.0001028 0.0000411 0.0000411
[3711] 0.0002057 0.0001234 0.0000411 0.0000206 0.0000823 0.0002057 0.0000411
[3718] 0.0000411 0.0000206 0.0001234 0.0001028 0.0000206 0.0000617 0.0001234
[3725] 0.0000617 0.0001645 0.0000206 0.0000617 0.0002468 0.0001234 0.0000617
[3732] 0.0001234 0.0001440 0.0002879 0.0000206 0.0000206 0.0000617 0.0001645
[3739] 0.0001028 0.0000411 0.0000411 0.0001234 0.0002262 0.0000617 0.0000617
[3746] 0.0000411 0.0000823 0.0001440 0.0000206 0.0000206 0.0001645 0.0001645
[3753] 0.0000823 0.0000617 0.0001028 0.0001645 0.0000411 0.0000411 0.0002674
[3760] 0.0002262 0.0000206 0.0000411 0.0001028 0.0001645 0.0000823 0.0000823
[3767] 0.0002674 0.0001440 0.0000206 0.0000823 0.0000823 0.0002468 0.0000617
[3774] 0.0002879 0.0000823 0.0001028 0.0002057 0.0002057 0.0000206 0.0001851
[3781] 0.0002057 0.0000206 0.0000823 0.0001234 0.0001645 0.0000206 0.0000617
[3788] 0.0001234 0.0000411 0.0001234 0.0001440 0.0002057 0.0000617 0.0002468
[3795] 0.0001028 0.0000823 0.0002262 0.0001645 0.0000617 0.0000617 0.0000617
[3802] 0.0000823 0.0000206 0.0000206 0.0001234 0.0001234 0.0000823 0.0000206
[3809] 0.0001028 0.0000206 0.0001440 0.0002468 0.0000411 0.0000823 0.0001645
[3816] 0.0001028 0.0000617 0.0000206 0.0000206 0.0001851 0.0000823 0.0000206
[3823] 0.0000206 0.0001028 0.0000617 0.0001645 0.0000823 0.0001440 0.0001234
[3830] 0.0000617 0.0003291 0.0001028 0.0002468 0.0000411 0.0000411 0.0000617
[3837] 0.0000823 0.0001440 0.0000206 0.0000206 0.0000411 0.0001645 0.0000411
[3844] 0.0000411 0.0002468 0.0000206 0.0000206 0.0001028 0.0001028 0.0000823
[3851] 0.0001645 0.0002057 0.0000206 0.0000823 0.0000411 0.0000411 0.0001440
[3858] 0.0001440 0.0002262 0.0000206 0.0000206 0.0000206 0.0002057 0.0001028
[3865] 0.0000823 0.0001028 0.0000411 0.0000206 0.0001645 0.0000617 0.0000411
[3872] 0.0001234 0.0001028 0.0001234 0.0000617 0.0000206 0.0001234 0.0001028
[3879] 0.0001645 0.0000411 0.0000823 0.0000823 0.0000411 0.0001028 0.0001028
[3886] 0.0000206 0.0000617 0.0002057 0.0000411 0.0000411 0.0001440 0.0001851
[3893] 0.0000411 0.0000206 0.0000823 0.0000823 0.0001440 0.0000823 0.0000206
[3900] 0.0000411 0.0001028 0.0000206 0.0000617 0.0001851 0.0002057 0.0000617
[3907] 0.0001028 0.0001234 0.0000206 0.0000617 0.0001234 0.0000411 0.0002057
[3914] 0.0000411 0.0000411 0.0000411 0.0000617 0.0000617 0.0001234 0.0001234
[3921] 0.0001234 0.0000206 0.0000411 0.0001440 0.0000206 0.0000617 0.0001851
[3928] 0.0000411 0.0000823 0.0001028 0.0000411 0.0001440 0.0000411 0.0000206
[3935] 0.0000206 0.0000617 0.0000206 0.0000823 0.0001440 0.0001234 0.0000617
[3942] 0.0001645 0.0000617 0.0000617 0.0001028 0.0001440 0.0000617 0.0000206
[3949] 0.0000411 0.0000617 0.0001028 0.0000411 0.0001851 0.0000411 0.0000823
[3956] 0.0001645 0.0000617 0.0001234 0.0000206 0.0000411 0.0000617 0.0001028
[3963] 0.0000411 0.0000823 0.0001645 0.0000411 0.0000617 0.0000411 0.0000823
[3970] 0.0001028 0.0000206 0.0000411 0.0000206 0.0000411 0.0001028 0.0000411
[3977] 0.0000206 0.0000206 0.0001028 0.0000617 0.0000411 0.0000823 0.0000206
[3984] 0.0000411 0.0000411 0.0000411 0.0001440 0.0000206 0.0000411 0.0000411
[3991] 0.0000206 0.0000823 0.0000411 0.0001234 0.0000206 0.0000206 0.0001028
[3998] 0.0000617 0.0000206 0.0000617 0.0001851 0.0000617 0.0000411 0.0000411
[4005] 0.0001234 0.0000206 0.0001440 0.0000823 0.0000617 0.0000823 0.0000411
[4012] 0.0000206 0.0000823 0.0000617 0.0000411 0.0000411 0.0000411 0.0000411
[4019] 0.0000206 0.0001028 0.0000411 0.0000411 0.0000206 0.0000206 0.0001028
[4026] 0.0000411 0.0000617 0.0000617 0.0000206 0.0000206 0.0000411 0.0001234
[4033] 0.0000206 0.0001234 0.0000411 0.0000206 0.0000823 0.0000206 0.0000206
[4040] 0.0000823 0.0001440 0.0000823 0.0000411 0.0000206 0.0000206 0.0000823
[4047] 0.0000206 0.0000823 0.0000617 0.0000206 0.0001234 0.0000411 0.0000411
[4054] 0.0000206 0.0000411 0.0000206 0.0000823 0.0000206 0.0000617 0.0000411
[4061] 0.0000617 0.0000206 0.0000411 0.0000206 0.0000206 0.0000617 0.0000411
[4068] 0.0000823 0.0000411 0.0000206 0.0000617 0.0000411 0.0000206 0.0000823
[4075] 0.0000617 0.0000411 0.0000206 0.0000411 0.0001234 0.0000411 0.0000206
[4082] 0.0000206 0.0000411 0.0000411 0.0000411 0.0000206 0.0000206 0.0000206
[4089] 0.0000411 0.0000206 0.0000206 0.0000411 0.0000411 0.0000617 0.0000617
[4096] 0.0000411 0.0000411 0.0000206 0.0000411 0.0000411 0.0000206 0.0000411
[4103] 0.0000206 0.0000411 0.0000206 0.0000206
> round(qp_it1_SR <- qperm(it1_SR, seq(0, 1, 0.01)), 7)
[1] -3.2641751 -2.2408882 -2.0193392 -1.8687838 -1.7525012 -1.6582511
[7] -1.5731812 -1.4942314 -1.4281340 -1.3669326 -1.3100153 -1.2555461
[13] -1.2016889 -1.1563999 -1.1086628 -1.0652098 -1.0229809 -0.9813640
[19] -0.9434191 -0.9066983 -0.8693655 -0.8320326 -0.7965358 -0.7647111
[25] -0.7292143 -0.6980016 -0.6674009 -0.6355762 -0.6019155 -0.5743749
[31] -0.5443862 -0.5143975 -0.4844088 -0.4550322 -0.4287156 -0.4017870
[37] -0.3724103 -0.3436457 -0.3173291 -0.2928486 -0.2640839 -0.2377673
[43] -0.2090027 -0.1839101 -0.1582055 -0.1306649 -0.1037363 -0.0786438
[49] -0.0529392 -0.0253986 -0.0003060 0.0253986 0.0529392 0.0786438
[55] 0.1037363 0.1306649 0.1582055 0.1839101 0.2090027 0.2377673
[61] 0.2640839 0.2928486 0.3173291 0.3436457 0.3724103 0.3999510
[67] 0.4287156 0.4550322 0.4844088 0.5143975 0.5443862 0.5743749
[73] 0.6019155 0.6355762 0.6674009 0.6980016 0.7292143 0.7647111
[79] 0.7965358 0.8320326 0.8693655 0.9066983 0.9434191 0.9813640
[85] 1.0229809 1.0652098 1.1086628 1.1563999 1.2016889 1.2555461
[91] 1.3100153 1.3669326 1.4281340 1.4942314 1.5731812 1.6582511
[97] 1.7525012 1.8687838 2.0193392 2.2408882 3.2641751
> round(rp_it1_SR <- rperm(it1_SR, 5), 7)
[1] 0.9923802 0.6722970 0.4593163 0.7224822 -0.5945713
> stopifnot(all(rp_it1_SR %in% supp_it1_SR))
>
> ### split-up without block
> it1_vdW <- independence_test(y ~ x, data = dta1,
+ distribution = exact(algorithm = "split-up"))
> round(pp_it1_vdW <- pperm(it1_vdW, supp_it1_SR), 7)
[1] 0.0000206 0.0000411 0.0000823 0.0001028 0.0001440 0.0001645 0.0002057
[8] 0.0002468 0.0002674 0.0003085 0.0003497 0.0004114 0.0004731 0.0005142
[15] 0.0005553 0.0005759 0.0005965 0.0006376 0.0006582 0.0006787 0.0006993
[22] 0.0007404 0.0007816 0.0008227 0.0008433 0.0008638 0.0009050 0.0010284
[29] 0.0010695 0.0010901 0.0011312 0.0011929 0.0012752 0.0012958 0.0013369
[36] 0.0013986 0.0014192 0.0014603 0.0015426 0.0015837 0.0016454 0.0016660
[43] 0.0016865 0.0017277 0.0017483 0.0018100 0.0018511 0.0019128 0.0019334
[50] 0.0020156 0.0020362 0.0020773 0.0020979 0.0021390 0.0021802 0.0023036
[57] 0.0023241 0.0023858 0.0024681 0.0024887 0.0025710 0.0025915 0.0026121
[64] 0.0026532 0.0027355 0.0028795 0.0029617 0.0029823 0.0030029 0.0030852
[71] 0.0031057 0.0031469 0.0032703 0.0032908 0.0034142 0.0034554 0.0034759
[78] 0.0034965 0.0035582 0.0036199 0.0036610 0.0037639 0.0037845 0.0038050
[85] 0.0038462 0.0038873 0.0039901 0.0040107 0.0040518 0.0040930 0.0041341
[92] 0.0041752 0.0042369 0.0043192 0.0043398 0.0043809 0.0044632 0.0045249
[99] 0.0046072 0.0047511 0.0047717 0.0048951 0.0049362 0.0049774 0.0050391
[106] 0.0052242 0.0052859 0.0053065 0.0053682 0.0054710 0.0054916 0.0055121
[113] 0.0056355 0.0056767 0.0057589 0.0057795 0.0058206 0.0058618 0.0058824
[120] 0.0060263 0.0060675 0.0061086 0.0061497 0.0061703 0.0062526 0.0062937
[127] 0.0063554 0.0064582 0.0064788 0.0064994 0.0065405 0.0066434 0.0066845
[134] 0.0067051 0.0067462 0.0067668 0.0068696 0.0069519 0.0069930 0.0070547
[141] 0.0070958 0.0072604 0.0073427 0.0073838 0.0074866 0.0075483 0.0075895
[148] 0.0076100 0.0077334 0.0077951 0.0079597 0.0080420 0.0080831 0.0082682
[155] 0.0083093 0.0084122 0.0084739 0.0085150 0.0085356 0.0085973 0.0087413
[162] 0.0088441 0.0089058 0.0089675 0.0091320 0.0091937 0.0093172 0.0094611
[169] 0.0095434 0.0095640 0.0096257 0.0096462 0.0096668 0.0097079 0.0098519
[176] 0.0098930 0.0099959 0.0100782 0.0101193 0.0103044 0.0103661 0.0103867
[183] 0.0105306 0.0105718 0.0105923 0.0107158 0.0108392 0.0109626 0.0110243
[190] 0.0110860 0.0111271 0.0111682 0.0112094 0.0114151 0.0114562 0.0115796
[197] 0.0116413 0.0116619 0.0117853 0.0118881 0.0119498 0.0121555 0.0123406
[204] 0.0124023 0.0124229 0.0125257 0.0125668 0.0125874 0.0126697 0.0128137
[211] 0.0128959 0.0129782 0.0129988 0.0130399 0.0132250 0.0133690 0.0134101
[218] 0.0134513 0.0136569 0.0137186 0.0137392 0.0138420 0.0139449 0.0139860
[225] 0.0140683 0.0141506 0.0141917 0.0143562 0.0144591 0.0145825 0.0146030
[232] 0.0146647 0.0147882 0.0148910 0.0150144 0.0150555 0.0151172 0.0152818
[239] 0.0153023 0.0153435 0.0154463 0.0155286 0.0156314 0.0158371 0.0158577
[246] 0.0158782 0.0158988 0.0161251 0.0162690 0.0164130 0.0164541 0.0164953
[253] 0.0165775 0.0165981 0.0168038 0.0169683 0.0170506 0.0171534 0.0172563
[260] 0.0172768 0.0172974 0.0175442 0.0175854 0.0176265 0.0177910 0.0178322
[267] 0.0178527 0.0178733 0.0180173 0.0180995 0.0181613 0.0182024 0.0182435
[274] 0.0184903 0.0185932 0.0189223 0.0189840 0.0191074 0.0192513 0.0193336
[281] 0.0194981 0.0195599 0.0196627 0.0196833 0.0197038 0.0197861 0.0199712
[288] 0.0199918 0.0200123 0.0200740 0.0201769 0.0203414 0.0204237 0.0204648
[295] 0.0207116 0.0208556 0.0208762 0.0209790 0.0209996 0.0210819 0.0212053
[302] 0.0213287 0.0213492 0.0213698 0.0214521 0.0215138 0.0215755 0.0216372
[309] 0.0218017 0.0220280 0.0221102 0.0222131 0.0224599 0.0225216 0.0227273
[316] 0.0228712 0.0229947 0.0230358 0.0231592 0.0232209 0.0232415 0.0234060
[323] 0.0235294 0.0236117 0.0236323 0.0238379 0.0240230 0.0240436 0.0242493
[330] 0.0244550 0.0245578 0.0246401 0.0249280 0.0249897 0.0252365 0.0253188
[337] 0.0254011 0.0254216 0.0255656 0.0258330 0.0259153 0.0259975 0.0261621
[344] 0.0262649 0.0263060 0.0263266 0.0265529 0.0268202 0.0268614 0.0269025
[351] 0.0270671 0.0271699 0.0272316 0.0273139 0.0274784 0.0276429 0.0276635
[358] 0.0276841 0.0278281 0.0279103 0.0279515 0.0280132 0.0280749 0.0283011
[365] 0.0284245 0.0284657 0.0285068 0.0286096 0.0287742 0.0288359 0.0288564
[372] 0.0288770 0.0291650 0.0293089 0.0294323 0.0294940 0.0296174 0.0298643
[379] 0.0299260 0.0299465 0.0301111 0.0301728 0.0302962 0.0303579 0.0303784
[386] 0.0304813 0.0306047 0.0306253 0.0306664 0.0307075 0.0309132 0.0309955
[393] 0.0310160 0.0310572 0.0311806 0.0313863 0.0314274 0.0314685 0.0315714
[400] 0.0316948 0.0319210 0.0320650 0.0323735 0.0326615 0.0327643 0.0327849
[407] 0.0330934 0.0331345 0.0331962 0.0332374 0.0334430 0.0336281 0.0337515
[414] 0.0337721 0.0338338 0.0339367 0.0340601 0.0341218 0.0341629 0.0342040
[421] 0.0344508 0.0347799 0.0348828 0.0349856 0.0352941 0.0354381 0.0357466
[428] 0.0359523 0.0361168 0.0361374 0.0363431 0.0365076 0.0365282 0.0365693
[435] 0.0366310 0.0368984 0.0371246 0.0373097 0.0373509 0.0373920 0.0374537
[442] 0.0377417 0.0378445 0.0378651 0.0381119 0.0383381 0.0385027 0.0385232
[449] 0.0386672 0.0389963 0.0390374 0.0390580 0.0390991 0.0391814 0.0392431
[456] 0.0393254 0.0393871 0.0394282 0.0395311 0.0397984 0.0398396 0.0399835
[463] 0.0402509 0.0404360 0.0405183 0.0405594 0.0407240 0.0410736 0.0411970
[470] 0.0412176 0.0412382 0.0413616 0.0414439 0.0415261 0.0415673 0.0418346
[477] 0.0419992 0.0420814 0.0421020 0.0421637 0.0422666 0.0424105 0.0424311
[484] 0.0425134 0.0426162 0.0428425 0.0431510 0.0432332 0.0432744 0.0433772
[491] 0.0436240 0.0438914 0.0439120 0.0439531 0.0443233 0.0444673 0.0445496
[498] 0.0446318 0.0446730 0.0449404 0.0451049 0.0451460 0.0454545 0.0455574
[505] 0.0457219 0.0457631 0.0458453 0.0460716 0.0463390 0.0463595 0.0464212
[512] 0.0465446 0.0468737 0.0471000 0.0472645 0.0473056 0.0473262 0.0475319
[519] 0.0478198 0.0479021 0.0479432 0.0480255 0.0482106 0.0484163 0.0486014
[526] 0.0486220 0.0487248 0.0490745 0.0492801 0.0493418 0.0494241 0.0496709
[533] 0.0498149 0.0499589 0.0500411 0.0500617 0.0502674 0.0505965 0.0506376
[540] 0.0507404 0.0509461 0.0511107 0.0512752 0.0513163 0.0513575 0.0515220
[547] 0.0519334 0.0521185 0.0521390 0.0521596 0.0523241 0.0526121 0.0526944
[554] 0.0527766 0.0528178 0.0531263 0.0534142 0.0535788 0.0535993 0.0536816
[561] 0.0537433 0.0539696 0.0540107 0.0540724 0.0541752 0.0542986 0.0545660
[568] 0.0546483 0.0547306 0.0548951 0.0552448 0.0553270 0.0553476 0.0556355
[575] 0.0558824 0.0560675 0.0561086 0.0561292 0.0563554 0.0567462 0.0567873
[582] 0.0568490 0.0569107 0.0569313 0.0571987 0.0572604 0.0573427 0.0573838
[589] 0.0574661 0.0576306 0.0579186 0.0580625 0.0581037 0.0582682 0.0584739
[596] 0.0587824 0.0590086 0.0590498 0.0594200 0.0598930 0.0600370 0.0601193
[603] 0.0603661 0.0605101 0.0605718 0.0605923 0.0606129 0.0607569 0.0610243
[610] 0.0612094 0.0612711 0.0613945 0.0617030 0.0619087 0.0619910 0.0620732
[617] 0.0622172 0.0625668 0.0630399 0.0632250 0.0634101 0.0634924 0.0638626
[624] 0.0640683 0.0641506 0.0641917 0.0644796 0.0647265 0.0649321 0.0649527
[631] 0.0650761 0.0651995 0.0654669 0.0655080 0.0655903 0.0656726 0.0658988
[638] 0.0661251 0.0663102 0.0664130 0.0665570 0.0667215 0.0671534 0.0672768
[645] 0.0674002 0.0675648 0.0678527 0.0681407 0.0683052 0.0685315 0.0687988
[652] 0.0688811 0.0689634 0.0690045 0.0690251 0.0691896 0.0693542 0.0695804
[659] 0.0696627 0.0697038 0.0699095 0.0703003 0.0703826 0.0704648 0.0706705
[666] 0.0709996 0.0712258 0.0713698 0.0714521 0.0714932 0.0717606 0.0722131
[673] 0.0723982 0.0725010 0.0727478 0.0729741 0.0730769 0.0730975 0.0733854
[680] 0.0737557 0.0739202 0.0739408 0.0740230 0.0740436 0.0742081 0.0745372
[687] 0.0747018 0.0748252 0.0749280 0.0753394 0.0757919 0.0760181 0.0760387
[694] 0.0761209 0.0763883 0.0767380 0.0767585 0.0767997 0.0769231 0.0772727
[701] 0.0776018 0.0778075 0.0779103 0.0779720 0.0784039 0.0786302 0.0786919
[708] 0.0787330 0.0787536 0.0790621 0.0793706 0.0796586 0.0797203 0.0798231
[715] 0.0800905 0.0806253 0.0807281 0.0807487 0.0808926 0.0809132 0.0812012
[722] 0.0813863 0.0815714 0.0816536 0.0817565 0.0819622 0.0823324 0.0823941
[729] 0.0824558 0.0826820 0.0830317 0.0833608 0.0836076 0.0836487 0.0837104
[736] 0.0838338 0.0843480 0.0845742 0.0846771 0.0848416 0.0850884 0.0853353
[743] 0.0855204 0.0856438 0.0857260 0.0857466 0.0859934 0.0864048 0.0864870
[750] 0.0865282 0.0867750 0.0868778 0.0870424 0.0871863 0.0873303 0.0874537
[757] 0.0877417 0.0882970 0.0885438 0.0886055 0.0888112 0.0890991 0.0895105
[764] 0.0895928 0.0896750 0.0897162 0.0897367 0.0900658 0.0903743 0.0904360
[771] 0.0904977 0.0906211 0.0907240 0.0909914 0.0911148 0.0912793 0.0914439
[778] 0.0917729 0.0920814 0.0922871 0.0923077 0.0924928 0.0927602 0.0933566
[785] 0.0934595 0.0935418 0.0937063 0.0937269 0.0940559 0.0944262 0.0947141
[792] 0.0947552 0.0950021 0.0953517 0.0954957 0.0955368 0.0956191 0.0956397
[799] 0.0959893 0.0961744 0.0963184 0.0964007 0.0965446 0.0967297 0.0973056
[806] 0.0975524 0.0976553 0.0979432 0.0982929 0.0986425 0.0989510 0.0990333
[813] 0.0990539 0.0993418 0.0998766 0.1000411 0.1001851 0.1005348 0.1008844
[820] 0.1011107 0.1011929 0.1012135 0.1012341 0.1014397 0.1020156 0.1022830
[827] 0.1024064 0.1025915 0.1027972 0.1031263 0.1032703 0.1034348 0.1036816
[834] 0.1037022 0.1040930 0.1046483 0.1049568 0.1051213 0.1052653 0.1056355
[841] 0.1058001 0.1059029 0.1059852 0.1061909 0.1065611 0.1067256 0.1067462
[848] 0.1068696 0.1068902 0.1070547 0.1075278 0.1076306 0.1077540 0.1078774
[855] 0.1079391 0.1081859 0.1085561 0.1087824 0.1089675 0.1091732 0.1093789
[862] 0.1100165 0.1101604 0.1103044 0.1105101 0.1108803 0.1112094 0.1114356
[869] 0.1115590 0.1118058 0.1122172 0.1123200 0.1123817 0.1126285 0.1126697
[876] 0.1127931 0.1131222 0.1134307 0.1135130 0.1135747 0.1136158 0.1138626
[883] 0.1143768 0.1145619 0.1146647 0.1148910 0.1152201 0.1155697 0.1156931
[890] 0.1157754 0.1158988 0.1162279 0.1169066 0.1170917 0.1171740 0.1174208
[897] 0.1176882 0.1179556 0.1181201 0.1182230 0.1183464 0.1183669 0.1186549
[904] 0.1192719 0.1196216 0.1198684 0.1200329 0.1205060 0.1207939 0.1209379
[911] 0.1210613 0.1210819 0.1215343 0.1220485 0.1223365 0.1223982 0.1225422
[918] 0.1227478 0.1231592 0.1232209 0.1233032 0.1235088 0.1237968 0.1241464
[925] 0.1245167 0.1246195 0.1248457 0.1249897 0.1256684 0.1259153 0.1260798
[932] 0.1263060 0.1266146 0.1271288 0.1273756 0.1274578 0.1275607 0.1275812
[939] 0.1278075 0.1283834 0.1285891 0.1286919 0.1288770 0.1288976 0.1292267
[946] 0.1295146 0.1299465 0.1300699 0.1302550 0.1304607 0.1310777 0.1311600
[953] 0.1312834 0.1316125 0.1316331 0.1320033 0.1324352 0.1326820 0.1328260
[960] 0.1328671 0.1329083 0.1330934 0.1337104 0.1339161 0.1340189 0.1342246
[967] 0.1342452 0.1344714 0.1348211 0.1349650 0.1350679 0.1351296 0.1351913
[974] 0.1354175 0.1360140 0.1362197 0.1362814 0.1365899 0.1366310 0.1367956
[981] 0.1371658 0.1373920 0.1375566 0.1378445 0.1382764 0.1388935 0.1392225
[988] 0.1392637 0.1394282 0.1394488 0.1397779 0.1402304 0.1403949 0.1404977
[995] 0.1405389 0.1406006 0.1409914 0.1414027 0.1416495 0.1416907 0.1418346
[1002] 0.1419580 0.1424928 0.1427190 0.1429042 0.1431304 0.1431715 0.1435212
[1009] 0.1439120 0.1441999 0.1443028 0.1446113 0.1448581 0.1455780 0.1457836
[1016] 0.1458042 0.1460921 0.1464418 0.1468943 0.1473468 0.1473879 0.1474907
[1023] 0.1477581 0.1483546 0.1485191 0.1486014 0.1488893 0.1489305 0.1493418
[1030] 0.1497738 0.1500823 0.1502262 0.1503702 0.1504114 0.1505759 0.1511929
[1037] 0.1514809 0.1516865 0.1520362 0.1523858 0.1528178 0.1532086 0.1534142
[1044] 0.1535993 0.1538873 0.1547306 0.1549568 0.1549774 0.1553270 0.1553476
[1051] 0.1555533 0.1558618 0.1560469 0.1562320 0.1563554 0.1564171 0.1565817
[1058] 0.1572810 0.1576100 0.1577540 0.1580831 0.1583505 0.1588235 0.1590498
[1065] 0.1592555 0.1595023 0.1595228 0.1598930 0.1605306 0.1608186 0.1609420
[1072] 0.1611888 0.1614151 0.1619087 0.1621349 0.1624023 0.1625668 0.1625874
[1079] 0.1629371 0.1632867 0.1635335 0.1635541 0.1637598 0.1638215 0.1639860
[1086] 0.1645825 0.1647676 0.1649321 0.1652201 0.1653023 0.1655286 0.1661045
[1093] 0.1664747 0.1666392 0.1668861 0.1671946 0.1679761 0.1681201 0.1682641
[1100] 0.1684903 0.1685315 0.1690045 0.1693953 0.1695599 0.1696010 0.1697861
[1107] 0.1700123 0.1705265 0.1708145 0.1708968 0.1712464 0.1712875 0.1715549
[1114] 0.1720074 0.1723776 0.1725216 0.1726450 0.1726861 0.1729124 0.1737351
[1121] 0.1739819 0.1741259 0.1744755 0.1745372 0.1749280 0.1753805 0.1756479
[1128] 0.1757713 0.1758947 0.1759358 0.1763060 0.1768819 0.1772110 0.1773344
[1135] 0.1777046 0.1779720 0.1783834 0.1785479 0.1787330 0.1790415 0.1790621
[1142] 0.1794118 0.1802345 0.1806253 0.1807075 0.1809749 0.1812012 0.1817770
[1149] 0.1820650 0.1823118 0.1824558 0.1824969 0.1828260 0.1833813 0.1837310
[1156] 0.1838132 0.1840806 0.1841218 0.1843480 0.1848622 0.1850679 0.1852530
[1163] 0.1856232 0.1856643 0.1859729 0.1864253 0.1867544 0.1869601 0.1873097
[1170] 0.1875566 0.1882764 0.1885027 0.1887495 0.1891197 0.1891608 0.1896545
[1177] 0.1902098 0.1906006 0.1907034 0.1909297 0.1909708 0.1911765 0.1918552
[1184] 0.1919992 0.1921843 0.1925339 0.1925956 0.1927396 0.1932127 0.1936035
[1191] 0.1938297 0.1940971 0.1943645 0.1950021 0.1951872 0.1953311 0.1958042
[1198] 0.1958248 0.1961333 0.1966475 0.1968943 0.1970588 0.1972439 0.1972851
[1205] 0.1975319 0.1983752 0.1986425 0.1988482 0.1992184 0.1992390 0.1995475
[1212] 0.1998766 0.2000411 0.2002057 0.2003702 0.2004731 0.2007404 0.2014603
[1219] 0.2017277 0.2018511 0.2022419 0.2022830 0.2024064 0.2029206 0.2032703
[1226] 0.2035376 0.2038462 0.2042781 0.2049774 0.2054710 0.2055327 0.2058412
[1233] 0.2060880 0.2066845 0.2068490 0.2069519 0.2071987 0.2072398 0.2076306
[1240] 0.2081654 0.2084327 0.2085767 0.2087618 0.2088030 0.2089675 0.2096462
[1247] 0.2099136 0.2101399 0.2104278 0.2104689 0.2107775 0.2113739 0.2118264
[1254] 0.2119704 0.2124023 0.2126491 0.2134924 0.2138009 0.2139654 0.2143768
[1261] 0.2144179 0.2148499 0.2153846 0.2157960 0.2160016 0.2162485 0.2164130
[1268] 0.2170506 0.2171740 0.2172768 0.2176471 0.2177088 0.2180173 0.2185315
[1275] 0.2189840 0.2191279 0.2193953 0.2194776 0.2196627 0.2206294 0.2209585
[1282] 0.2212464 0.2218429 0.2221719 0.2227478 0.2230358 0.2233237 0.2234883
[1289] 0.2235294 0.2238379 0.2244755 0.2246606 0.2247840 0.2251954 0.2252365
[1296] 0.2254216 0.2257507 0.2260387 0.2262238 0.2265323 0.2266351 0.2267997
[1303] 0.2276224 0.2279515 0.2281366 0.2285891 0.2286508 0.2289181 0.2295146
[1310] 0.2297820 0.2301316 0.2304196 0.2305224 0.2309132 0.2315919 0.2319210
[1317] 0.2320033 0.2323324 0.2326203 0.2331551 0.2334225 0.2336487 0.2339984
[1324] 0.2340601 0.2343891 0.2348622 0.2351707 0.2352735 0.2356643 0.2357260
[1331] 0.2359111 0.2366104 0.2368984 0.2371041 0.2375360 0.2376183 0.2379473
[1338] 0.2386055 0.2390580 0.2392431 0.2395311 0.2397984 0.2406006 0.2407857
[1345] 0.2409297 0.2412793 0.2413204 0.2415878 0.2420609 0.2423900 0.2425134
[1352] 0.2428630 0.2430276 0.2436446 0.2439737 0.2442205 0.2447758 0.2448169
[1359] 0.2452694 0.2458659 0.2463184 0.2465858 0.2468326 0.2468737 0.2471617
[1366] 0.2482106 0.2485397 0.2486220 0.2490745 0.2491156 0.2493624 0.2497943
[1373] 0.2501645 0.2503497 0.2505553 0.2506376 0.2508638 0.2516248 0.2520362
[1380] 0.2522624 0.2528178 0.2531469 0.2536610 0.2539079 0.2541958 0.2545866
[1387] 0.2546277 0.2549157 0.2557589 0.2561086 0.2562937 0.2567256 0.2567462
[1394] 0.2569519 0.2575895 0.2579597 0.2583093 0.2586796 0.2587413 0.2590703
[1401] 0.2597491 0.2601193 0.2601810 0.2605512 0.2606541 0.2608597 0.2615179
[1408] 0.2617647 0.2620938 0.2624023 0.2625463 0.2628137 0.2634718 0.2639860
[1415] 0.2642328 0.2647676 0.2650350 0.2657960 0.2660633 0.2663307 0.2667832
[1422] 0.2668655 0.2671740 0.2677910 0.2680173 0.2681818 0.2684903 0.2685726
[1429] 0.2687577 0.2694776 0.2696833 0.2699506 0.2703620 0.2704443 0.2706499
[1436] 0.2711641 0.2715343 0.2716989 0.2720485 0.2721308 0.2723571 0.2731798
[1443] 0.2734471 0.2736940 0.2744138 0.2745167 0.2748252 0.2754216 0.2758124
[1450] 0.2759770 0.2762032 0.2762443 0.2765734 0.2772727 0.2776224 0.2778075
[1457] 0.2781983 0.2782188 0.2785891 0.2789593 0.2791444 0.2793706 0.2796791
[1464] 0.2798026 0.2800699 0.2809338 0.2813040 0.2814685 0.2820856 0.2821473
[1471] 0.2823324 0.2829288 0.2833196 0.2836898 0.2841423 0.2841629 0.2844714
[1478] 0.2852735 0.2857466 0.2858906 0.2863019 0.2866104 0.2872686 0.2874743
[1485] 0.2876388 0.2880090 0.2880708 0.2884615 0.2890580 0.2893665 0.2895722
[1492] 0.2900658 0.2901275 0.2902921 0.2910119 0.2913204 0.2917318 0.2923283
[1499] 0.2923900 0.2927807 0.2935212 0.2941176 0.2943850 0.2947964 0.2948375
[1506] 0.2951049 0.2959070 0.2961538 0.2964212 0.2968326 0.2968943 0.2972439
[1513] 0.2977170 0.2981489 0.2983957 0.2988071 0.2988276 0.2990128 0.2996503
[1520] 0.2998355 0.3000823 0.3007610 0.3009050 0.3011107 0.3017277 0.3021185
[1527] 0.3024476 0.3028178 0.3029617 0.3031057 0.3041958 0.3045043 0.3048334
[1534] 0.3054299 0.3054504 0.3058206 0.3063760 0.3066845 0.3069107 0.3071164
[1541] 0.3071781 0.3074249 0.3081242 0.3083710 0.3085561 0.3092143 0.3092966
[1548] 0.3094817 0.3098725 0.3102838 0.3106746 0.3110860 0.3112299 0.3115179
[1555] 0.3123200 0.3127314 0.3129165 0.3134307 0.3134924 0.3136775 0.3143974
[1562] 0.3146442 0.3148910 0.3152818 0.3154258 0.3156931 0.3165570 0.3169066
[1569] 0.3170506 0.3175442 0.3175648 0.3177088 0.3183052 0.3185726 0.3189017
[1576] 0.3193336 0.3194159 0.3197038 0.3203826 0.3206911 0.3208556 0.3214521
[1583] 0.3214932 0.3216783 0.3225216 0.3228507 0.3230975 0.3235705 0.3236528
[1590] 0.3240230 0.3246401 0.3251131 0.3253394 0.3256890 0.3257507 0.3259358
[1597] 0.3266968 0.3268614 0.3270876 0.3276018 0.3277458 0.3280543 0.3286302
[1604] 0.3291238 0.3293912 0.3297820 0.3298643 0.3300288 0.3308515 0.3311806
[1611] 0.3315302 0.3323118 0.3326409 0.3332785 0.3336898 0.3339984 0.3343686
[1618] 0.3344508 0.3346771 0.3356232 0.3359317 0.3360963 0.3367544 0.3368367
[1625] 0.3371452 0.3375977 0.3380090 0.3382970 0.3386466 0.3387289 0.3388729
[1632] 0.3398190 0.3401687 0.3403949 0.3410531 0.3410942 0.3414027 0.3418963
[1639] 0.3422460 0.3426573 0.3431715 0.3433566 0.3436240 0.3445084 0.3448375
[1646] 0.3450638 0.3456808 0.3457014 0.3459276 0.3465858 0.3468531 0.3473468
[1653] 0.3477787 0.3478610 0.3481695 0.3488482 0.3491773 0.3493213 0.3498972
[1660] 0.3500000 0.3500823 0.3508433 0.3511518 0.3513986 0.3520773 0.3522830
[1667] 0.3524476 0.3531469 0.3536405 0.3538873 0.3544632 0.3545249 0.3547306
[1674] 0.3554093 0.3557178 0.3560675 0.3564994 0.3566022 0.3569107 0.3574455
[1681] 0.3577129 0.3578980 0.3582682 0.3583093 0.3584944 0.3592143 0.3594200
[1688] 0.3597491 0.3603455 0.3605306 0.3607775 0.3613328 0.3617441 0.3620938
[1695] 0.3625257 0.3626080 0.3627520 0.3636981 0.3641094 0.3643562 0.3650967
[1702] 0.3651584 0.3654052 0.3660222 0.3665775 0.3667832 0.3670712 0.3671329
[1709] 0.3673797 0.3682024 0.3685520 0.3687371 0.3693953 0.3694364 0.3696833
[1716] 0.3701152 0.3703826 0.3705882 0.3709996 0.3711847 0.3713698 0.3721719
[1723] 0.3726039 0.3728507 0.3735088 0.3735705 0.3737968 0.3745372 0.3749074
[1730] 0.3754011 0.3758947 0.3759358 0.3762443 0.3773550 0.3777664 0.3779103
[1737] 0.3784451 0.3785068 0.3786302 0.3792061 0.3795146 0.3798437 0.3803579
[1744] 0.3805430 0.3807898 0.3814068 0.3819210 0.3821678 0.3829288 0.3830522
[1751] 0.3832168 0.3840601 0.3843686 0.3847799 0.3853764 0.3854998 0.3857672
[1758] 0.3865693 0.3870424 0.3873097 0.3877417 0.3878445 0.3880502 0.3888935
[1765] 0.3891814 0.3894899 0.3900247 0.3901687 0.3903743 0.3908885 0.3913410
[1772] 0.3915878 0.3920403 0.3921843 0.3923488 0.3930276 0.3931921 0.3936035
[1779] 0.3943850 0.3945701 0.3947347 0.3953517 0.3958248 0.3961127 0.3965858
[1786] 0.3966886 0.3968531 0.3978404 0.3981900 0.3984574 0.3992184 0.3993213
[1793] 0.3996915 0.4002674 0.4005348 0.4007816 0.4011312 0.4013575 0.4015426
[1800] 0.4024064 0.4028178 0.4030440 0.4036405 0.4037022 0.4038462 0.4042369
[1807] 0.4045866 0.4049568 0.4054710 0.4055944 0.4058618 0.4066845 0.4070341
[1814] 0.4072810 0.4080625 0.4081859 0.4083505 0.4090703 0.4093377 0.4096051
[1821] 0.4100987 0.4102838 0.4105512 0.4111682 0.4115590 0.4117647 0.4122789
[1828] 0.4123406 0.4124846 0.4131839 0.4134307 0.4137803 0.4144385 0.4145208
[1835] 0.4148499 0.4156109 0.4160633 0.4163307 0.4169889 0.4170506 0.4172357
[1842] 0.4179967 0.4183052 0.4187371 0.4192925 0.4194159 0.4197450 0.4203003
[1849] 0.4208556 0.4211641 0.4216578 0.4217606 0.4219663 0.4227273 0.4229535
[1856] 0.4231386 0.4237968 0.4240025 0.4242081 0.4247429 0.4251337 0.4254422
[1863] 0.4259358 0.4261004 0.4261826 0.4270465 0.4273756 0.4277869 0.4286919
[1870] 0.4287536 0.4291238 0.4297408 0.4302962 0.4306458 0.4310572 0.4311806
[1877] 0.4314068 0.4322912 0.4325175 0.4328260 0.4336281 0.4337515 0.4339161
[1884] 0.4344508 0.4348005 0.4352530 0.4356643 0.4358700 0.4360551 0.4368367
[1891] 0.4372480 0.4374949 0.4382970 0.4384204 0.4385644 0.4391197 0.4395516
[1898] 0.4399630 0.4405389 0.4408063 0.4409914 0.4420403 0.4424722 0.4427396
[1905] 0.4433155 0.4433978 0.4435829 0.4440971 0.4443028 0.4447758 0.4452900
[1912] 0.4454340 0.4456397 0.4461744 0.4463390 0.4465035 0.4472645 0.4474496
[1919] 0.4475319 0.4482723 0.4485808 0.4489716 0.4496298 0.4498560 0.4500617
[1926] 0.4508638 0.4513780 0.4516865 0.4522624 0.4523036 0.4524476 0.4533114
[1933] 0.4535993 0.4538667 0.4543809 0.4545455 0.4547923 0.4553065 0.4557178
[1940] 0.4559852 0.4564582 0.4566022 0.4567256 0.4572604 0.4574866 0.4578363
[1947] 0.4585767 0.4587618 0.4590086 0.4595640 0.4599136 0.4602838 0.4608803
[1954] 0.4609831 0.4611477 0.4621555 0.4625257 0.4628342 0.4636364 0.4637598
[1961] 0.4640477 0.4646647 0.4650144 0.4652818 0.4656726 0.4657960 0.4659399
[1968] 0.4667421 0.4670300 0.4672768 0.4680173 0.4680995 0.4683258 0.4687371
[1975] 0.4691485 0.4695187 0.4701152 0.4703209 0.4704854 0.4713698 0.4717812
[1982] 0.4721308 0.4730564 0.4731386 0.4733649 0.4740847 0.4743727 0.4749074
[1989] 0.4754628 0.4756273 0.4759564 0.4766763 0.4770465 0.4772316 0.4777869
[1996] 0.4779515 0.4780543 0.4785891 0.4788770 0.4792678 0.4798848 0.4800905
[2003] 0.4801522 0.4808309 0.4812423 0.4815714 0.4824146 0.4825381 0.4826615
[2010] 0.4833813 0.4836898 0.4841835 0.4849033 0.4851296 0.4853353 0.4859934
[2017] 0.4863225 0.4865693 0.4872069 0.4873097 0.4874743 0.4881942 0.4885027
[2024] 0.4888729 0.4895105 0.4897367 0.4899424 0.4904977 0.4908885 0.4911970
[2031] 0.4917318 0.4918552 0.4919580 0.4926368 0.4928630 0.4932949 0.4941999
[2038] 0.4944467 0.4945907 0.4952077 0.4957014 0.4960716 0.4965652 0.4967503
[2045] 0.4969148 0.4976347 0.4979227 0.4982517 0.4991156 0.4991979 0.4993418
[2052] 0.4998149 0.5000000 0.5001851 0.5006582 0.5008021 0.5008844 0.5017483
[2059] 0.5020773 0.5023653 0.5030852 0.5032497 0.5034348 0.5039284 0.5042986
[2066] 0.5047923 0.5054093 0.5055533 0.5058001 0.5067051 0.5071370 0.5073632
[2073] 0.5080420 0.5081448 0.5082682 0.5088030 0.5091115 0.5095023 0.5100576
[2080] 0.5102633 0.5104895 0.5111271 0.5114973 0.5118058 0.5125257 0.5126903
[2087] 0.5127931 0.5134307 0.5136775 0.5140066 0.5146647 0.5148704 0.5150967
[2094] 0.5158165 0.5163102 0.5166187 0.5173385 0.5174619 0.5175854 0.5184286
[2101] 0.5187577 0.5191691 0.5198478 0.5199095 0.5201152 0.5207322 0.5211230
[2108] 0.5214109 0.5219457 0.5220485 0.5222131 0.5227684 0.5229535 0.5233237
[2115] 0.5240436 0.5243727 0.5245372 0.5250926 0.5256273 0.5259153 0.5266351
[2122] 0.5268614 0.5269436 0.5278692 0.5282188 0.5286302 0.5295146 0.5296791
[2129] 0.5298848 0.5304813 0.5308515 0.5312629 0.5316742 0.5319005 0.5319827
[2136] 0.5327232 0.5329700 0.5332579 0.5340601 0.5342040 0.5343274 0.5347182
[2143] 0.5349856 0.5353353 0.5359523 0.5362402 0.5363636 0.5371658 0.5374743
[2150] 0.5378445 0.5388523 0.5390169 0.5391197 0.5397162 0.5400864 0.5404360
[2157] 0.5409914 0.5412382 0.5414233 0.5421637 0.5425134 0.5427396 0.5432744
[2164] 0.5433978 0.5435418 0.5440148 0.5442822 0.5446935 0.5452077 0.5454545
[2171] 0.5456191 0.5461333 0.5464007 0.5466886 0.5475524 0.5476964 0.5477376
[2178] 0.5483135 0.5486220 0.5491362 0.5499383 0.5501440 0.5503702 0.5510284
[2185] 0.5514192 0.5517277 0.5524681 0.5525504 0.5527355 0.5534965 0.5536610
[2192] 0.5538256 0.5543603 0.5545660 0.5547100 0.5552242 0.5556972 0.5559029
[2199] 0.5564171 0.5566022 0.5566845 0.5572604 0.5575278 0.5579597 0.5590086
[2206] 0.5591937 0.5594611 0.5600370 0.5604484 0.5608803 0.5614356 0.5615796
[2213] 0.5617030 0.5625051 0.5627520 0.5631633 0.5639449 0.5641300 0.5643357
[2220] 0.5647470 0.5651995 0.5655492 0.5660839 0.5662485 0.5663719 0.5671740
[2227] 0.5674825 0.5677088 0.5685932 0.5688194 0.5689428 0.5693542 0.5697038
[2234] 0.5702592 0.5708762 0.5712464 0.5713081 0.5722131 0.5726244 0.5729535
[2241] 0.5738174 0.5738996 0.5740642 0.5745578 0.5748663 0.5752571 0.5757919
[2248] 0.5759975 0.5762032 0.5768614 0.5770465 0.5772727 0.5780337 0.5782394
[2255] 0.5783422 0.5788359 0.5791444 0.5796997 0.5802550 0.5805841 0.5807075
[2262] 0.5812629 0.5816948 0.5820033 0.5827643 0.5829494 0.5830111 0.5836693
[2269] 0.5839367 0.5843891 0.5851501 0.5854792 0.5855615 0.5862197 0.5865693
[2276] 0.5868161 0.5875154 0.5876594 0.5877211 0.5882353 0.5884410 0.5888318
[2283] 0.5894488 0.5897162 0.5899013 0.5903949 0.5906623 0.5909297 0.5916495
[2290] 0.5918141 0.5919375 0.5927190 0.5929659 0.5933155 0.5941382 0.5944056
[2297] 0.5945290 0.5950432 0.5954134 0.5957631 0.5961538 0.5962978 0.5963595
[2304] 0.5969560 0.5971822 0.5975936 0.5984574 0.5986425 0.5988688 0.5992184
[2311] 0.5994652 0.5997326 0.6003085 0.6006787 0.6007816 0.6015426 0.6018100
[2318] 0.6021596 0.6031469 0.6033114 0.6034142 0.6038873 0.6041752 0.6046483
[2325] 0.6052653 0.6054299 0.6056150 0.6063965 0.6068079 0.6069724 0.6076512
[2332] 0.6078157 0.6079597 0.6084122 0.6086590 0.6091115 0.6096257 0.6098313
[2339] 0.6099753 0.6105101 0.6108186 0.6111065 0.6119498 0.6121555 0.6122583
[2346] 0.6126903 0.6129576 0.6134307 0.6142328 0.6145002 0.6146236 0.6152201
[2353] 0.6156314 0.6159399 0.6167832 0.6169478 0.6170712 0.6178322 0.6180790
[2360] 0.6185932 0.6192102 0.6194570 0.6196421 0.6201563 0.6204854 0.6207939
[2367] 0.6213698 0.6214932 0.6215549 0.6220897 0.6222336 0.6226450 0.6237557
[2374] 0.6240642 0.6241053 0.6245989 0.6250926 0.6254628 0.6262032 0.6264295
[2381] 0.6264912 0.6271493 0.6273961 0.6278281 0.6286302 0.6288153 0.6290004
[2388] 0.6294118 0.6296174 0.6298848 0.6303167 0.6305636 0.6306047 0.6312629
[2395] 0.6314480 0.6317976 0.6326203 0.6328671 0.6329288 0.6332168 0.6334225
[2402] 0.6339778 0.6345948 0.6348416 0.6349033 0.6356438 0.6358906 0.6363019
[2409] 0.6372480 0.6373920 0.6374743 0.6379062 0.6382559 0.6386672 0.6392225
[2416] 0.6394694 0.6396545 0.6402509 0.6405800 0.6407857 0.6415056 0.6416907
[2423] 0.6417318 0.6421020 0.6422871 0.6425545 0.6430893 0.6433978 0.6435006
[2430] 0.6439325 0.6442822 0.6445907 0.6452694 0.6454751 0.6455368 0.6461127
[2437] 0.6463595 0.6468531 0.6475524 0.6477170 0.6479227 0.6486014 0.6488482
[2444] 0.6491567 0.6499177 0.6500000 0.6501028 0.6506787 0.6508227 0.6511518
[2451] 0.6518305 0.6521390 0.6522213 0.6526532 0.6531469 0.6534142 0.6540724
[2458] 0.6542986 0.6543192 0.6549362 0.6551625 0.6554916 0.6563760 0.6566434
[2465] 0.6568285 0.6573427 0.6577540 0.6581037 0.6585973 0.6589058 0.6589469
[2472] 0.6596051 0.6598313 0.6601810 0.6611271 0.6612711 0.6613534 0.6617030
[2479] 0.6619910 0.6624023 0.6628548 0.6631633 0.6632456 0.6639037 0.6640683
[2486] 0.6643768 0.6653229 0.6655492 0.6656314 0.6660016 0.6663102 0.6667215
[2493] 0.6673591 0.6676882 0.6684698 0.6688194 0.6691485 0.6699712 0.6701357
[2500] 0.6702180 0.6706088 0.6708762 0.6713698 0.6719457 0.6722542 0.6723982
[2507] 0.6729124 0.6731386 0.6733032 0.6740642 0.6742493 0.6743110 0.6746606
[2514] 0.6748869 0.6753599 0.6759770 0.6763472 0.6764295 0.6769025 0.6771493
[2521] 0.6774784 0.6783217 0.6785068 0.6785479 0.6791444 0.6793089 0.6796174
[2528] 0.6802962 0.6805841 0.6806664 0.6810983 0.6814274 0.6816948 0.6822912
[2535] 0.6824352 0.6824558 0.6829494 0.6830934 0.6834430 0.6843069 0.6845742
[2542] 0.6847182 0.6851090 0.6853558 0.6856026 0.6863225 0.6865076 0.6865693
[2549] 0.6870835 0.6872686 0.6876800 0.6884821 0.6887701 0.6889140 0.6893254
[2556] 0.6897162 0.6901275 0.6905183 0.6907034 0.6907857 0.6914439 0.6916290
[2563] 0.6918758 0.6925751 0.6928219 0.6928836 0.6930893 0.6933155 0.6936240
[2570] 0.6941794 0.6945496 0.6945701 0.6951666 0.6954957 0.6958042 0.6968943
[2577] 0.6970383 0.6971822 0.6975524 0.6978815 0.6982723 0.6988893 0.6990950
[2584] 0.6992390 0.6999177 0.7001645 0.7003497 0.7009872 0.7011724 0.7011929
[2591] 0.7016043 0.7018511 0.7022830 0.7027561 0.7031057 0.7031674 0.7035788
[2598] 0.7038462 0.7040930 0.7048951 0.7051625 0.7052036 0.7056150 0.7058824
[2605] 0.7064788 0.7072193 0.7076100 0.7076717 0.7082682 0.7086796 0.7089881
[2612] 0.7097079 0.7098725 0.7099342 0.7104278 0.7106335 0.7109420 0.7115385
[2619] 0.7119292 0.7119910 0.7123612 0.7125257 0.7127314 0.7133896 0.7136981
[2626] 0.7141094 0.7142534 0.7147265 0.7155286 0.7158371 0.7158577 0.7163102
[2633] 0.7166804 0.7170712 0.7176676 0.7178527 0.7179144 0.7185315 0.7186960
[2640] 0.7190662 0.7199301 0.7201974 0.7203209 0.7206294 0.7208556 0.7210407
[2647] 0.7214109 0.7217812 0.7218017 0.7221925 0.7223776 0.7227273 0.7234266
[2654] 0.7237557 0.7237968 0.7240230 0.7241876 0.7245784 0.7251748 0.7254833
[2661] 0.7255862 0.7263060 0.7265529 0.7268202 0.7276429 0.7278692 0.7279515
[2668] 0.7283011 0.7284657 0.7288359 0.7293501 0.7295557 0.7296380 0.7300494
[2675] 0.7303167 0.7305224 0.7312423 0.7314274 0.7315097 0.7318182 0.7319827
[2682] 0.7322090 0.7328260 0.7331345 0.7332168 0.7336693 0.7339367 0.7342040
[2689] 0.7349650 0.7352324 0.7357672 0.7360140 0.7365282 0.7371863 0.7374537
[2696] 0.7375977 0.7379062 0.7382353 0.7384821 0.7391403 0.7393459 0.7394488
[2703] 0.7398190 0.7398807 0.7402509 0.7409297 0.7412587 0.7413204 0.7416907
[2710] 0.7420403 0.7424105 0.7430481 0.7432538 0.7432744 0.7437063 0.7438914
[2717] 0.7442411 0.7450843 0.7453723 0.7454134 0.7458042 0.7460921 0.7463390
[2724] 0.7468531 0.7471822 0.7477376 0.7479638 0.7483752 0.7491362 0.7493624
[2731] 0.7494447 0.7496503 0.7498355 0.7502057 0.7506376 0.7508844 0.7509255
[2738] 0.7513780 0.7514603 0.7517894 0.7528383 0.7531263 0.7531674 0.7534142
[2745] 0.7536816 0.7541341 0.7547306 0.7551831 0.7552242 0.7557795 0.7560263
[2752] 0.7563554 0.7569724 0.7571370 0.7574866 0.7576100 0.7579391 0.7584122
[2759] 0.7586796 0.7587207 0.7590703 0.7592143 0.7593994 0.7602016 0.7604689
[2766] 0.7607569 0.7609420 0.7613945 0.7620527 0.7623817 0.7624640 0.7628959
[2773] 0.7631016 0.7633896 0.7640889 0.7642740 0.7643357 0.7647265 0.7648293
[2780] 0.7651378 0.7656109 0.7659399 0.7660016 0.7663513 0.7665775 0.7668449
[2787] 0.7673797 0.7676676 0.7679967 0.7680790 0.7684081 0.7690868 0.7694776
[2794] 0.7695804 0.7698684 0.7702180 0.7704854 0.7710819 0.7713492 0.7714109
[2801] 0.7718634 0.7720485 0.7723776 0.7732003 0.7733649 0.7734677 0.7737762
[2808] 0.7739613 0.7742493 0.7745784 0.7747635 0.7748046 0.7752160 0.7753394
[2815] 0.7755245 0.7761621 0.7764706 0.7765117 0.7766763 0.7769642 0.7772522
[2822] 0.7778281 0.7781571 0.7787536 0.7790415 0.7793706 0.7803373 0.7805224
[2829] 0.7806047 0.7808721 0.7810160 0.7814685 0.7819827 0.7822912 0.7823529
[2836] 0.7827232 0.7828260 0.7829494 0.7835870 0.7837515 0.7839984 0.7842040
[2843] 0.7846154 0.7851501 0.7855821 0.7856232 0.7860346 0.7861991 0.7865076
[2850] 0.7873509 0.7875977 0.7880296 0.7881736 0.7886261 0.7892225 0.7895311
[2857] 0.7895722 0.7898601 0.7900864 0.7903538 0.7910325 0.7911970 0.7912382
[2864] 0.7914233 0.7915673 0.7918346 0.7923694 0.7927602 0.7928013 0.7930481
[2871] 0.7931510 0.7933155 0.7939120 0.7941588 0.7944673 0.7945290 0.7950226
[2878] 0.7957219 0.7961538 0.7964624 0.7967297 0.7970794 0.7975936 0.7977170
[2885] 0.7977581 0.7981489 0.7982723 0.7985397 0.7992596 0.7995269 0.7996298
[2892] 0.7997943 0.7999589 0.8001234 0.8004525 0.8007610 0.8007816 0.8011518
[2899] 0.8013575 0.8016248 0.8024681 0.8027149 0.8027561 0.8029412 0.8031057
[2906] 0.8033525 0.8038667 0.8041752 0.8041958 0.8046689 0.8048128 0.8049979
[2913] 0.8056355 0.8059029 0.8061703 0.8063965 0.8067873 0.8072604 0.8074044
[2920] 0.8074661 0.8078157 0.8080008 0.8081448 0.8088235 0.8090292 0.8090703
[2927] 0.8092966 0.8093994 0.8097902 0.8103455 0.8108392 0.8108803 0.8112505
[2934] 0.8114973 0.8117236 0.8124434 0.8126903 0.8130399 0.8132456 0.8135747
[2941] 0.8140271 0.8143357 0.8143768 0.8147470 0.8149321 0.8151378 0.8156520
[2948] 0.8158782 0.8159194 0.8161868 0.8162690 0.8166187 0.8171740 0.8175031
[2955] 0.8175442 0.8176882 0.8179350 0.8182230 0.8187988 0.8190251 0.8192925
[2962] 0.8193747 0.8197655 0.8205882 0.8209379 0.8209585 0.8212670 0.8214521
[2969] 0.8216166 0.8220280 0.8222954 0.8226656 0.8227890 0.8231181 0.8236940
[2976] 0.8240642 0.8241053 0.8242287 0.8243521 0.8246195 0.8250720 0.8254628
[2983] 0.8255245 0.8258741 0.8260181 0.8262649 0.8270876 0.8273139 0.8273550
[2990] 0.8274784 0.8276224 0.8279926 0.8284451 0.8287125 0.8287536 0.8291032
[2997] 0.8291855 0.8294735 0.8299877 0.8302139 0.8303990 0.8304401 0.8306047
[3004] 0.8309955 0.8314685 0.8315097 0.8317359 0.8318799 0.8320239 0.8328054
[3011] 0.8331139 0.8333608 0.8335253 0.8338955 0.8344714 0.8346977 0.8347799
[3018] 0.8350679 0.8352324 0.8354175 0.8360140 0.8361785 0.8362402 0.8364459
[3025] 0.8364665 0.8367133 0.8370629 0.8374126 0.8374332 0.8375977 0.8378651
[3032] 0.8380913 0.8385849 0.8388112 0.8390580 0.8391814 0.8394694 0.8401070
[3039] 0.8404772 0.8404977 0.8407445 0.8409502 0.8411765 0.8416495 0.8419169
[3046] 0.8422460 0.8423900 0.8427190 0.8434183 0.8435829 0.8436446 0.8437680
[3053] 0.8439531 0.8441382 0.8444467 0.8446524 0.8446730 0.8450226 0.8450432
[3060] 0.8452694 0.8461127 0.8464007 0.8465858 0.8467914 0.8471822 0.8476142
[3067] 0.8479638 0.8483135 0.8485191 0.8488071 0.8494241 0.8495886 0.8496298
[3074] 0.8497738 0.8499177 0.8502262 0.8506582 0.8510695 0.8511107 0.8513986
[3081] 0.8514809 0.8516454 0.8522419 0.8525093 0.8526121 0.8526532 0.8531057
[3088] 0.8535582 0.8539079 0.8541958 0.8542164 0.8544220 0.8551419 0.8553887
[3095] 0.8556972 0.8558001 0.8560880 0.8564788 0.8568285 0.8568696 0.8570958
[3102] 0.8572810 0.8575072 0.8580420 0.8581654 0.8583093 0.8583505 0.8585973
[3109] 0.8590086 0.8593994 0.8594611 0.8595023 0.8596051 0.8597696 0.8602221
[3116] 0.8605512 0.8605718 0.8607363 0.8607775 0.8611065 0.8617236 0.8621555
[3123] 0.8624434 0.8626080 0.8628342 0.8632044 0.8633690 0.8634101 0.8637186
[3130] 0.8637803 0.8639860 0.8645825 0.8648087 0.8648704 0.8649321 0.8650350
[3137] 0.8651789 0.8655286 0.8657548 0.8657754 0.8659811 0.8660839 0.8662896
[3144] 0.8669066 0.8670917 0.8671329 0.8671740 0.8673180 0.8675648 0.8679967
[3151] 0.8683669 0.8683875 0.8687166 0.8688400 0.8689223 0.8695393 0.8697450
[3158] 0.8699301 0.8700535 0.8704854 0.8707733 0.8711024 0.8711230 0.8713081
[3165] 0.8714109 0.8716166 0.8721925 0.8724188 0.8724393 0.8725422 0.8726244
[3172] 0.8728712 0.8733854 0.8736940 0.8739202 0.8740847 0.8743316 0.8750103
[3179] 0.8751543 0.8753805 0.8754833 0.8758536 0.8762032 0.8764912 0.8766968
[3186] 0.8767791 0.8768408 0.8772522 0.8774578 0.8776018 0.8776635 0.8779515
[3193] 0.8784657 0.8789181 0.8789387 0.8790621 0.8792061 0.8794940 0.8799671
[3200] 0.8801316 0.8803784 0.8807281 0.8813451 0.8816331 0.8816536 0.8817770
[3207] 0.8818799 0.8820444 0.8823118 0.8825792 0.8828260 0.8829083 0.8830934
[3214] 0.8837721 0.8841012 0.8842246 0.8843069 0.8844303 0.8847799 0.8851090
[3221] 0.8853353 0.8854381 0.8856232 0.8861374 0.8863842 0.8864253 0.8864870
[3228] 0.8865693 0.8868778 0.8872069 0.8873303 0.8873715 0.8876183 0.8876800
[3235] 0.8877828 0.8881942 0.8884410 0.8885644 0.8887906 0.8891197 0.8894899
[3242] 0.8896956 0.8898396 0.8899835 0.8906211 0.8908268 0.8910325 0.8912176
[3249] 0.8914439 0.8918141 0.8920609 0.8921226 0.8922460 0.8923694 0.8924722
[3256] 0.8929453 0.8931098 0.8931304 0.8932538 0.8932744 0.8934389 0.8938091
[3263] 0.8940148 0.8940971 0.8941999 0.8943645 0.8947347 0.8948787 0.8950432
[3270] 0.8953517 0.8959070 0.8962978 0.8963184 0.8965652 0.8967297 0.8968737
[3277] 0.8972028 0.8974085 0.8975936 0.8977170 0.8979844 0.8985603 0.8987659
[3284] 0.8987865 0.8988071 0.8988893 0.8991156 0.8994652 0.8998149 0.8999589
[3291] 0.9001234 0.9006582 0.9009461 0.9009667 0.9010490 0.9013575 0.9017071
[3298] 0.9020568 0.9023447 0.9024476 0.9026944 0.9032703 0.9034554 0.9035993
[3305] 0.9036816 0.9038256 0.9040107 0.9043603 0.9043809 0.9044632 0.9045043
[3312] 0.9046483 0.9049979 0.9052448 0.9052859 0.9055738 0.9059441 0.9062731
[3319] 0.9062937 0.9064582 0.9065405 0.9066434 0.9072398 0.9075072 0.9076923
[3326] 0.9077129 0.9079186 0.9082271 0.9085561 0.9087207 0.9088852 0.9090086
[3333] 0.9092760 0.9093789 0.9095023 0.9095640 0.9096257 0.9099342 0.9102633
[3340] 0.9102838 0.9103250 0.9104072 0.9104895 0.9109009 0.9111888 0.9113945
[3347] 0.9114562 0.9117030 0.9122583 0.9125463 0.9126697 0.9128137 0.9129576
[3354] 0.9131222 0.9132250 0.9134718 0.9135130 0.9135952 0.9140066 0.9142534
[3361] 0.9142740 0.9143562 0.9144796 0.9146647 0.9149116 0.9151584 0.9153229
[3368] 0.9154258 0.9156520 0.9161662 0.9162896 0.9163513 0.9163924 0.9166392
[3375] 0.9169683 0.9173180 0.9175442 0.9176059 0.9176676 0.9180378 0.9182435
[3382] 0.9183464 0.9184286 0.9186137 0.9187988 0.9190868 0.9191074 0.9192513
[3389] 0.9192719 0.9193747 0.9199095 0.9201769 0.9202797 0.9203414 0.9206294
[3396] 0.9209379 0.9212464 0.9212670 0.9213081 0.9213698 0.9215961 0.9220280
[3403] 0.9220897 0.9221925 0.9223982 0.9227273 0.9230769 0.9232003 0.9232415
[3410] 0.9232620 0.9236117 0.9238791 0.9239613 0.9239819 0.9242081 0.9246606
[3417] 0.9250720 0.9251748 0.9252982 0.9254628 0.9257919 0.9259564 0.9259770
[3424] 0.9260592 0.9260798 0.9262443 0.9266146 0.9269025 0.9269231 0.9270259
[3431] 0.9272522 0.9274990 0.9276018 0.9277869 0.9282394 0.9285068 0.9285479
[3438] 0.9286302 0.9287742 0.9290004 0.9293295 0.9295352 0.9296174 0.9296997
[3445] 0.9300905 0.9302962 0.9303373 0.9304196 0.9306458 0.9308104 0.9309749
[3452] 0.9309955 0.9310366 0.9311189 0.9312012 0.9314685 0.9316948 0.9318593
[3459] 0.9321473 0.9324352 0.9325998 0.9327232 0.9328466 0.9332785 0.9334430
[3466] 0.9335870 0.9336898 0.9338749 0.9341012 0.9343274 0.9344097 0.9344920
[3473] 0.9345331 0.9348005 0.9349239 0.9350473 0.9350679 0.9352735 0.9355204
[3480] 0.9358083 0.9358494 0.9359317 0.9361374 0.9365076 0.9365899 0.9367750
[3487] 0.9369601 0.9374332 0.9377828 0.9379268 0.9380090 0.9380913 0.9382970
[3494] 0.9386055 0.9387289 0.9387906 0.9389757 0.9392431 0.9393871 0.9394077
[3501] 0.9394282 0.9394899 0.9396339 0.9398807 0.9399630 0.9401070 0.9405800
[3508] 0.9409502 0.9409914 0.9412176 0.9415261 0.9417318 0.9418963 0.9419375
[3515] 0.9420814 0.9423694 0.9425339 0.9426162 0.9426573 0.9427396 0.9428013
[3522] 0.9430687 0.9430893 0.9431510 0.9432127 0.9432538 0.9436446 0.9438708
[3529] 0.9438914 0.9439325 0.9441176 0.9443645 0.9446524 0.9446730 0.9447552
[3536] 0.9451049 0.9452694 0.9453517 0.9454340 0.9457014 0.9458248 0.9459276
[3543] 0.9459893 0.9460304 0.9462567 0.9463184 0.9464007 0.9464212 0.9465858
[3550] 0.9468737 0.9471822 0.9472234 0.9473056 0.9473879 0.9476759 0.9478404
[3557] 0.9478610 0.9478815 0.9480666 0.9484780 0.9486425 0.9486837 0.9487248
[3564] 0.9488893 0.9490539 0.9492596 0.9493624 0.9494035 0.9497326 0.9499383
[3571] 0.9499589 0.9500411 0.9501851 0.9503291 0.9505759 0.9506582 0.9507199
[3578] 0.9509255 0.9512752 0.9513780 0.9513986 0.9515837 0.9517894 0.9519745
[3585] 0.9520568 0.9520979 0.9521802 0.9524681 0.9526738 0.9526944 0.9527355
[3592] 0.9529000 0.9531263 0.9534554 0.9535788 0.9536405 0.9536610 0.9539284
[3599] 0.9541547 0.9542369 0.9542781 0.9544426 0.9545455 0.9548540 0.9548951
[3606] 0.9550596 0.9553270 0.9553682 0.9554504 0.9555327 0.9556767 0.9560469
[3613] 0.9560880 0.9561086 0.9563760 0.9566228 0.9567256 0.9567668 0.9568490
[3620] 0.9571575 0.9573838 0.9574866 0.9575689 0.9575895 0.9577334 0.9578363
[3627] 0.9578980 0.9579186 0.9580008 0.9581654 0.9584327 0.9584739 0.9585561
[3634] 0.9586384 0.9587618 0.9587824 0.9588030 0.9589264 0.9592760 0.9594406
[3641] 0.9594817 0.9595640 0.9597491 0.9600165 0.9601604 0.9602016 0.9604689
[3648] 0.9605718 0.9606129 0.9606746 0.9607569 0.9608186 0.9609009 0.9609420
[3655] 0.9609626 0.9610037 0.9613328 0.9614768 0.9614973 0.9616619 0.9618881
[3662] 0.9621349 0.9621555 0.9622583 0.9625463 0.9626080 0.9626491 0.9626903
[3669] 0.9628754 0.9631016 0.9633690 0.9634307 0.9634718 0.9634924 0.9636569
[3676] 0.9638626 0.9638832 0.9640477 0.9642534 0.9645619 0.9647059 0.9650144
[3683] 0.9651172 0.9652201 0.9655492 0.9657960 0.9658371 0.9658782 0.9659399
[3690] 0.9660633 0.9661662 0.9662279 0.9662485 0.9663719 0.9665570 0.9667626
[3697] 0.9668038 0.9668655 0.9669066 0.9672151 0.9672357 0.9673385 0.9676265
[3704] 0.9679350 0.9680790 0.9683052 0.9684286 0.9685315 0.9685726 0.9686137
[3711] 0.9688194 0.9689428 0.9689840 0.9690045 0.9690868 0.9692925 0.9693336
[3718] 0.9693747 0.9693953 0.9695187 0.9696216 0.9696421 0.9697038 0.9698272
[3725] 0.9698889 0.9700535 0.9700740 0.9701357 0.9703826 0.9705060 0.9705677
[3732] 0.9706911 0.9708350 0.9711230 0.9711436 0.9711641 0.9712258 0.9713904
[3739] 0.9714932 0.9715343 0.9715755 0.9716989 0.9719251 0.9719868 0.9720485
[3746] 0.9720897 0.9721719 0.9723159 0.9723365 0.9723571 0.9725216 0.9726861
[3753] 0.9727684 0.9728301 0.9729329 0.9730975 0.9731386 0.9731798 0.9734471
[3760] 0.9736734 0.9736940 0.9737351 0.9738379 0.9740025 0.9740847 0.9741670
[3767] 0.9744344 0.9745784 0.9745989 0.9746812 0.9747635 0.9750103 0.9750720
[3774] 0.9753599 0.9754422 0.9755450 0.9757507 0.9759564 0.9759770 0.9761621
[3781] 0.9763677 0.9763883 0.9764706 0.9765940 0.9767585 0.9767791 0.9768408
[3788] 0.9769642 0.9770053 0.9771288 0.9772727 0.9774784 0.9775401 0.9777869
[3795] 0.9778898 0.9779720 0.9781983 0.9783628 0.9784245 0.9784862 0.9785479
[3802] 0.9786302 0.9786508 0.9786713 0.9787947 0.9789181 0.9790004 0.9790210
[3809] 0.9791238 0.9791444 0.9792884 0.9795352 0.9795763 0.9796586 0.9798231
[3816] 0.9799260 0.9799877 0.9800082 0.9800288 0.9802139 0.9802962 0.9803167
[3823] 0.9803373 0.9804401 0.9805019 0.9806664 0.9807487 0.9808926 0.9810160
[3830] 0.9810777 0.9814068 0.9815097 0.9817565 0.9817976 0.9818387 0.9819005
[3837] 0.9819827 0.9821267 0.9821473 0.9821678 0.9822090 0.9823735 0.9824146
[3844] 0.9824558 0.9827026 0.9827232 0.9827437 0.9828466 0.9829494 0.9830317
[3851] 0.9831962 0.9834019 0.9834225 0.9835047 0.9835459 0.9835870 0.9837310
[3858] 0.9838749 0.9841012 0.9841218 0.9841423 0.9841629 0.9843686 0.9844714
[3865] 0.9845537 0.9846565 0.9846977 0.9847182 0.9848828 0.9849445 0.9849856
[3872] 0.9851090 0.9852118 0.9853353 0.9853970 0.9854175 0.9855409 0.9856438
[3879] 0.9858083 0.9858494 0.9859317 0.9860140 0.9860551 0.9861580 0.9862608
[3886] 0.9862814 0.9863431 0.9865487 0.9865899 0.9866310 0.9867750 0.9869601
[3893] 0.9870012 0.9870218 0.9871041 0.9871863 0.9873303 0.9874126 0.9874332
[3900] 0.9874743 0.9875771 0.9875977 0.9876594 0.9878445 0.9880502 0.9881119
[3907] 0.9882147 0.9883381 0.9883587 0.9884204 0.9885438 0.9885849 0.9887906
[3914] 0.9888318 0.9888729 0.9889140 0.9889757 0.9890374 0.9891608 0.9892842
[3921] 0.9894077 0.9894282 0.9894694 0.9896133 0.9896339 0.9896956 0.9898807
[3928] 0.9899218 0.9900041 0.9901070 0.9901481 0.9902921 0.9903332 0.9903538
[3935] 0.9903743 0.9904360 0.9904566 0.9905389 0.9906828 0.9908063 0.9908680
[3942] 0.9910325 0.9910942 0.9911559 0.9912587 0.9914027 0.9914644 0.9914850
[3949] 0.9915261 0.9915878 0.9916907 0.9917318 0.9919169 0.9919580 0.9920403
[3956] 0.9922049 0.9922666 0.9923900 0.9924105 0.9924517 0.9925134 0.9926162
[3963] 0.9926573 0.9927396 0.9929042 0.9929453 0.9930070 0.9930481 0.9931304
[3970] 0.9932332 0.9932538 0.9932949 0.9933155 0.9933566 0.9934595 0.9935006
[3977] 0.9935212 0.9935418 0.9936446 0.9937063 0.9937474 0.9938297 0.9938503
[3984] 0.9938914 0.9939325 0.9939737 0.9941176 0.9941382 0.9941794 0.9942205
[3991] 0.9942411 0.9943233 0.9943645 0.9944879 0.9945084 0.9945290 0.9946318
[3998] 0.9946935 0.9947141 0.9947758 0.9949609 0.9950226 0.9950638 0.9951049
[4005] 0.9952283 0.9952489 0.9953928 0.9954751 0.9955368 0.9956191 0.9956602
[4012] 0.9956808 0.9957631 0.9958248 0.9958659 0.9959070 0.9959482 0.9959893
[4019] 0.9960099 0.9961127 0.9961538 0.9961950 0.9962155 0.9962361 0.9963390
[4026] 0.9963801 0.9964418 0.9965035 0.9965241 0.9965446 0.9965858 0.9967092
[4033] 0.9967297 0.9968531 0.9968943 0.9969148 0.9969971 0.9970177 0.9970383
[4040] 0.9971205 0.9972645 0.9973468 0.9973879 0.9974085 0.9974290 0.9975113
[4047] 0.9975319 0.9976142 0.9976759 0.9976964 0.9978198 0.9978610 0.9979021
[4054] 0.9979227 0.9979638 0.9979844 0.9980666 0.9980872 0.9981489 0.9981900
[4061] 0.9982517 0.9982723 0.9983135 0.9983340 0.9983546 0.9984163 0.9984574
[4068] 0.9985397 0.9985808 0.9986014 0.9986631 0.9987042 0.9987248 0.9988071
[4075] 0.9988688 0.9989099 0.9989305 0.9989716 0.9990950 0.9991362 0.9991567
[4082] 0.9991773 0.9992184 0.9992596 0.9993007 0.9993213 0.9993418 0.9993624
[4089] 0.9994035 0.9994241 0.9994447 0.9994858 0.9995269 0.9995886 0.9996503
[4096] 0.9996915 0.9997326 0.9997532 0.9997943 0.9998355 0.9998560 0.9998972
[4103] 0.9999177 0.9999589 0.9999794 1.0000000
> round(qp_it1_vdW <- qperm(it1_vdW, seq(0, 1, 0.01)), 7)
[1] -10.0000000 -2.2408882 -2.0193392 -1.8687838 -1.7525012 -1.6582511
[7] -1.5731812 -1.4942314 -1.4281340 -1.3669326 -1.3100153 -1.2555461
[13] -1.2016889 -1.1563999 -1.1086628 -1.0652098 -1.0229809 -0.9813640
[19] -0.9434191 -0.9066983 -0.8693655 -0.8320326 -0.7965358 -0.7647111
[25] -0.7292143 -0.6980016 -0.6674009 -0.6355762 -0.6019155 -0.5743749
[31] -0.5443862 -0.5143975 -0.4844088 -0.4550322 -0.4287156 -0.3999509
[37] -0.3724103 -0.3436457 -0.3173291 -0.2928486 -0.2640839 -0.2377673
[43] -0.2090027 -0.1839101 -0.1582055 -0.1306649 -0.1037363 -0.0786438
[49] -0.0529392 -0.0253986 -0.0003060 0.0253986 0.0529392 0.0786438
[55] 0.1037363 0.1306649 0.1582055 0.1839101 0.2090027 0.2377673
[61] 0.2640839 0.2928486 0.3173291 0.3436457 0.3724103 0.3999510
[67] 0.4287156 0.4550322 0.4844088 0.5143975 0.5443862 0.5743749
[73] 0.6019155 0.6355762 0.6674009 0.6980016 0.7292143 0.7647111
[79] 0.7965358 0.8320326 0.8693655 0.9066983 0.9434191 0.9813640
[85] 1.0229809 1.0652098 1.1086628 1.1563999 1.2016889 1.2555461
[91] 1.3100153 1.3669326 1.4281340 1.4942314 1.5731812 1.6582511
[97] 1.7525012 1.8687838 2.0193392 2.2408881 10.0000000
> round(rp_it1_vdW <- rperm(it1_vdW, 5), 7)
[1] 0.4464640 -0.5639706 -0.1643257 -0.5388781 -1.0413413
>
> ### should be equal
> stopifnot(isequal(pp_it1_SR, pp_it1_vdW))
> ## <FIXME> Doesn't pass under Solaris or Linux w/o long doubles
> ## stopifnot(isequal(qp_it1_SR[-c(1, 101)], qp_it1_vdW[-c(1, 101)]))
> ## </FIXME>
> stopifnot(isequal(pvalue(it1_SR), pvalue(it1_vdW)))
>
> ### shift with block
> it2_SR <- independence_test(y ~ x | b, data = dta1,
+ distribution = exact(algorithm = "shift"))
> supp_it2_SR <- support(it2_SR)
> stopifnot(!is.unsorted(supp_it2_SR)) # failed in < 1.1-0
> stopifnot(all(supp_it2_SR == unique(supp_it2_SR))) # failed in < 1.1-0
> round(pp_it2_SR <- pperm(it2_SR, supp_it2_SR), 7)
[1] 0.0019531 0.0039063 0.0058594 0.0078125 0.0097656 0.0117188 0.0136719
[8] 0.0156250 0.0175781 0.0195312 0.0214844 0.0234375 0.0253906 0.0273438
[15] 0.0292969 0.0312500 0.0332031 0.0351562 0.0371094 0.0390625 0.0410156
[22] 0.0429688 0.0449219 0.0468750 0.0488281 0.0507812 0.0527344 0.0546875
[29] 0.0566406 0.0585938 0.0605469 0.0625000 0.0644531 0.0664062 0.0683594
[36] 0.0703125 0.0722656 0.0742188 0.0761719 0.0781250 0.0800781 0.0820312
[43] 0.0839844 0.0859375 0.0878906 0.0898438 0.0917969 0.0937500 0.0957031
[50] 0.0996094 0.1015625 0.1035156 0.1054688 0.1074219 0.1093750 0.1113281
[57] 0.1132812 0.1152344 0.1171875 0.1191406 0.1210938 0.1250000 0.1269531
[64] 0.1289062 0.1308594 0.1328125 0.1347656 0.1367188 0.1386719 0.1406250
[71] 0.1425781 0.1445312 0.1464844 0.1503906 0.1523438 0.1542969 0.1562500
[78] 0.1582031 0.1601562 0.1621094 0.1640625 0.1660156 0.1679688 0.1699219
[85] 0.1718750 0.1757812 0.1777344 0.1796875 0.1816406 0.1835938 0.1855469
[92] 0.1875000 0.1894531 0.1914062 0.1933594 0.1953125 0.1972656 0.1992188
[99] 0.2011719 0.2031250 0.2050781 0.2070312 0.2089844 0.2128906 0.2167969
[106] 0.2187500 0.2207031 0.2226562 0.2246094 0.2285156 0.2304688 0.2343750
[113] 0.2363281 0.2382812 0.2421875 0.2441406 0.2460938 0.2480469 0.2500000
[120] 0.2519531 0.2539062 0.2558594 0.2597656 0.2617188 0.2636719 0.2675781
[127] 0.2695312 0.2714844 0.2734375 0.2773438 0.2792969 0.2812500 0.2832031
[134] 0.2851562 0.2871094 0.2910156 0.2929688 0.2949219 0.2968750 0.2988281
[141] 0.3027344 0.3066406 0.3085938 0.3125000 0.3144531 0.3164062 0.3183594
[148] 0.3203125 0.3222656 0.3242188 0.3261719 0.3281250 0.3300781 0.3320312
[155] 0.3339844 0.3359375 0.3378906 0.3398438 0.3417969 0.3437500 0.3457031
[162] 0.3476562 0.3515625 0.3535156 0.3554688 0.3574219 0.3593750 0.3613281
[169] 0.3632812 0.3652344 0.3691406 0.3710938 0.3730469 0.3750000 0.3769531
[176] 0.3789062 0.3808594 0.3828125 0.3847656 0.3867188 0.3886719 0.3906250
[183] 0.3925781 0.3945312 0.3964844 0.4003906 0.4023438 0.4042969 0.4062500
[190] 0.4082031 0.4101562 0.4121094 0.4140625 0.4160156 0.4179688 0.4199219
[197] 0.4238281 0.4277344 0.4316406 0.4335938 0.4375000 0.4394531 0.4433594
[204] 0.4472656 0.4492188 0.4511719 0.4550781 0.4570312 0.4589844 0.4628906
[211] 0.4648438 0.4667969 0.4707031 0.4726562 0.4746094 0.4765625 0.4804688
[218] 0.4824219 0.4863281 0.4882812 0.4921875 0.4941406 0.4980469 0.5000000
[225] 0.5019531 0.5058594 0.5078125 0.5117188 0.5136719 0.5175781 0.5195312
[232] 0.5234375 0.5253906 0.5273438 0.5292969 0.5332031 0.5351562 0.5371094
[239] 0.5410156 0.5429688 0.5449219 0.5488281 0.5507812 0.5527344 0.5566406
[246] 0.5605469 0.5625000 0.5664062 0.5683594 0.5722656 0.5761719 0.5800781
[253] 0.5820312 0.5839844 0.5859375 0.5878906 0.5898438 0.5917969 0.5937500
[260] 0.5957031 0.5976562 0.5996094 0.6035156 0.6054688 0.6074219 0.6093750
[267] 0.6113281 0.6132812 0.6152344 0.6171875 0.6191406 0.6210938 0.6230469
[274] 0.6250000 0.6269531 0.6289062 0.6308594 0.6347656 0.6367188 0.6386719
[281] 0.6406250 0.6425781 0.6445312 0.6464844 0.6484375 0.6523438 0.6542969
[288] 0.6562500 0.6582031 0.6601562 0.6621094 0.6640625 0.6660156 0.6679688
[295] 0.6699219 0.6718750 0.6738281 0.6757812 0.6777344 0.6796875 0.6816406
[302] 0.6835938 0.6855469 0.6875000 0.6914062 0.6933594 0.6972656 0.7011719
[309] 0.7031250 0.7050781 0.7070312 0.7089844 0.7128906 0.7148438 0.7167969
[316] 0.7187500 0.7207031 0.7226562 0.7265625 0.7285156 0.7304688 0.7324219
[323] 0.7363281 0.7382812 0.7402344 0.7441406 0.7460938 0.7480469 0.7500000
[330] 0.7519531 0.7539062 0.7558594 0.7578125 0.7617188 0.7636719 0.7656250
[337] 0.7695312 0.7714844 0.7753906 0.7773438 0.7792969 0.7812500 0.7832031
[344] 0.7871094 0.7910156 0.7929688 0.7949219 0.7968750 0.7988281 0.8007812
[351] 0.8027344 0.8046875 0.8066406 0.8085938 0.8105469 0.8125000 0.8144531
[358] 0.8164062 0.8183594 0.8203125 0.8222656 0.8242188 0.8281250 0.8300781
[365] 0.8320312 0.8339844 0.8359375 0.8378906 0.8398438 0.8417969 0.8437500
[372] 0.8457031 0.8476562 0.8496094 0.8535156 0.8554688 0.8574219 0.8593750
[379] 0.8613281 0.8632812 0.8652344 0.8671875 0.8691406 0.8710938 0.8730469
[386] 0.8750000 0.8789062 0.8808594 0.8828125 0.8847656 0.8867188 0.8886719
[393] 0.8906250 0.8925781 0.8945312 0.8964844 0.8984375 0.9003906 0.9042969
[400] 0.9062500 0.9082031 0.9101562 0.9121094 0.9140625 0.9160156 0.9179688
[407] 0.9199219 0.9218750 0.9238281 0.9257812 0.9277344 0.9296875 0.9316406
[414] 0.9335938 0.9355469 0.9375000 0.9394531 0.9414062 0.9433594 0.9453125
[421] 0.9472656 0.9492188 0.9511719 0.9531250 0.9550781 0.9570312 0.9589844
[428] 0.9609375 0.9628906 0.9648438 0.9667969 0.9687500 0.9707031 0.9726562
[435] 0.9746094 0.9765625 0.9785156 0.9804688 0.9824219 0.9843750 0.9863281
[442] 0.9882812 0.9902344 0.9921875 0.9941406 0.9960938 0.9980469 1.0000000
> round(dp_it2_SR <- dperm(it2_SR, supp_it2_SR), 7) # failed in < 1.1-0
[1] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[8] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[15] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[22] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[29] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[36] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[43] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[50] 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[57] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531
[64] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[71] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[78] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[85] 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[92] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[99] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0039063
[106] 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0039063
[113] 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531
[120] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0039063
[127] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[134] 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531
[141] 0.0039063 0.0039063 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[148] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[155] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[162] 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[169] 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531
[176] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[183] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[190] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[197] 0.0039063 0.0039063 0.0039063 0.0019531 0.0039063 0.0019531 0.0039063
[204] 0.0039063 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0039063
[211] 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0039063
[218] 0.0019531 0.0039063 0.0019531 0.0039063 0.0019531 0.0039063 0.0019531
[225] 0.0019531 0.0039063 0.0019531 0.0039063 0.0019531 0.0039063 0.0019531
[232] 0.0039063 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531
[239] 0.0039063 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0039063
[246] 0.0039063 0.0019531 0.0039063 0.0019531 0.0039063 0.0039063 0.0039063
[253] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[260] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[267] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[274] 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531
[281] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531
[288] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[295] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[302] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0039063 0.0039063
[309] 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531
[316] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[323] 0.0039063 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[330] 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531
[337] 0.0039063 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531
[344] 0.0039063 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[351] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[358] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531
[365] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[372] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[379] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[386] 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[393] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063
[400] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[407] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[414] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[421] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[428] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[435] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[442] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
> round(qp_it2_SR <- qperm(it2_SR, seq(0, 1, 0.01)), 7)
[1] -2.4511747 -2.2738725 -1.8978112 -1.7995609 -1.7510004 -1.6979227
[7] -1.6414570 -1.5736982 -1.4122064 -1.2992751 -1.2744302 -1.2315163
[13] -1.1987662 -1.1750506 -1.1332660 -1.1197142 -1.0880935 -1.0406623
[19] -1.0090415 -0.9638690 -0.8904636 -0.8114117 -0.7459115 -0.7244545
[25] -0.7097735 -0.6646009 -0.6442733 -0.6228163 -0.6081353 -0.5855490
[31] -0.5663507 -0.5437644 -0.5313420 -0.5064971 -0.4782642 -0.4534193
[37] -0.4308331 -0.4082468 -0.3427466 -0.3258069 -0.2467550 -0.2106169
[43] -0.1564099 -0.1338236 -0.1112374 -0.0886511 -0.0660648 -0.0547717
[49] -0.0434786 -0.0208923 -0.0016940 0.0208923 0.0434786 0.0547717
[55] 0.0660648 0.0886511 0.1112374 0.1338236 0.1564099 0.2106169
[61] 0.2467550 0.3258069 0.3427466 0.4082468 0.4308331 0.4534193
[67] 0.4782642 0.5064971 0.5313420 0.5437644 0.5663507 0.5855490
[73] 0.6081353 0.6228163 0.6442733 0.6566957 0.7097735 0.7244545
[79] 0.7459115 0.8114117 0.8904636 0.9638690 1.0090415 1.0406623
[85] 1.0880935 1.1197142 1.1332660 1.1750506 1.1987662 1.2315163
[91] 1.2744302 1.2992751 1.4122064 1.5736982 1.6414570 1.6979227
[97] 1.7510004 1.7995609 1.8978112 2.2738725 2.4511747
> round(rp_it2_SR <- rperm(it2_SR, 5), 7)
[1] -0.0660648 1.1411712 0.0242802 0.4895574 -0.4556780
> stopifnot(all(rp_it2_SR %in% supp_it2_SR))
>
> ### paired shift with block
> st3_SR <- symmetry_test(y ~ x | b, data = dta2,
+ distribution = exact(algorithm = "shift"),
+ paired = TRUE)
> supp_st3_SR <- support(st3_SR)
> stopifnot(!is.unsorted(supp_st3_SR))
> stopifnot(all(supp_st3_SR == unique(supp_st3_SR)))
> round(pp_st3_SR <- pperm(st3_SR, supp_st3_SR), 7)
[1] 0.0019531 0.0039063 0.0058594 0.0078125 0.0097656 0.0117188 0.0136719
[8] 0.0156250 0.0175781 0.0195312 0.0214844 0.0234375 0.0253906 0.0273438
[15] 0.0292969 0.0312500 0.0332031 0.0351562 0.0371094 0.0390625 0.0410156
[22] 0.0429688 0.0449219 0.0468750 0.0488281 0.0507812 0.0527344 0.0546875
[29] 0.0566406 0.0585938 0.0605469 0.0625000 0.0644531 0.0664062 0.0683594
[36] 0.0703125 0.0722656 0.0742188 0.0761719 0.0781250 0.0800781 0.0820312
[43] 0.0839844 0.0859375 0.0878906 0.0898438 0.0917969 0.0937500 0.0957031
[50] 0.0996094 0.1015625 0.1035156 0.1054688 0.1074219 0.1093750 0.1113281
[57] 0.1132812 0.1152344 0.1171875 0.1191406 0.1210938 0.1250000 0.1269531
[64] 0.1289062 0.1308594 0.1328125 0.1347656 0.1367188 0.1386719 0.1406250
[71] 0.1425781 0.1445312 0.1464844 0.1503906 0.1523438 0.1542969 0.1562500
[78] 0.1582031 0.1601562 0.1621094 0.1640625 0.1660156 0.1679688 0.1699219
[85] 0.1718750 0.1757812 0.1777344 0.1796875 0.1816406 0.1835938 0.1855469
[92] 0.1875000 0.1894531 0.1914062 0.1933594 0.1953125 0.1972656 0.1992188
[99] 0.2011719 0.2031250 0.2050781 0.2070312 0.2089844 0.2128906 0.2167969
[106] 0.2187500 0.2207031 0.2226562 0.2246094 0.2285156 0.2304688 0.2343750
[113] 0.2363281 0.2382812 0.2421875 0.2441406 0.2460938 0.2480469 0.2500000
[120] 0.2519531 0.2539062 0.2558594 0.2597656 0.2617188 0.2636719 0.2675781
[127] 0.2695312 0.2714844 0.2734375 0.2773438 0.2792969 0.2812500 0.2832031
[134] 0.2851562 0.2871094 0.2910156 0.2929688 0.2949219 0.2968750 0.2988281
[141] 0.3027344 0.3066406 0.3085938 0.3125000 0.3144531 0.3164062 0.3183594
[148] 0.3203125 0.3222656 0.3242188 0.3261719 0.3281250 0.3300781 0.3320312
[155] 0.3339844 0.3359375 0.3378906 0.3398438 0.3417969 0.3437500 0.3457031
[162] 0.3476562 0.3515625 0.3535156 0.3554688 0.3574219 0.3593750 0.3613281
[169] 0.3632812 0.3652344 0.3691406 0.3710938 0.3730469 0.3750000 0.3769531
[176] 0.3789062 0.3808594 0.3828125 0.3847656 0.3867188 0.3886719 0.3906250
[183] 0.3925781 0.3945312 0.3964844 0.4003906 0.4023438 0.4042969 0.4062500
[190] 0.4082031 0.4101562 0.4121094 0.4140625 0.4160156 0.4179688 0.4199219
[197] 0.4238281 0.4277344 0.4316406 0.4335938 0.4375000 0.4394531 0.4433594
[204] 0.4472656 0.4492188 0.4511719 0.4550781 0.4570312 0.4589844 0.4628906
[211] 0.4648438 0.4667969 0.4707031 0.4726562 0.4746094 0.4765625 0.4804688
[218] 0.4824219 0.4863281 0.4882812 0.4921875 0.4941406 0.4980469 0.5000000
[225] 0.5019531 0.5058594 0.5078125 0.5117188 0.5136719 0.5175781 0.5195312
[232] 0.5234375 0.5253906 0.5273438 0.5292969 0.5332031 0.5351562 0.5371094
[239] 0.5410156 0.5429688 0.5449219 0.5488281 0.5507812 0.5527344 0.5566406
[246] 0.5605469 0.5625000 0.5664062 0.5683594 0.5722656 0.5761719 0.5800781
[253] 0.5820312 0.5839844 0.5859375 0.5878906 0.5898438 0.5917969 0.5937500
[260] 0.5957031 0.5976562 0.5996094 0.6035156 0.6054688 0.6074219 0.6093750
[267] 0.6113281 0.6132812 0.6152344 0.6171875 0.6191406 0.6210938 0.6230469
[274] 0.6250000 0.6269531 0.6289062 0.6308594 0.6347656 0.6367188 0.6386719
[281] 0.6406250 0.6425781 0.6445312 0.6464844 0.6484375 0.6523438 0.6542969
[288] 0.6562500 0.6582031 0.6601562 0.6621094 0.6640625 0.6660156 0.6679688
[295] 0.6699219 0.6718750 0.6738281 0.6757812 0.6777344 0.6796875 0.6816406
[302] 0.6835938 0.6855469 0.6875000 0.6914062 0.6933594 0.6972656 0.7011719
[309] 0.7031250 0.7050781 0.7070312 0.7089844 0.7128906 0.7148438 0.7167969
[316] 0.7187500 0.7207031 0.7226562 0.7265625 0.7285156 0.7304688 0.7324219
[323] 0.7363281 0.7382812 0.7402344 0.7441406 0.7460938 0.7480469 0.7500000
[330] 0.7519531 0.7539062 0.7558594 0.7578125 0.7617188 0.7636719 0.7656250
[337] 0.7695312 0.7714844 0.7753906 0.7773438 0.7792969 0.7812500 0.7832031
[344] 0.7871094 0.7910156 0.7929688 0.7949219 0.7968750 0.7988281 0.8007812
[351] 0.8027344 0.8046875 0.8066406 0.8085938 0.8105469 0.8125000 0.8144531
[358] 0.8164062 0.8183594 0.8203125 0.8222656 0.8242188 0.8281250 0.8300781
[365] 0.8320312 0.8339844 0.8359375 0.8378906 0.8398438 0.8417969 0.8437500
[372] 0.8457031 0.8476562 0.8496094 0.8535156 0.8554688 0.8574219 0.8593750
[379] 0.8613281 0.8632812 0.8652344 0.8671875 0.8691406 0.8710938 0.8730469
[386] 0.8750000 0.8789062 0.8808594 0.8828125 0.8847656 0.8867188 0.8886719
[393] 0.8906250 0.8925781 0.8945312 0.8964844 0.8984375 0.9003906 0.9042969
[400] 0.9062500 0.9082031 0.9101562 0.9121094 0.9140625 0.9160156 0.9179688
[407] 0.9199219 0.9218750 0.9238281 0.9257812 0.9277344 0.9296875 0.9316406
[414] 0.9335938 0.9355469 0.9375000 0.9394531 0.9414062 0.9433594 0.9453125
[421] 0.9472656 0.9492188 0.9511719 0.9531250 0.9550781 0.9570312 0.9589844
[428] 0.9609375 0.9628906 0.9648438 0.9667969 0.9687500 0.9707031 0.9726562
[435] 0.9746094 0.9765625 0.9785156 0.9804688 0.9824219 0.9843750 0.9863281
[442] 0.9882812 0.9902344 0.9921875 0.9941406 0.9960938 0.9980469 1.0000000
> round(dp_st3_SR <- dperm(st3_SR, supp_st3_SR), 7)
[1] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[8] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[15] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[22] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[29] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[36] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[43] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[50] 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[57] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531
[64] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[71] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[78] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[85] 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[92] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[99] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0039063
[106] 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0039063
[113] 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531
[120] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0039063
[127] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[134] 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531
[141] 0.0039063 0.0039063 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[148] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[155] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[162] 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[169] 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531
[176] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[183] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[190] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[197] 0.0039063 0.0039063 0.0039063 0.0019531 0.0039063 0.0019531 0.0039063
[204] 0.0039063 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0039063
[211] 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0039063
[218] 0.0019531 0.0039063 0.0019531 0.0039063 0.0019531 0.0039063 0.0019531
[225] 0.0019531 0.0039063 0.0019531 0.0039063 0.0019531 0.0039063 0.0019531
[232] 0.0039063 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531
[239] 0.0039063 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0039063
[246] 0.0039063 0.0019531 0.0039063 0.0019531 0.0039063 0.0039063 0.0039063
[253] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[260] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[267] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[274] 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531
[281] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531
[288] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[295] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[302] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0039063 0.0039063
[309] 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531
[316] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[323] 0.0039063 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[330] 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531
[337] 0.0039063 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531
[344] 0.0039063 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[351] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[358] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531
[365] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[372] 0.0019531 0.0019531 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531
[379] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[386] 0.0019531 0.0039063 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[393] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0039063
[400] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[407] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[414] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[421] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[428] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[435] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
[442] 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531 0.0019531
> round(qp_st3_SR <- qperm(st3_SR, seq(0, 1, 0.01)), 7)
[1] -2.4511747 -2.2738725 -1.8978112 -1.7995609 -1.7510004 -1.6979227
[7] -1.6414570 -1.5736982 -1.4122064 -1.2992751 -1.2744302 -1.2315163
[13] -1.1987662 -1.1750506 -1.1332660 -1.1197142 -1.0880935 -1.0406623
[19] -1.0090415 -0.9638690 -0.8904636 -0.8114117 -0.7459115 -0.7244545
[25] -0.7097735 -0.6646009 -0.6442733 -0.6228163 -0.6081353 -0.5855490
[31] -0.5663507 -0.5437644 -0.5313420 -0.5064971 -0.4782642 -0.4534193
[37] -0.4308331 -0.4082468 -0.3427466 -0.3258069 -0.2467550 -0.2106169
[43] -0.1564099 -0.1338236 -0.1112374 -0.0886511 -0.0660648 -0.0547717
[49] -0.0434786 -0.0208923 -0.0016940 0.0208923 0.0434786 0.0547717
[55] 0.0660648 0.0886511 0.1112374 0.1338236 0.1564099 0.2106169
[61] 0.2467550 0.3258069 0.3427466 0.4082468 0.4308331 0.4534193
[67] 0.4782642 0.5064971 0.5313420 0.5437644 0.5663507 0.5855490
[73] 0.6081353 0.6228163 0.6442733 0.6566957 0.7097735 0.7244545
[79] 0.7459115 0.8114117 0.8904636 0.9638690 1.0090415 1.0406623
[85] 1.0880935 1.1197142 1.1332660 1.1750506 1.1987662 1.2315163
[91] 1.2744302 1.2992751 1.4122064 1.5736982 1.6414570 1.6979227
[97] 1.7510004 1.7995609 1.8978112 2.2738725 2.4511747
> round(rp_st3_SR <- rperm(st3_SR, 5), 7)
[1] 0.7244545 -0.3404880 0.8001185 -1.2653957 -0.7459115
> stopifnot(all(rp_st3_SR %in% supp_st3_SR))
>
> ### should be equal
> stopifnot(isequal(pp_it2_SR, pp_st3_SR)) # failed in < 1.1-0
> stopifnot(isequal(qp_it2_SR, qp_st3_SR)) # failed in < 1.1-0
> stopifnot(isequal(pvalue(it2_SR), pvalue(st3_SR)))
> stopifnot(isequal(midpvalue(it2_SR), midpvalue(st3_SR)))
> stopifnot(isequal(pvalue_interval(it2_SR), pvalue_interval(st3_SR)))
>
>
> ### exact test based on quadratic forms
>
> ### shift with block
> itq1 <- independence_test(y ~ x | b, data = dta1,
+ distribution = exact(algorithm = "shift"),
+ teststat = "quad")
> its1 <- independence_test(y ~ x | b, data = dta1,
+ distribution = exact(algorithm = "shift"),
+ teststat = "scalar")
> stopifnot(isequal(statistic(itq1), statistic(its1)^2))
> stopifnot(isequal(pvalue(itq1), pvalue(its1)))
> stopifnot(isequal(midpvalue(itq1), midpvalue(its1)))
> stopifnot(isequal(pvalue_interval(itq1), pvalue_interval(its1)))
> stopifnot(isequal(support(itq1), support(its1)[support(its1) >= 0]^2))
>
> ### paired shift with block
> sts2 <- symmetry_test(y ~ x | b, data = dta2,
+ distribution = exact(algorithm = "shift"),
+ paired = TRUE, teststat = "scalar")
> stq2 <- symmetry_test(y ~ x | b, data = dta2,
+ distribution = exact(algorithm = "shift"),
+ paired = TRUE, teststat = "quad")
> stopifnot(isequal(statistic(stq2), statistic(sts2)^2))
> stopifnot(isequal(pvalue(stq2), pvalue(sts2)))
> stopifnot(isequal(midpvalue(stq2), midpvalue(sts2)))
> stopifnot(isequal(pvalue_interval(stq2), pvalue_interval(sts2)))
> stopifnot(isequal(support(stq2), support(sts2)[support(sts2) >= 0]^2))
>
> ### should be equal
> stopifnot(isequal(statistic(itq1), statistic(stq2)))
> stopifnot(isequal(pvalue(itq1), pvalue(stq2)))
> stopifnot(isequal(midpvalue(itq1), midpvalue(stq2)))
> stopifnot(isequal(pvalue_interval(itq1), pvalue_interval(stq2)))
> stopifnot(isequal(support(itq1), support(stq2)))
>
> ### dperm gave an error here (fixed in r869)
> tab <- as.table(matrix(c(3, 0, 0, 3), ncol = 2))
> itq <- independence_test(tab, distribution = exact(algorithm = "shift"),
+ teststat = "quad")
> stopifnot(is.numeric(dperm(itq, statistic(itq))))
>
>
> ### check vectorization
> dta <- data.frame(y1 = sample(1:20), y2 = sample(1:20), x = gl(2, 10))
>
> ### univariate, asymptotic and scalar
> it_uas <- independence_test(y1 ~ x, data = dta,
+ distribution = "asymptotic", teststat = "scalar")
> (dp_uas <- dperm(it_uas, 0:1))
[1] 0.3989423 0.2419707
> stopifnot(isequal(dp_uas, c(dperm(it_uas, 0), dperm(it_uas, 1))))
> (pp_uas <- pperm(it_uas, 0:1))
[1] 0.5000000 0.8413447
> stopifnot(isequal(pp_uas, c(pperm(it_uas, 0), pperm(it_uas, 1))))
> (qp_uas <- qperm(it_uas, c(0.5, 0.75)))
[1] 0.0000000 0.6744898
> stopifnot(isequal(qp_uas, c(qperm(it_uas, 0.5), qperm(it_uas, 0.75))))
> (pv_uas <- pvalue(it_uas@distribution, 0:1))
[1] 1.0000000 0.3173105
> stopifnot(isequal(pv_uas, c(pvalue(it_uas@distribution, 0),
+ pvalue(it_uas@distribution, 1))))
>
> ### univariate, asymptotic and quad
> it_uaq <- independence_test(y1 ~ x, data = dta,
+ distribution = "asymptotic", teststat = "quad")
> (dp_uaq <- dperm(it_uaq, 0:1))
[1] Inf 0.2419707
> stopifnot(isequal(dp_uaq, c(dperm(it_uaq, 0), dperm(it_uaq, 1))))
> (pp_uaq <- pperm(it_uaq, 0:1))
[1] 0.0000000 0.6826895
> stopifnot(isequal(pp_uaq, c(pperm(it_uaq, 0), pperm(it_uaq, 1))))
> (qp_uaq <- qperm(it_uaq, c(0.5, 0.75)))
[1] 0.4549364 1.3233037
> stopifnot(isequal(qp_uaq, c(qperm(it_uaq, 0.5), qperm(it_uaq, 0.75))))
> (pv_uaq <- pvalue(it_uaq@distribution, 0:1))
[1] 1.0000000 0.3173105
> stopifnot(isequal(pv_uaq, c(pvalue(it_uaq@distribution, 0),
+ pvalue(it_uaq@distribution, 1))))
>
> ### multivariate, asymptotic and max
> it_mam <- independence_test(y1 + y2 ~ x, data = dta,
+ distribution = "asymptotic", teststat = "max")
> (dp_mam <- dperm(it_mam, 0:1))
[1] NA
> ## stopifnot(isequal(dp_mam, c(dperm(it_mam, 0), dperm(it_mam, 1))))
> (pp_mam <- pperm(it_mam, 0:1)) # failed in < 1.1-0
[1] 0.0000000 0.4673673
> stopifnot(isequal(pp_mam, c(pperm(it_mam, 0), pperm(it_mam, 1))))
> (qp_mam <- qperm(it_mam, c(0.5, 0.75))) # failed in < 1.1-0
[1] 1.049971 1.496775
> stopifnot(isequal(qp_mam, c(qperm(it_mam, 0.5), qperm(it_mam, 0.75))))
> (pv_mam <- pvalue(it_mam@distribution, 0:1))
[1] 1.0000000 0.5326327
> stopifnot(isequal(pv_mam, c(pvalue(it_mam@distribution, 0),
+ pvalue(it_mam@distribution, 1))))
>
> ### multivariate, asymptotic and quad
> it_maq <- independence_test(y1 + y2 ~ x, data = dta,
+ distribution = "asymptotic", teststat = "quad")
> (dp_maq <- dperm(it_maq, 0:1))
[1] 0.5000000 0.3032653
> stopifnot(isequal(dp_maq, c(dperm(it_maq, 0), dperm(it_maq, 1))))
> (pp_maq <- pperm(it_maq, 0:1))
[1] 0.0000000 0.3934693
> stopifnot(isequal(pp_maq, c(pperm(it_maq, 0), pperm(it_maq, 1))))
> (qp_maq <- qperm(it_maq, c(0.5, 0.75)))
[1] 1.386294 2.772589
> stopifnot(isequal(qp_maq, c(qperm(it_maq, 0.5), qperm(it_maq, 0.75))))
> (pv_maq <- pvalue(it_maq@distribution, 0:1))
[1] 1.0000000 0.6065307
> stopifnot(isequal(pv_maq, c(pvalue(it_maq@distribution, 0),
+ pvalue(it_maq@distribution, 1))))
>
> ### univariate, approximate and scalar
> it_ums <- independence_test(y1 ~ x, data = dta,
+ distribution = "approximate", teststat = "scalar")
> (dp_ums <- dperm(it_ums, 0:1))
[1] 0.0334 0.0000
> stopifnot(isequal(dp_ums, c(dperm(it_ums, 0), dperm(it_ums, 1))))
> (pp_ums <- pperm(it_ums, 0:1))
[1] 0.5210 0.8487
> stopifnot(isequal(pp_ums, c(pperm(it_ums, 0), pperm(it_ums, 1))))
> (qp_ums <- qperm(it_ums, c(0.5, 0.75)))
[1] 0.0000000 0.6803361
> stopifnot(isequal(qp_ums, c(qperm(it_ums, 0.5), qperm(it_ums, 0.75))))
> (pv_ums <- pvalue(it_ums@distribution, 0:1))
[1] 1.0000 0.3117
> stopifnot(isequal(pv_ums, c(pvalue(it_ums@distribution, 0),
+ pvalue(it_ums@distribution, 1))))
> (mp_ums <- midpvalue(it_ums@distribution, 0:1))
[1] 0.9666 0.3117
> stopifnot(isequal(mp_ums, c(midpvalue(it_ums@distribution, 0),
+ midpvalue(it_ums@distribution, 1))))
> (pi_ums <- pvalue_interval(it_ums@distribution, 0:1))
[,1] [,2]
p_0 0.9332 0.3117
p_1 1.0000 0.3117
> stopifnot(isequal(pi_ums, cbind(pvalue_interval(it_ums@distribution, 0),
+ pvalue_interval(it_ums@distribution, 1))))
>
> ### univariate, approximate and quad
> it_umq <- independence_test(y1 ~ x, data = dta,
+ distribution = "approximate", teststat = "quad")
> (dp_umq <- dperm(it_umq, 0:1))
[1] 0.0328 0.0000
> stopifnot(isequal(dp_umq, c(dperm(it_umq, 0), dperm(it_umq, 1))))
> (pp_umq <- pperm(it_umq, 0:1))
[1] 0.0328 0.6853
> stopifnot(isequal(pp_umq, c(pperm(it_umq, 0), pperm(it_umq, 1))))
> (qp_umq <- qperm(it_umq, c(0.5, 0.75)))
[1] 0.4628571 1.2857143
> stopifnot(isequal(qp_umq, c(qperm(it_umq, 0.5), qperm(it_umq, 0.75))))
> (pv_umq <- pvalue(it_umq@distribution, 0:1))
[1] 1.0000 0.3147
> stopifnot(isequal(pv_umq, c(pvalue(it_umq@distribution, 0),
+ pvalue(it_umq@distribution, 1))))
> (mp_umq <- midpvalue(it_umq@distribution, 0:1))
[1] 0.9836 0.3147
> stopifnot(isequal(mp_umq, c(midpvalue(it_umq@distribution, 0),
+ midpvalue(it_umq@distribution, 1))))
> (pi_umq <- pvalue_interval(it_umq@distribution, 0:1))
[,1] [,2]
p_0 0.9672 0.3147
p_1 1.0000 0.3147
> stopifnot(isequal(pi_umq, cbind(pvalue_interval(it_umq@distribution, 0),
+ pvalue_interval(it_umq@distribution, 1))))
>
> ### multivariate, approximate and max
> it_mmm <- independence_test(y1 + y2 ~ x, data = dta,
+ distribution = "approximate", teststat = "max")
> (dp_mmm <- dperm(it_mmm, 0:1))
[1] 0.0017 0.0000
> stopifnot(isequal(dp_mmm, c(dperm(it_mmm, 0), dperm(it_mmm, 1))))
> (pp_mmm <- pperm(it_mmm, 0:1))
[1] 0.0017 0.4639
> stopifnot(isequal(pp_mmm, c(pperm(it_mmm, 0), pperm(it_mmm, 1))))
> (qp_mmm <- qperm(it_mmm, c(0.5, 0.75)))
[1] 1.058301 1.511858
> stopifnot(isequal(qp_mmm, c(qperm(it_mmm, 0.5), qperm(it_mmm, 0.75))))
> (pv_mmm <- pvalue(it_mmm@distribution, 0:1))
[1] 1.0000 0.5361
> stopifnot(isequal(pv_mmm, c(pvalue(it_mmm@distribution, 0),
+ pvalue(it_mmm@distribution, 1))))
> (mp_mmm <- midpvalue(it_mmm@distribution, 0:1))
[1] 0.9983 0.5361
> stopifnot(isequal(mp_mmm, c(midpvalue(it_mmm@distribution, 0),
+ midpvalue(it_mmm@distribution, 1))))
> (pi_mmm <- pvalue_interval(it_mmm@distribution, 0:1))
[,1] [,2]
p_0 0.9966 0.5361
p_1 1.0000 0.5361
> stopifnot(isequal(pi_mmm, cbind(pvalue_interval(it_mmm@distribution, 0),
+ pvalue_interval(it_mmm@distribution, 1))))
>
> ### multivariate, approximate and quad
> it_mmq <- independence_test(y1 + y2 ~ x, data = dta,
+ distribution = "approximate", teststat = "quad")
> (dp_mmq <- dperm(it_mmq, 0:1))
[1] 7e-04 0e+00
> stopifnot(isequal(dp_mmq, c(dperm(it_mmq, 0), dperm(it_mmq, 1))))
> (pp_mmq <- pperm(it_mmq, 0:1))
[1] 0.0007 0.3821
> stopifnot(isequal(pp_mmq, c(pperm(it_mmq, 0), pperm(it_mmq, 1))))
> (qp_mmq <- qperm(it_mmq, c(0.5, 0.75)))
[1] 1.465562 2.820424
> stopifnot(isequal(qp_mmq, c(qperm(it_mmq, 0.5), qperm(it_mmq, 0.75))))
> (pv_mmq <- pvalue(it_mmq@distribution, 0:1))
[1] 1.0000 0.6179
> stopifnot(isequal(pv_mmq, c(pvalue(it_mmq@distribution, 0),
+ pvalue(it_mmq@distribution, 1))))
> (mp_mmq <- midpvalue(it_mmq@distribution, 0:1))
[1] 0.99965 0.61790
> stopifnot(isequal(mp_mmq, c(midpvalue(it_mmq@distribution, 0),
+ midpvalue(it_mmq@distribution, 1))))
> (pi_mmq <- pvalue_interval(it_mmq@distribution, 0:1))
[,1] [,2]
p_0 0.9993 0.6179
p_1 1.0000 0.6179
> stopifnot(isequal(pi_mmq, cbind(pvalue_interval(it_mmq@distribution, 0),
+ pvalue_interval(it_mmq@distribution, 1))))
>
> ### univariate, exact and scalar
> it_ues <- independence_test(y1 ~ x, data = dta,
+ distribution = "exact", teststat = "scalar")
> (dp_ues <- dperm(it_ues, 0:1))
[1] 0.02948754 0.00000000
> stopifnot(isequal(dp_ues, c(dperm(it_ues, 0), dperm(it_ues, 1))))
> (pp_ues <- pperm(it_ues, 0:1))
[1] 0.5147438 0.8425004
> stopifnot(isequal(pp_ues, c(pperm(it_ues, 0), pperm(it_ues, 1))))
> (qp_ues <- qperm(it_ues, c(0.5, 0.75)))
[1] 0.0000000 0.6803361
> stopifnot(isequal(qp_ues, c(qperm(it_ues, 0.5), qperm(it_ues, 0.75))))
> (pv_ues <- pvalue(it_ues@distribution, 0:1))
[1] 1.0000000 0.3149992
> stopifnot(isequal(pv_ues, c(pvalue(it_ues@distribution, 0),
+ pvalue(it_ues@distribution, 1))))
> (mp_ues <- midpvalue(it_ues@distribution, 0:1))
[1] 0.9705125 0.3149992
> stopifnot(isequal(mp_ues, c(midpvalue(it_ues@distribution, 0),
+ midpvalue(it_ues@distribution, 1))))
> (pi_ues <- pvalue_interval(it_ues@distribution, 0:1))
[,1] [,2]
p_0 0.9410249 0.3149992
p_1 1.0000000 0.3149992
> stopifnot(isequal(pi_ues, cbind(pvalue_interval(it_ues@distribution, 0),
+ pvalue_interval(it_ues@distribution, 1))))
>
> ### univariate, exact and quad
> it_ueq <- independence_test(y1 ~ x, data = dta,
+ distribution = "exact", teststat = "quad")
> (dp_ueq <- dperm(it_ueq, 0:1))
[1] 0.02948754 0.00000000
> stopifnot(isequal(dp_ueq, c(dperm(it_ueq, 0), dperm(it_ueq, 1))))
> (pp_ueq <- pperm(it_ueq, 0:1))
[1] 0.02948754 0.68500076
> stopifnot(isequal(pp_ueq, c(pperm(it_ueq, 0), pperm(it_ueq, 1))))
> (qp_ueq <- qperm(it_ueq, c(0.5, 0.75)))
[1] 0.4628571 1.2857143
> stopifnot(isequal(qp_ueq, c(qperm(it_ueq, 0.5), qperm(it_ueq, 0.75))))
> (pv_ueq <- pvalue(it_ueq@distribution, 0:1))
[1] 1.0000000 0.3149992
> stopifnot(isequal(pv_ueq, c(pvalue(it_ueq@distribution, 0),
+ pvalue(it_ueq@distribution, 1))))
> (mp_ueq <- midpvalue(it_ueq@distribution, 0:1))
[1] 0.9852562 0.3149992
> stopifnot(isequal(mp_ueq, c(midpvalue(it_ueq@distribution, 0),
+ midpvalue(it_ueq@distribution, 1))))
> (pi_ueq <- pvalue_interval(it_ueq@distribution, 0:1))
[,1] [,2]
p_0 0.9705125 0.3149992
p_1 1.0000000 0.3149992
> stopifnot(isequal(pi_ueq, cbind(pvalue_interval(it_ueq@distribution, 0),
+ pvalue_interval(it_ueq@distribution, 1))))
>
> proc.time()
user system elapsed
4.64 0.56 5.18
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