#'
#' Header for all (concatenated) test files
#'
#' Require spatstat.explore
#' Obtain environment variable controlling tests.
#'
#' $Revision: 1.5 $ $Date: 2020/04/30 05:31:37 $
require(spatstat.explore)
FULLTEST <- (nchar(Sys.getenv("SPATSTAT_TEST", unset="")) > 0)
ALWAYS <- TRUE
cat(paste("--------- Executing",
if(FULLTEST) "** ALL **" else "**RESTRICTED** subset of",
"test code -----------\n"))
##
## tests/gcc323.R
##
## $Revision: 1.3 $ $Date: 2020/04/28 12:58:26 $
##
if(ALWAYS) { # depends on hardware
local({
# critical R values that provoke GCC bug #323
a <- marktable(lansing, R=0.25)
a <- marktable(lansing, R=0.21)
a <- marktable(lansing, R=0.20)
a <- marktable(lansing, R=0.10)
})
}
#' tests/hypotests.R
#' Hypothesis tests
#'
#' $Revision: 1.9 $ $Date: 2020/11/02 06:39:23 $
if(FULLTEST) {
local({
hopskel.test(redwood, method="MonteCarlo", nsim=5)
#' quadrat test - spatial methods
a <- quadrat.test(redwood, 3)
domain(a)
shift(a, c(1,1))
#' cases of studpermu.test
#' X is a hyperframe
b <- studpermu.test(pyramidal, nperm=9)
b <- studpermu.test(pyramidal, nperm=9, use.Tbar=TRUE)
#' X is a list of lists of ppp
ZZ <- split(pyramidal$Neurons, pyramidal$group)
bb <- studpermu.test(ZZ, nperm=9)
#' Issue #115
X <- runifpoint(50, nsim = 3)
Y <- runifpoint(3000, nsim = 3)
h <- hyperframe(ppp = c(X, Y), group = rep(1:2, 3))
studpermu.test(h, ppp ~ group)
#' scan test
Z <- scanmeasure(cells, 0.1, method="fft")
rr <- c(0.05, 1)
scan.test(amacrine, rr, nsim=5,
method="binomial", alternative="less")
})
}
#
# tests/imageops.R
#
# $Revision: 1.40 $ $Date: 2022/10/23 01:57:03 $
#
if(FULLTEST) {
local({
#' case of "[.im" and "[<-.im" where index is an ssf
d <- distmap(cells, dimyx=32)
Empty <- cells[FALSE]
EmptyFun <- ssf(Empty, numeric(0))
ff <- d[EmptyFun]
d[EmptyFun] <- 42
#' Smooth.im -> blur.im with sigma=NULL
Z <- as.im(function(x,y) { x - y }, letterR, dimyx=32)
ZS <- Smooth(Z)
#' deprecated -> im.apply(DA, which.max)
Z <- which.max.im(bei.extra)
#' rotmean
U <- rotmean(Z, origin="midpoint", result="im", padzero=FALSE)
#' cases of distcdf
distcdf(cells[1:5])
distcdf(W=cells[1:5], dW=1:5)
distcdf(W=Window(cells), V=cells[1:5])
distcdf(W=Window(cells), V=cells[1:5], dV=1:5)
})
}
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