CRAN Package Check Results for Package clusternor

Last updated on 2019-08-20 05:47:03 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.0-3 73.34 30.60 103.94 NOTE
r-devel-linux-x86_64-debian-gcc 0.0-3 58.36 23.23 81.59 NOTE
r-devel-linux-x86_64-fedora-clang 0.0-3 181.89 NOTE
r-devel-linux-x86_64-fedora-gcc 0.0-3 148.13 NOTE
r-devel-windows-ix86+x86_64 0.0-3 233.00 104.00 337.00 NOTE
r-patched-linux-x86_64 0.0-3 66.04 28.88 94.92 NOTE
r-patched-solaris-x86 0.0-3 143.80 ERROR
r-release-linux-x86_64 0.0-3 64.27 28.26 92.53 NOTE
r-release-windows-ix86+x86_64 0.0-3 171.00 62.00 233.00 NOTE
r-release-osx-x86_64 0.0-3 NOTE
r-oldrel-windows-ix86+x86_64 0.0-3 221.00 78.00 299.00 NOTE
r-oldrel-osx-x86_64 0.0-3 NOTE

Check Details

Version: 0.0-3
Check: for GNU extensions in Makefiles
Result: NOTE
    GNU make is a SystemRequirements.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-release-osx-x86_64, r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64

Version: 0.0-3
Check: installed package size
Result: NOTE
     installed size is 6.7Mb
     sub-directories of 1Mb or more:
     libs 6.5Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-release-osx-x86_64

Version: 0.0-3
Check: tests
Result: ERROR
     Running ‘testthat.R’ [0m/180m]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(clusternor)
     Loading required package: Rcpp
     >
     > test_check("clusternor")
    
    
     ***Running test for fcmeans***
    
     Data ==> memory, centroids ==> memory
    
     Data ==> memory, centroids ==> memory
    
     Data ==> memory, centroids ==> compute
    
     $nrow
     [1] 50
    
     $ncol
     [1] 5
    
     $iters
     [1] 17
    
     $k
     [1] 8
    
     $centers
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [2,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [3,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [4,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [5,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [6,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [7,] 1.944158 1.873933 1.811169 1.829127 1.705402
     [8,] 1.944158 1.873933 1.811169 1.829127 1.705401
    
     $cluster
     [1] 7 3 7 7 3 7 7 7 7 3 7 3 7 3 3 7 3 7 3 7 3 7 7 3 3 7 7 3 3 3 7 3 3 7 3 7 3 3
     [39] 7 3 3 3 3 3 7 3 3 3 3 3
    
     $size
     [1] 0 0 29 0 0 0 21 0
    
     Data ==> memory, centroids ==> compute
    
     $nrow
     [1] 50
    
     $ncol
     [1] 5
    
     $iters
     [1] 17
    
     $k
     [1] 8
    
     $centers
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [2,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [3,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [4,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [5,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [6,] 1.944158 1.873933 1.811169 1.829127 1.705401
     [7,] 1.944158 1.873933 1.811169 1.829127 1.705402
     [8,] 1.944158 1.873933 1.811169 1.829127 1.705401
    
     $cluster
     [1] 7 3 7 7 3 7 7 7 7 3 7 3 7 3 3 7 3 7 3 7 3 7 7 3 3 7 7 3 3 3 7 3 3 7 3 7 3 3
     [39] 7 3 3 3 3 3 7 3 3 3 3 3
    
     $size
     [1] 0 0 29 0 0 0 21 0
    
     Data ==> disk, centroids ==> compute
    
     $nrow
     [1] 50
    
     $ncol
     [1] 5
    
     $iters
     [1] 21
    
     $k
     [1] 8
    
     $centers
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.639221 1.559834 1.690042 1.786238 1.736279
     [2,] 1.639077 1.559679 1.690646 1.783806 1.738808
     [3,] 1.639072 1.559676 1.690663 1.783734 1.738881
     [4,] 1.639089 1.559687 1.690603 1.783979 1.738629
     [5,] 1.639088 1.559687 1.690607 1.783966 1.738643
     [6,] 1.639089 1.559687 1.690603 1.783981 1.738629
     [7,] 1.639078 1.559680 1.690641 1.783825 1.738789
     [8,] 1.639115 1.559710 1.690507 1.784370 1.738225
    
     $cluster
     [1] 3 3 3 3 1 1 3 3 1 3 3 1 1 3 3 1 3 3 1 3 1 1 1 3 3 1 3 3 1 3 3 3 3 1 1 1 3 3
     [39] 1 3 1 1 3 3 1 3 1 1 3 3
    
     $size
     [1] 21 0 29 0 0 0 0 0
    
     Data ==> disk, centroids ==> compute
    
     $nrow
     [1] 50
    
     $ncol
     [1] 5
    
     $iters
     [1] 21
    
     $k
     [1] 8
    
     $centers
     [,1] [,2] [,3] [,4] [,5]
     [1,] 1.548574 1.487166 2.445550 1.085034 2.042715
     [2,] 1.640020 1.547824 1.702029 1.790906 1.724251
     [3,] 1.639560 1.549367 1.703571 1.785795 1.728055
     [4,] 1.641571 1.540286 1.696512 1.803413 1.718341
     [5,] 1.639806 1.550726 1.701379 1.794499 1.718218
     [6,] 1.639806 1.550727 1.701374 1.794516 1.718200
     [7,] 1.639807 1.550704 1.701433 1.794300 1.718434
     [8,] 1.639716 1.550007 1.703228 1.787435 1.725812
    
     $cluster
     [1] 4 3 3 3 4 4 3 1 6 3 4 4 6 3 4 4 4 3 4 3 4 6 8 3 4 6 8 3 6 3 3 4 3 6 4 4 3 3
     [39] 6 8 6 4 3 3 6 8 4 4 3 3
    
     $size
     [1] 1 0 19 17 0 9 0 4
    
     ── 1. Failure: data EM compared to same (@test-fuzzy-cmeans.R#76) ─────────────
     `ret1` not identical to `ret2`.
     Component "centers": Mean relative difference: 0.03371783
     Component "cluster": Mean relative difference: 2.117647
     Component "size": Mean relative difference: 1.2
    
    
    
     ***Running test for hmeans***
    
     Data ==> ,centroids ==> memory
    
     $nrow
     [1] 50
    
     $ncol
     [1] 5
    
     $iters
     [1] 20
    
     $k
     [1] 8
    
     $centers
     [,1] [,2] [,3] [,4] [,5]
     [1,] 2.426766 2.953499 4.043335 2.244559 3.710492
     [2,] 4.122332 2.465384 3.589322 2.166748 3.575502
     [3,] 2.626000 3.584148 2.022466 2.295955 4.134119
     [4,] 1.943198 1.376050 2.189751 3.513497 4.592882
     [5,] 4.307359 2.781234 3.196755 4.311270 3.415023
     [6,] 2.795000 3.228041 4.430282 4.288907 1.526741
     [7,] 1.580627 3.095462 1.962946 4.057300 1.642651
     [8,] 2.477416 2.417114 2.200970 4.737974 2.761689
    
     $cluster
     [1] 5 1 3 2 7 8 1 1 8 1 4 7 6 1 5 5 5 1 5 2 6 5 2 3 4 5 1 2 7 3 3 4 3 7 5 8 1 1
     [39] 6 5 5 6 2 3 7 3 5 7 2 3
    
     $size
     [1] 9 6 8 3 11 4 6 3
    
     Data ==> memory, centroids ==> memory
    
     $nrow
     [1] 50
    
     $ncol
     [1] 5
    
     $iters
     [1] 20
    
     $k
     [1] 8
    
     $centers
     [,1] [,2] [,3] [,4] [,5]
     [1,] 2.888524 2.603497 2.066828 2.375178 4.408128
     [2,] 2.221906 3.679545 2.487253 2.001356 4.078200
     [3,] 3.363949 1.514688 3.809288 1.941361 3.547053
     [4,] 2.513951 3.081818 4.215258 1.409905 3.593325
     [5,] 1.676915 3.191770 2.080428 4.447292 2.429021
     [6,] 3.672408 1.905373 2.369369 4.077653 2.867364
     [7,] 3.815225 4.217887 1.862281 2.514782 2.702868
     [8,] 3.703079 4.045515 3.700746 3.861883 2.418166
    
     $cluster
     [1] 1 6 3 4 7 4 3 3 2 6 3 8 2 7 6 7 6 7 5 4 5 1 4 8 8 4 4 8 8 5 1 6 8 2 7 8 6 8
     [39] 1 8 7 8 5 8 2 8 6 8 5 8
    
     $size
     [1] 4 4 4 6 5 7 6 14
    
     Data ==> memory, centroids ==> memory
    
     $nrow
     [1] 50
    
     $ncol
     [1] 5
    
     $iters
     [1] 20
    
     $k
     [1] 8
    
     $centers
     [,1] [,2] [,3] [,4] [,5]
     [1,] 2.888524 2.603497 2.066828 2.375178 4.408128
     [2,] 2.221906 3.679545 2.487253 2.001356 4.078200
     [3,] 3.363949 1.514688 3.809288 1.941361 3.547053
     [4,] 2.513951 3.081818 4.215258 1.409905 3.593325
     [5,] 1.676915 3.191770 2.080428 4.447292 2.429021
     [6,] 3.672408 1.905373 2.369369 4.077653 2.867364
     [7,] 3.815225 4.217887 1.862281 2.514782 2.702868
     [8,] 3.703079 4.045515 3.700746 3.861883 2.418166
    
     $cluster
     [1] 1 6 3 4 7 4 3 3 2 6 3 8 2 7 6 7 6 7 5 4 5 1 4 8 8 4 4 8 8 5 1 6 8 2 7 8 6 8
     [39] 1 8 7 8 5 8 2 8 6 8 5 8
    
     $size
     [1] 4 4 4 6 5 7 6 14
    
     Data ==> memory, centroids ==> compute
    
     $nrow
     [1] 50
    
     $ncol
     [1] 5
    
     $iters
     [1] 20
    
     $k
     [1] 8
    
     $centers
     [,1] [,2] [,3] [,4] [,5]
     [1,] 4.318027 3.274617 3.602438 4.262944 3.290726
     [2,] 4.269881 4.268848 2.425307 3.481196 2.341417
     [3,] 4.132397 1.768855 4.801009 1.373922 4.613465
     [4,] 4.193760 3.652908 4.680513 1.539610 4.934383
     [5,] 2.270267 3.412114 2.075016 3.820038 3.503621
     [6,] 2.111149 2.999140 1.868376 3.905545 1.677061
     [7,] 2.279295 3.155427 3.458205 1.953112 3.614739
     [8,] 3.067549 2.376654 2.715911 1.486537 2.405939
    
     $cluster
     [1] 1 5 3 4 2 7 8 8 7 6 7 2 7 8 1 2 1 8 6 7 6 8 7 1 7 7 7 6 1 5 7 1 1 5 2 8 6 1
     [39] 7 1 5 1 5 2 7 6 1 2 5 1
    
     $size
     [1] 12 6 1 1 6 6 12 6
    
     Data ==> memory, centroids ==> compute
    
     $nrow
     [1] 50
    
     $ncol
     [1] 5
    
     $iters
     [1] 20
    
     $k
     [1] 8
    
     $centers
     [,1] [,2] [,3] [,4] [,5]
     [1,] 4.318027 3.274617 3.602438 4.262944 3.290726
     [2,] 4.269881 4.268848 2.425307 3.481196 2.341417
     [3,] 4.132397 1.768855 4.801009 1.373922 4.613465
     [4,] 4.193760 3.652908 4.680513 1.539610 4.934383
     [5,] 2.270267 3.412114 2.075016 3.820038 3.503621
     [6,] 2.111149 2.999140 1.868376 3.905545 1.677061
     [7,] 2.279295 3.155427 3.458205 1.953112 3.614739
     [8,] 3.067549 2.376654 2.715911 1.486537 2.405939
    
     $cluster
     [1] 1 5 3 4 2 7 8 8 7 6 7 2 7 8 1 2 1 8 6 7 6 8 7 1 7 7 7 6 1 5 7 1 1 5 2 8 6 1
     [39] 7 1 5 1 5 2 7 6 1 2 5 1
    
     $size
     [1] 12 6 1 1 6 6 12 6
    
     Data ==> test.data.bin , centroids ==> compute
    
     $nrow
     [1] 50
    
     $ncol
     [1] 5
    
     $iters
     [1] 20
    
     $k
     [1] 8
    
     $centers
     [,1] [,2] [,3] [,4] [,5]
     [1,] 4.558290 3.366808 4.267130 4.358562 4.008078
     [2,] 4.168830 2.707612 3.295831 3.355779 2.900720
     [3,] 2.840925 1.679445 3.518764 4.744002 1.590549
     [4,] 2.933031 1.435231 2.307501 4.381139 4.365722
     [5,] 2.483710 2.725254 3.572734 2.464197 3.162331
     [6,] 1.592081 2.303133 2.266422 4.066587 1.733709
     [7,] 2.449150 4.140533 1.550568 3.287508 2.548211
     [8,] 3.012037 3.752096 3.148389 2.154862 4.366184
    
     Execution halted
Flavor: r-patched-solaris-x86