Nothing
Sys.getenv("R_LIBS")
library()
require("GPArotation")
search()
Sys.info()
fuzz <- 1e-6
all.ok <- TRUE
data(WansbeekMeijer, package="GPArotation")
fa.none <- factanal(factors=2, covmat=NetherlandsTV, rotation="none")
tst <- t(matrix(c(
0.6972803, -0.3736554,
0.7774628, -0.3184149,
0.6832300, -0.3620428,
0.6612198, 0.2361132,
0.6972393, 0.3026050,
0.7100285, 0.4059509,
0.6353584, 0.3526947
), 2, 7))
if( fuzz < max(abs(fa.none$loadings - tst))) {
cat("Calculated value is not the same as test value in test WansbeekMeijer 1. Value:\n")
print(fa.none$loadings, digits=18)
cat("difference:\n")
print(fa.none$loadings - tst, digits=18)
all.ok <- FALSE
}
fa.varimax <- GPFoblq(fa.none$loadings, method="varimax", normalize=TRUE)
# with eps=1e-8
# tst <- t(matrix(c(
# 0.229695829694226694, -0.757005882905721683,
# 0.325474298411086493, -0.774533969509160203,
# 0.227951538606475851, -0.738861531224136225,
# 0.634850649690308022, -0.299876110481063607,
# 0.707312661165822032, -0.278246783076943283,
# 0.789359884149245072, -0.214120439603779994,
# 0.698885205896135120, -0.199081171877497243
# ), 2, 7))
# with eps=1e-5
tst <- t(matrix(c(
0.229698038368303409, -0.757005212686898243,
0.325476558225504142, -0.774533019824047542,
0.227953694341768043, -0.738860866094951829,
0.634851524619887475, -0.299874258087383661,
0.707313472988376213, -0.278244719250824557,
0.789360508873491518, -0.214118136377292989,
0.698885786741510029, -0.199079132641678647
), 2, 7))
if( fuzz < max(abs(fa.varimax$loadings - tst))) {
cat("Calculated value is not the same as test value in test WansbeekMeijer 2. Value:\n")
print(fa.varimax$loadings, digits=18)
cat("difference:\n")
print(fa.varimax$loadings - tst, digits=18)
all.ok <- FALSE
}
fa.oblimin <- GPFoblq(fa.none$loadings, method="oblimin", normalize=TRUE)
# with eps=1e-8
# tst <- t(matrix(c(
# -0.0244898894997362740, -0.8055076884898763057,
# 0.0821776433220552660, -0.7883517482514345032,
# -0.0194442483441249758, -0.7847120136813017233,
# 0.6350106056917923514, -0.1038114236654337219,
# 0.7293893902400611085, -0.0495156037400738894,
# 0.8517915457391848078, 0.0588983480418694277,
# 0.7504355940804637859, 0.0408946221245683056
# ), 2, 7))
# with eps=1e-5
tst <- t(matrix(c(
-0.0244886312423446446, -0.8055069385602275922,
0.0821788889356081659, -0.7883509906546982693,
-0.0194430219824419312, -0.7847112821295906260,
0.6350108529538124325, -0.1038111848933331444,
0.7293895650539216069, -0.0495153948664520185,
0.8517915670863017708, 0.0588984825074335624,
0.7504356301074717184, 0.0408947509009953206
), 2, 7))
if( fuzz < max(abs(fa.oblimin$loadings - tst))) {
cat("Calculated value is not the same as test value in test WansbeekMeijer 3. Value:\n")
print(fa.oblimin$loadings, digits=18)
cat("difference:\n")
print(fa.oblimin$loadings - tst, digits=18)
all.ok <- FALSE
}
cat("tests completed.\n")
if (! all.ok) stop("some tests FAILED")
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