R Under development (unstable) (2024-02-29 r86017 ucrt) -- "Unsuffered Consequences"
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>  Sys.getenv("R_LIBS")
[1] "D:\\temp\\Rtmpqiwotp\\RLIBS_256f87557c21"
>  library()
>  require("GPArotation")
Loading required package: GPArotation
>  search()
 [1] ".GlobalEnv"          "package:GPArotation" "package:stats"      
 [4] "package:graphics"    "package:grDevices"   "package:utils"      
 [7] "package:datasets"    "package:methods"     "Autoloads"          
[10] "package:base"       
>  Sys.info()
       sysname        release        version       nodename        machine 
     "Windows"   "Server x64"  "build 20348"     "CRANWIN3"       "x86-64" 
         login           user effective_user 
        "CRAN"         "CRAN"         "CRAN" 
> 
>  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")
tests completed.
> 
> if (! all.ok) stop("some tests FAILED")
> 
> 
> proc.time()
   user  system elapsed 
   0.15    0.07    0.23