R Under development (unstable) (2019-12-01 r77492) -- "Unsuffered Consequences"
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> ### Regression tests for naming of results
>
> set.seed(290875)
> library("coin")
Loading required package: survival
>
> y1 <- sample(1:20)
> y2 <- rnorm(20)
> x <- gl(2, 10, labels = c("A", "B"))
>
>
> ###
> ### Asymptotic
> ###
>
> ### Scalar
> asy_scl <- independence_test(y1 ~ x, distr = "asymptotic", teststat = "scalar")
> s <- statistic(asy_scl)
>
> stopifnot(identical(dimnames( expectation(asy_scl) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(asy_scl) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(asy_scl) ), list("A", "A") ))
> stopifnot( is.null( names( statistic(asy_scl, type = "test") ) )) # named in < 1.3-0
> stopifnot(identical(dimnames( statistic(asy_scl, type = "linear") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(asy_scl, type = "centered") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(asy_scl, type = "standardized") ), list("A", "") ))
> ## stopifnot( is.null( names( support(asy_scl) ) )) # NA
> stopifnot( is.null( names( dperm(asy_scl, x = s) ) ))
> stopifnot(identical( names( dperm(asy_scl, x = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( dperm(asy_scl, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( dperm(asy_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( pperm(asy_scl, q = s) ) ))
> stopifnot(identical( names( pperm(asy_scl, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(asy_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(asy_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(asy_scl, p = 0.75) ) ))
> stopifnot(identical( names( qperm(asy_scl, p = c(s = 0.75)) ), "s" ))
> stopifnot( is.null(dimnames( qperm(asy_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(asy_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( rperm(asy_scl, n = 5) ) ))
> stopifnot( is.null( names( pvalue(asy_scl, method = "global") ) ))
> stopifnot( is.null( names( pvalue(asy_scl, method = "single-step") ) ))
> stopifnot( is.null( names( pvalue(asy_scl, method = "step-down") ) ))
> stopifnot( is.null( names( pvalue(asy_scl, method = "unadjusted") ) ))
> ## stopifnot( is.null( names( midpvalue(asy_scl) ) )) # NA
> ## stopifnot(identical( names(pvalue_interval(asy_scl) ), c("p_0", "p_1") )) # NA
> ## stopifnot( is.null( names( size(asy_scl, alpha = 0.05) ) )) # NA
> rm(asy_scl, s)
>
> ### Quadratic univariate
> asy_qdr_u <- independence_test(y1 ~ x, distr = "asymptotic", teststat = "quadratic")
> s <- statistic(asy_qdr_u)
>
> stopifnot(identical(dimnames( expectation(asy_qdr_u) ), list("A" , "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(asy_qdr_u) ), list("A" , "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(asy_qdr_u) ), list("A" , "A") ))
> stopifnot( is.null( names( statistic(asy_qdr_u, type = "test") ) ))
> stopifnot(identical(dimnames( statistic(asy_qdr_u, type = "linear") ), list("A" , "") ))
> stopifnot(identical(dimnames( statistic(asy_qdr_u, type = "centered") ), list("A" , "") ))
> stopifnot(identical(dimnames( statistic(asy_qdr_u, type = "standardized") ), list("A" , "") ))
> ## stopifnot( is.null( names( support(asy_qdr_u) ) )) # NA
> stopifnot( is.null( names( dperm(asy_qdr_u, x = s) ) ))
> stopifnot(identical( names( dperm(asy_qdr_u, x = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( dperm(asy_qdr_u, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( dperm(asy_qdr_u, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( pperm(asy_qdr_u, q = s) ) ))
> stopifnot(identical( names( pperm(asy_qdr_u, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(asy_qdr_u, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(asy_qdr_u, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(asy_qdr_u, p = 0.75) ) ))
> stopifnot(identical( names( qperm(asy_qdr_u, p = c(s = 0.75)) ), "s" ))
> stopifnot( is.null(dimnames( qperm(asy_qdr_u, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(asy_qdr_u, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( rperm(asy_qdr_u, n = 5) ) ))
> stopifnot( is.null( names( pvalue(asy_qdr_u, method = "global") ) ))
> stopifnot( is.null( names( pvalue(asy_qdr_u, method = "single-step") ) ))
> stopifnot( is.null( names( pvalue(asy_qdr_u, method = "step-down") ) ))
> stopifnot( is.null( names( pvalue(asy_qdr_u, method = "unadjusted") ) ))
> ## stopifnot( is.null( names( midpvalue(asy_qdr_u) ) )) # NA
> ## stopifnot(identical( names(pvalue_interval(asy_qdr_u) ), c("p_0", "p_1") )) # NA
> ## stopifnot( is.null( names( size(asy_qdr_u, alpha = 0.05) ) )) # NA
> rm(asy_qdr_u, s)
>
> ### Maximum
> asy_mxm <- independence_test(y1 + y2 ~ x, distribution = "asymptotic", teststat = "maximum")
> s <- statistic(asy_mxm)
>
> stopifnot(identical(dimnames( expectation(asy_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(asy_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(asy_mxm) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
> stopifnot( is.null( names( statistic(asy_mxm, type = "test") ) ))
> stopifnot(identical(dimnames( statistic(asy_mxm, type = "linear") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( statistic(asy_mxm, type = "centered") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( statistic(asy_mxm, type = "standardized") ), list("A", c("y1", "y2")) ))
> ## stopifnot( is.null( names( support(asy_mxm) ) )) # NA
> ## stopifnot( is.null( names( dperm(asy_mxm, x = s) ) )) # NA
> ## stopifnot(identical( names( dperm(asy_mxm, x = c(s = s)) ), "s" )) # NA
> ## stopifnot( is.null(dimnames( dperm(asy_mxm, x = matrix(s, nrow = 1)) ) )) # NA
> ## stopifnot(identical(dimnames( dperm(asy_mxm, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # NA
> stopifnot( is.null( names( pperm(asy_mxm, q = s) ) ))
> stopifnot(identical( names( pperm(asy_mxm, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(asy_mxm, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(asy_mxm, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(asy_mxm, p = 0.75) ) ))
> stopifnot(identical( names( qperm(asy_mxm, p = c(s = 0.75)) ), "s" ))
> stopifnot( is.null(dimnames( qperm(asy_mxm, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(asy_mxm, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> ## stopifnot( is.null( names( rperm(asy_mxm, n = 5) ) )) # NA
> stopifnot( is.null( names( pvalue(asy_mxm, method = "global") ) ))
> stopifnot(identical(dimnames( pvalue(asy_mxm, method = "single-step") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( pvalue(asy_mxm, method = "step-down") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( pvalue(asy_mxm, method = "unadjusted") ), list("A", c("y1", "y2")) ))
> ## stopifnot( is.null( names( midpvalue(asy_mxm) ) )) # NA
> ## stopifnot(identical( names(pvalue_interval(asy_mxm) ), c("p_0", "p_1") )) # NA
> ## stopifnot( is.null( names( size(asy_mxm, alpha = 0.05) ) )) # NA
> rm(asy_mxm, s)
>
> ### Quadratic multivariate
> asy_qdr_m <- independence_test(y1 + y2 ~ x, distr = "asymptotic", teststat = "quadratic")
> s <- statistic(asy_qdr_m)
>
> stopifnot(identical(dimnames( expectation(asy_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(asy_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(asy_qdr_m) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
> stopifnot( is.null( names( statistic(asy_qdr_m, type = "test") ) ))
> stopifnot(identical(dimnames( statistic(asy_qdr_m, type = "linear") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( statistic(asy_qdr_m, type = "centered") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( statistic(asy_qdr_m, type = "standardized") ), list("A", c("y1", "y2")) ))
> ## stopifnot( is.null( names( support(asy_qdr_m) ) )) # NA
> stopifnot( is.null( names( dperm(asy_qdr_m, x = s) ) ))
> stopifnot(identical( names( dperm(asy_qdr_m, x = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( dperm(asy_qdr_m, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( dperm(asy_qdr_m, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( pperm(asy_qdr_m, q = s) ) ))
> stopifnot(identical( names( pperm(asy_qdr_m, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(asy_qdr_m, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(asy_qdr_m, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(asy_qdr_m, p = 0.75) ) ))
> stopifnot(identical( names( qperm(asy_qdr_m, p = c(s = 0.75)) ), "s" ))
> stopifnot( is.null(dimnames( qperm(asy_qdr_m, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(asy_qdr_m, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( rperm(asy_qdr_m, n = 5) ) ))
> stopifnot( is.null( names( pvalue(asy_qdr_m, method = "global") ) ))
> stopifnot( is.null( names( pvalue(asy_qdr_m, method = "single-step") ) ))
> stopifnot( is.null( names( pvalue(asy_qdr_m, method = "step-down") ) ))
> stopifnot( is.null( names( pvalue(asy_qdr_m, method = "unadjusted") ) ))
> ## stopifnot( is.null( names( midpvalue(asy_qdr_m) ) )) # NA
> ## stopifnot(identical( names(pvalue_interval(asy_qdr_m) ), c("p_0", "p_1") )) # NA
> ## stopifnot( is.null( names( size(asy_qdr_m, alpha = 0.05) ) )) # NA
> rm(asy_qdr_m, s)
>
>
> ###
> ### Approximate
> ###
>
> ### Scalar
> app_scl <- independence_test(y1 ~ x, distr = "approximate")
> s <- statistic(app_scl)
>
> stopifnot(identical(dimnames( expectation(app_scl) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(app_scl) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(app_scl) ), list("A", "A") ))
> stopifnot( is.null( names( statistic(app_scl, type = "test") ) )) # named in < 1.3-0
> stopifnot(identical(dimnames( statistic(app_scl, type = "linear") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(app_scl, type = "centered") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(app_scl, type = "standardized") ), list("A", "") ))
> stopifnot( is.null( names( support(app_scl) ) ))
> stopifnot( is.null( names( dperm(app_scl, x = s) ) ))
> stopifnot(identical( names( dperm(app_scl, x = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( dperm(app_scl, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( dperm(app_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( pperm(app_scl, q = s) ) ))
> stopifnot(identical( names( pperm(app_scl, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(app_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(app_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(app_scl, p = 0.75) ) ))
> stopifnot(identical( names( qperm(app_scl, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
> stopifnot( is.null(dimnames( qperm(app_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(app_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( rperm(app_scl, n = 5) ) ))
> stopifnot( is.null( names( pvalue(app_scl, method = "global") ) ))
> stopifnot( is.null( names( pvalue(app_scl, method = "single-step") ) ))
> stopifnot( is.null( names( pvalue(app_scl, method = "step-down") ) ))
> stopifnot( is.null( names( pvalue(app_scl, method = "unadjusted") ) ))
> stopifnot( is.null( names( midpvalue(app_scl) ) ))
> stopifnot(identical( names(pvalue_interval(app_scl) ), c("p_0", "p_1") ))
> stopifnot( is.null( names( size(app_scl, alpha = 0.05) ) ))
> rm(app_scl, s)
>
> ### Quadratic univariate
> app_qdr_u <- independence_test(y1 ~ x, distr = "approximate", teststat = "quadratic")
> s <- statistic(app_qdr_u)
>
> stopifnot(identical(dimnames( expectation(app_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(app_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(app_qdr_u) ), list("A", "A") ))
> stopifnot( is.null( names( statistic(app_qdr_u, type = "test") ) ))
> stopifnot(identical(dimnames( statistic(app_qdr_u, type = "linear") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(app_qdr_u, type = "centered") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(app_qdr_u, type = "standardized") ), list("A", "") ))
> stopifnot( is.null( names( support(app_qdr_u) ) ))
> stopifnot( is.null( names( dperm(app_qdr_u, x = s) ) ))
> stopifnot(identical( names( dperm(app_qdr_u, x = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( dperm(app_qdr_u, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( dperm(app_qdr_u, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( pperm(app_qdr_u, q = s) ) ))
> stopifnot(identical( names( pperm(app_qdr_u, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(app_qdr_u, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(app_qdr_u, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(app_qdr_u, p = 0.75) ) ))
> stopifnot(identical( names( qperm(app_qdr_u, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
> stopifnot( is.null(dimnames( qperm(app_qdr_u, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(app_qdr_u, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( rperm(app_qdr_u, n = 5) ) ))
> stopifnot( is.null( names( pvalue(app_qdr_u, method = "global") ) ))
> stopifnot( is.null( names( pvalue(app_qdr_u, method = "single-step") ) ))
> stopifnot( is.null( names( pvalue(app_qdr_u, method = "step-down") ) ))
> stopifnot( is.null( names( pvalue(app_qdr_u, method = "unadjusted") ) ))
> stopifnot( is.null( names( midpvalue(app_qdr_u) ) ))
> stopifnot(identical( names(pvalue_interval(app_qdr_u) ), c("p_0", "p_1") ))
> stopifnot( is.null( names( size(app_qdr_u, alpha = 0.05) ) ))
> rm(app_qdr_u, s)
>
> ### Maximum
> app_mxm <- independence_test(y1 + y2 ~ x, distr = "approximate", teststat = "maximum")
> s <- statistic(app_mxm)
>
> stopifnot(identical(dimnames( expectation(app_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(app_mxm) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(app_mxm) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
> stopifnot( is.null( names( statistic(app_mxm, type = "test") ) ))
> stopifnot(identical(dimnames( statistic(app_mxm, type = "linear") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( statistic(app_mxm, type = "centered") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( statistic(app_mxm, type = "standardized") ), list("A", c("y1", "y2")) ))
> stopifnot( is.null( names( support(app_mxm) ) ))
> stopifnot( is.null( names( dperm(app_mxm, x = s) ) ))
> stopifnot(identical( names( dperm(app_mxm, x = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( dperm(app_mxm, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( dperm(app_mxm, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( pperm(app_mxm, q = s) ) ))
> stopifnot(identical( names( pperm(app_mxm, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(app_mxm, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(app_mxm, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(app_mxm, p = 0.75) ) ))
> stopifnot(identical( names( qperm(app_mxm, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
> stopifnot( is.null(dimnames( qperm(app_mxm, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(app_mxm, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( rperm(app_mxm, n = 5) ) ))
> stopifnot( is.null( names( pvalue(app_mxm, method = "global") ) ))
> stopifnot(identical(dimnames( pvalue(app_mxm, method = "single-step") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( pvalue(app_mxm, method = "step-down") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( pvalue(app_mxm, method = "unadjusted") ), list("A", c("y1", "y2")) ))
> stopifnot( is.null( names( midpvalue(app_mxm) ) ))
> stopifnot(identical( names(pvalue_interval(app_mxm) ), c("p_0", "p_1") ))
> stopifnot( is.null( names( size(app_mxm, alpha = 0.05) ) ))
> rm(app_mxm, s)
>
> ### Quadratic multivariate
> app_qdr_m <- independence_test(y1 + y2 ~ x, distr = "approximate", teststat = "quadratic")
> s <- statistic(app_qdr_m)
>
> stopifnot(identical(dimnames( expectation(app_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(app_qdr_m) ), list("A", c("y1", "y2")) )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(app_qdr_m) ), list(c("A:y1", "A:y2"), c("A:y1", "A:y2")) ))
> stopifnot( is.null( names( statistic(app_qdr_m, type = "test") ) ))
> stopifnot(identical(dimnames( statistic(app_qdr_m, type = "linear") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( statistic(app_qdr_m, type = "centered") ), list("A", c("y1", "y2")) ))
> stopifnot(identical(dimnames( statistic(app_qdr_m, type = "standardized") ), list("A", c("y1", "y2")) ))
> stopifnot( is.null( names( support(app_qdr_m) ) ))
> stopifnot( is.null( names( dperm(app_qdr_m, x = s) ) ))
> stopifnot(identical( names( dperm(app_qdr_m, x = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( dperm(app_qdr_m, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( dperm(app_qdr_m, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( pperm(app_qdr_m, q = s) ) ))
> stopifnot(identical( names( pperm(app_qdr_m, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(app_qdr_m, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(app_qdr_m, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(app_qdr_m, p = 0.75) ) ))
> stopifnot(identical( names( qperm(app_qdr_m, p = c(s = 0.75)) ), "s" )) # unnamed in < 1.3-0
> stopifnot( is.null(dimnames( qperm(app_qdr_m, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(app_qdr_m, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( rperm(app_qdr_m, n = 5) ) ))
> stopifnot( is.null( names( pvalue(app_qdr_m, method = "global") ) ))
> stopifnot( is.null( names( pvalue(app_qdr_m, method = "single-step") ) ))
> stopifnot( is.null( names( pvalue(app_qdr_m, method = "step-down") ) ))
> stopifnot( is.null( names( pvalue(app_qdr_m, method = "unadjusted") ) ))
> stopifnot( is.null( names( midpvalue(app_qdr_m) ) ))
> stopifnot(identical( names(pvalue_interval(app_qdr_m) ), c("p_0", "p_1") ))
> stopifnot( is.null( names( size(app_qdr_m, alpha = 0.05) ) ))
> rm(app_qdr_m, s)
>
>
> ###
> ### Exact using shift algorithm
> ###
>
> ### Scalar
> shf_scl <- independence_test(y1 ~ x, distr = exact(algo = "shift"))
> s <- statistic(shf_scl)
>
> stopifnot(identical(dimnames( expectation(shf_scl) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(shf_scl) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(shf_scl) ), list("A", "A") ))
> stopifnot( is.null( names( statistic(shf_scl, type = "test") ) )) # named in < 1.3-0
> stopifnot(identical(dimnames( statistic(shf_scl, type = "linear") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(shf_scl, type = "centered") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(shf_scl, type = "standardized") ), list("A", "") ))
> stopifnot( is.null( names( support(shf_scl) ) ))
> stopifnot( is.null( names( dperm(shf_scl, x = s) ) ))
> stopifnot(identical( names( dperm(shf_scl, x = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( dperm(shf_scl, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( dperm(shf_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( pperm(shf_scl, q = s) ) ))
> stopifnot(identical( names( pperm(shf_scl, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(shf_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(shf_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(shf_scl, p = 0.75) ) ))
> stopifnot(identical( names( qperm(shf_scl, p = c(s = 0.75)) ), "s" ))
> stopifnot( is.null(dimnames( qperm(shf_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(shf_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( rperm(shf_scl, n = 5) ) ))
> stopifnot( is.null( names( pvalue(shf_scl, method = "global") ) ))
> stopifnot( is.null( names( pvalue(shf_scl, method = "single-step") ) ))
> stopifnot( is.null( names( pvalue(shf_scl, method = "step-down") ) ))
> stopifnot( is.null( names( pvalue(shf_scl, method = "unadjusted") ) ))
> stopifnot( is.null( names( midpvalue(shf_scl) ) ))
> stopifnot(identical( names(pvalue_interval(shf_scl) ), c("p_0", "p_1") ))
> stopifnot( is.null( names( size(shf_scl, alpha = 0.05) ) ))
> rm(shf_scl, s)
>
> ### Quadratic univarite
> shf_qdr_u <- independence_test(y1 ~ x, distr = exact(algo = "shift"), teststat = "quadratic")
> s <- statistic(shf_qdr_u)
>
> stopifnot(identical(dimnames( expectation(shf_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(shf_qdr_u) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(shf_qdr_u) ), list("A", "A") ))
> stopifnot( is.null( names( statistic(shf_qdr_u, type = "test") ) ))
> stopifnot(identical(dimnames( statistic(shf_qdr_u, type = "linear") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(shf_qdr_u, type = "centered") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(shf_qdr_u, type = "standardized") ), list("A", "") ))
> stopifnot( is.null( names( support(shf_qdr_u) ) ))
> stopifnot( is.null( names( dperm(shf_qdr_u, x = s) ) ))
> stopifnot(identical( names( dperm(shf_qdr_u, x = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( dperm(shf_qdr_u, x = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( dperm(shf_qdr_u, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( pperm(shf_qdr_u, q = s) ) ))
> stopifnot(identical( names( pperm(shf_qdr_u, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(shf_qdr_u, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(shf_qdr_u, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(shf_qdr_u, p = 0.75) ) ))
> stopifnot(identical( names( qperm(shf_qdr_u, p = c(s = 0.75)) ), "s" ))
> stopifnot( is.null(dimnames( qperm(shf_qdr_u, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(shf_qdr_u, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( rperm(shf_qdr_u, n = 5) ) ))
> stopifnot( is.null( names( pvalue(shf_qdr_u, method = "global") ) ))
> stopifnot( is.null( names( pvalue(shf_qdr_u, method = "single-step") ) ))
> stopifnot( is.null( names( pvalue(shf_qdr_u, method = "step-down") ) ))
> stopifnot( is.null( names( pvalue(shf_qdr_u, method = "unadjusted") ) ))
> stopifnot( is.null( names( midpvalue(shf_qdr_u) ) ))
> stopifnot(identical( names(pvalue_interval(shf_qdr_u) ), c("p_0", "p_1") ))
> stopifnot( is.null( names( size(shf_qdr_u, alpha = 0.05) ) ))
> rm(shf_qdr_u, s)
>
>
> ###
> ### Exact using split-up algorithm
> ###
>
> ### Scalar
> spl_scl <- independence_test(y1 ~ x, distr = exact(algo = "split"))
> s <- statistic(spl_scl)
>
> stopifnot(identical(dimnames( expectation(spl_scl) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( variance(spl_scl) ), list("A", "") )) # non-matrix in < 1.4-0
> stopifnot(identical(dimnames( covariance(spl_scl) ), list("A", "A") ))
> stopifnot( is.null( names( statistic(spl_scl, type = "test") ) )) # named in < 1.3-0
> stopifnot(identical(dimnames( statistic(spl_scl, type = "linear") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(spl_scl, type = "centered") ), list("A", "") ))
> stopifnot(identical(dimnames( statistic(spl_scl, type = "standardized") ), list("A", "") ))
> ## stopifnot( is.null( names( support(spl_scl) ) )) # NA
> ## stopifnot( is.null( names( dperm(spl_scl, x = s) ) )) # NA
> ## stopifnot(identical( names( dperm(spl_scl, x = c(s = s)) ), "s" )) # NA
> ## stopifnot( is.null(dimnames( dperm(spl_scl, x = matrix(s, nrow = 1)) ) )) # NA
> ## stopifnot(identical(dimnames( dperm(spl_scl, x = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # NA
> stopifnot( is.null( names( pperm(spl_scl, q = s) ) ))
> stopifnot(identical( names( pperm(spl_scl, q = c(s = s)) ), "s" ))
> stopifnot( is.null(dimnames( pperm(spl_scl, q = matrix(s, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( pperm(spl_scl, q = matrix(s, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( qperm(spl_scl, p = 0.75) ) ))
> stopifnot(identical( names( qperm(spl_scl, p = c(s = 0.75)) ), "s" ))
> stopifnot( is.null(dimnames( qperm(spl_scl, p = matrix(0.75, nrow = 1)) ) )) # non-matrix in < 1.3-1
> stopifnot(identical(dimnames( qperm(spl_scl, p = matrix(0.75, nrow = 1, dimnames = list("s", NULL))) ), list("s", NULL) )) # non-matrix in < 1.3-1
> stopifnot( is.null( names( rperm(spl_scl, n = 5) ) ))
> stopifnot( is.null( names( pvalue(spl_scl, method = "global") ) ))
> stopifnot( is.null( names( pvalue(spl_scl, method = "single-step") ) ))
> stopifnot( is.null( names( pvalue(spl_scl, method = "step-down") ) ))
> stopifnot( is.null( names( pvalue(spl_scl, method = "unadjusted") ) ))
> ## stopifnot( is.null( names( midpvalue(spl_scl) ) )) # NA
> ## stopifnot(identical( names(pvalue_interval(spl_scl) ), c("p_0", "p_1") )) # NA
> ## stopifnot( is.null( names( size(spl_scl, alpha = 0.05) ) )) # NA
> rm(spl_scl, s)
>
> proc.time()
user system elapsed
2.15 0.15 2.29
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