• using R Under development (unstable) (2012-02-23 r58468)
• using platform: i686-pc-linux-gnu (32-bit)
• using session charset: UTF-8
• checking for file ‘siatclust/DESCRIPTION’ ... OK
• this is package ‘siatclust’ version ‘1.0.5’
• checking package namespace information ... OK
• checking package dependencies ... OK
• checking if this is a source package ... OK
• checking if there is a namespace ... OK
• checking for executable files ... OK
• checking whether package ‘siatclust’ can be installed ... OK
• checking installed package size ... OK
• checking package directory ... OK
• checking for portable file names ... OK
• checking for sufficient/correct file permissions ... OK
• checking DESCRIPTION meta-information ... OK
• checking top-level files ... OK
• checking index information ... OK
• checking package subdirectories ... OK
• checking R files for non-ASCII characters ... OK
• checking R files for syntax errors ... OK
• checking whether the package can be loaded ... OK
• checking whether the package can be loaded with stated dependencies ... OK
• checking whether the package can be unloaded cleanly ... OK
• checking whether the namespace can be loaded with stated dependencies ... OK
• checking whether the namespace can be unloaded cleanly ... OK
• checking for unstated dependencies in R code ... OK
• checking S3 generic/method consistency ... OK
• checking replacement functions ... OK
• checking foreign function calls ... OK
• checking R code for possible problems ... NOTE
  plot.ewkm: warning in heatmap(x, col = cm.colors(256), scale =
  "column", RowSideColors = rc, ColSideColors = cc, margin = c(5, 10),
  xlab = "Cluster", ...): partial argument match of 'margin' to
  'margins'
• checking Rd files ... OK
• checking Rd metadata ... OK
• checking Rd cross-references ... OK
• checking for missing documentation entries ... OK
• checking for code/documentation mismatches ... OK
• checking Rd \usage sections ... OK
• checking Rd contents ... OK
• checking for unstated dependencies in examples ... OK
• checking contents of ‘data’ directory ... OK
• checking data for non-ASCII characters ... OK
• checking data for ASCII and uncompressed saves ... OK
• checking line endings in C/C++/Fortran sources/headers ... OK
• checking line endings in Makefiles ... OK
• checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
• checking compiled code ... OK
• checking examples ... [1s/1s] OK
• checking for unstated dependencies in tests ... OK
• checking tests ... [1s/1s] OK
  Running ‘ewkm01.R’ [1s/1s]
  Comparing ‘ewkm01.Rout’ to ‘ewkm01.Rout.save’ ...12c12
  < K-means clustering with 3 clusters of sizes 88, 91, 69
  ---
  > K-means clustering with 5 clusters of sizes 91, 28, 36, 65, 28
  16,18c16,20
  < 1 2.447727 16.58068 0.7250000 3.136364 8.323864 34.51136 7.772727
  < 2 11.019780 26.68681 0.8549451 6.670330 10.505495 44.52747 10.043956
  < 3 8.027536 16.87971 2.8985507 3.536232 4.579710 40.82609 12.130435
  ---
  > 1 2.263736 15.95055 0.3648352 2.591209 7.453846 31.74725 6.637363
  > 2 9.571429 18.25357 3.6928571 5.028571 6.942857 52.53571 20.464286
  > 3 6.680556 20.77778 1.2333333 5.511111 10.097222 49.11111 14.500000
  > 4 12.253846 28.78615 0.4123077 6.883077 10.607692 40.70769 6.815385
  > 5 9.325000 16.80714 4.7785714 3.735714 2.814286 40.42857 10.464286
  20,22c22,26
  < 1 16.52273 74.75000 40.80682 1023.850 1020.897 3.045455
  < 2 18.81319 62.52747 31.37363 1017.618 1014.376 2.604396
  < 3 19.01449 79.08696 64.21739 1017.328 1015.414 5.942029
  ---
  > 1 15.58242 76.75824 45.83516 1024.531 1021.507 3.494505
  > 2 26.21429 70.50000 51.64286 1012.736 1011.496 5.000000
  > 3 25.80556 59.30556 33.50000 1018.347 1015.625 2.638889
  > 4 14.69231 65.64615 30.52308 1018.662 1015.166 2.553846
  > 5 15.78571 84.42857 73.92857 1015.543 1013.693 7.000000
  24,26c28,32
  < 1 3.250000 8.129545 15.60682
  < 2 2.956044 16.806593 25.38791
  < 3 5.797101 11.565217 15.19420
  ---
  > 1 3.692308 7.848352 14.92088
  > 2 3.928571 13.096429 16.64643
  > 3 3.416667 12.900000 19.65556
  > 4 2.953846 17.790769 27.46308
  > 5 6.928571 12.182143 14.83929
  29,35c35,41
  < [1] 2 1 3 1 3 3 1 3 3 3 2 3 2 2 2 1 2 3 1 1 1 2 2 2 3 3 2 1 2 3 2 1 2 3 3 2 1
  < [38] 1 2 3 2 1 2 3 3 1 3 1 2 1 2 1 2 2 1 2 3 1 1 1 3 3 3 2 3 2 1 2 1 3 2 3 1 2
  < [75] 1 2 1 3 2 1 1 1 2 2 3 2 1 1 1 1 2 3 2 2 3 2 3 1 1 2 1 2 3 1 1 3 1 1 2 2 2
  < [112] 2 2 2 2 2 3 1 1 1 3 3 1 2 1 1 1 1 2 3 2 1 3 1 1 2 2 3 1 2 1 2 1 2 3 2 2 2
  < [149] 1 3 2 2 1 1 1 3 3 2 1 1 3 1 1 3 2 2 2 3 2 2 1 2 1 1 1 2 1 3 1 1 1 3 3 3 2
  < [186] 3 3 1 1 1 1 2 1 3 2 3 2 3 1 1 2 1 3 1 3 3 1 1 2 2 2 3 2 1 2 3 3 2 2 1 1 3
  < [223] 3 3 3 3 2 3 1 2 1 2 2 1 2 3 2 1 2 2 2 2 2 3 3 2 1 3
  ---
  > [1] 3 3 5 1 5 1 1 1 1 5 4 5 3 4 4 1 3 3 1 1 1 3 2 3 5 1 4 1 3 1 4 1 4 2 5 4 1
  > [38] 1 4 5 4 1 4 5 1 1 1 1 4 4 4 1 3 4 1 3 5 4 1 3 5 1 1 4 2 3 3 4 1 2 4 5 1 4
  > [75] 1 3 1 5 3 1 1 1 4 4 1 4 1 1 1 1 3 5 4 4 2 3 1 1 1 4 1 4 1 1 1 5 1 1 3 4 4
  > [112] 4 4 3 2 4 2 1 1 1 5 1 1 4 1 1 1 1 4 5 4 2 2 1 1 2 4 5 1 3 1 4 2 3 2 4 4 4
  > [149] 1 2 4 4 3 2 1 1 5 4 1 2 5 3 1 1 3 3 4 4 4 3 1 4 3 1 1 4 3 5 1 1 1 1 2 2 4
  > [186] 5 5 2 1 1 1 4 1 2 4 2 4 5 3 2 3 1 1 1 2 2 1 1 4 4 3 5 4 1 4 2 1 4 3 2 1 1
  > [223] 2 1 5 1 3 2 3 4 1 4 4 1 3 5 4 1 4 4 3 4 4 5 5 4 2 1
  51c57
  < K-means clustering with 1 clusters of sizes 248
  ---
  > K-means clustering with 2 clusters of sizes 88, 160
  55c61,62
  < 1 1772.1 5052.3 341.6 1127 2004.5 9906 2435
  ---
  > 1 7.297727 16.94432 2.634091 3.752273 5.445455 42.60227 12.60227
  > 2 7.061875 22.25750 0.686250 4.980000 9.533125 38.48125 8.28750
  57c64,65
  < 1 4478 17725 10877 252897.6 252210.7 915
  ---
  > 1 19.94318 78.32955 59.96591 1017.149 1015.022 5.443182
  > 2 17.01875 67.70000 35.00000 1021.178 1018.055 2.725000
  59c67,68
  < 1 955 3042.8 4732.1
  ---
  > 1 5.261364 11.08182 15.36818
  > 2 3.075000 12.92250 21.12313
  62,68c71,77
  < [1] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
  < [38] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
  < [75] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
  < [112] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
  < [149] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
  < [186] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
  < [223] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
  ---
  > [1] 2 2 1 2 1 1 2 1 1 1 2 1 2 2 2 2 2 2 2 2 2 2 1 2 1 1 2 2 2 1 2 2 2 1 1 1 2
  > [38] 2 2 1 2 2 2 1 1 2 2 2 2 2 2 1 2 2 2 2 1 2 2 2 1 1 1 2 1 2 2 2 2 1 2 1 2 2
  > [75] 2 2 2 1 2 2 2 2 2 2 1 2 2 2 2 1 2 1 2 2 1 2 1 2 2 2 2 2 2 2 1 1 2 2 2 2 2
  > [112] 2 2 2 1 2 1 2 2 2 1 1 2 2 2 1 2 2 2 1 2 1 1 2 2 1 2 1 1 2 2 2 2 2 1 2 2 2
  > [149] 2 1 2 2 2 1 1 1 1 2 2 1 1 2 2 1 1 2 2 1 2 2 2 2 1 2 2 2 2 1 2 2 2 1 1 1 2
  > [186] 1 1 1 2 2 1 2 2 1 2 1 2 1 2 1 2 2 1 2 1 1 2 2 2 2 2 1 2 2 2 1 1 2 2 1 2 1
  > [223] 1 1 1 1 2 1 2 2 1 2 2 1 2 1 2 2 2 2 2 2 2 1 1 2 1 1
  79c88
  < 100 50 414
  ---
  > 100 50 319
  84c93
  < K-means clustering with 10 clusters of sizes 17, 36, 5, 58, 29, 23, 20, 21, 11, 28
  ---
  > K-means clustering with 10 clusters of sizes 40, 14, 14, 41, 20, 21, 37, 21, 19, 21
  88,97c97,106
  < 1 15.1588235 24.01176 4.21176471 5.764706 6.435294 50.47059
  < 2 11.9888889 28.95278 0.02777778 6.688889 10.419444 37.19444
  < 3 7.5200000 15.42000 7.28000000 5.320000 7.020000 61.80000
  < 4 1.9189655 16.36552 0.33448276 2.734483 8.087931 30.77586
  < 5 11.1379310 26.96207 0.24827586 7.296552 10.858621 54.93103
  < 6 4.6260870 20.17826 0.32173913 4.730435 10.013043 41.17391
  < 7 10.0350000 21.33500 1.47000000 4.570000 7.780000 37.65000
  < 8 11.0714286 17.77143 4.49523810 4.190476 1.976190 35.95238
  < 9 4.8363636 15.27273 4.43636364 5.036364 9.454545 57.09091
  < 10 0.6464286 12.91429 0.92857143 1.707143 6.053571 33.53571
  ---
  > 1 1.132500 16.07250 0.47000000 2.590000 8.017500 30.72500
  > 2 2.971429 20.25000 0.00000000 4.742857 10.378571 43.21429
  > 3 9.350000 17.53571 8.20000000 4.214286 7.007143 60.78571
  > 4 6.221951 19.31463 0.47804878 3.863415 8.919512 34.63415
  > 5 -0.230000 11.82500 0.19000000 1.810000 6.605000 39.80000
  > 6 9.128571 21.10000 1.43809524 6.028571 9.600000 54.38095
  > 7 12.383784 29.08108 0.62162162 6.562162 10.445946 37.02703
  > 8 14.090476 21.13810 3.27619048 6.066667 3.219048 42.00000
  > 9 12.852632 29.98421 0.07368421 8.389474 11.284211 54.31579
  > 10 5.419048 15.20476 2.91428571 2.247619 3.452381 27.57143
  99,108c108,117
  < 1 14.647059 20.29412 78.23529 55.05882 1011.553 1009.876
  < 2 6.222222 13.55556 66.30556 30.44444 1018.750 1015.178
  < 3 24.400000 25.80000 76.40000 46.60000 1011.500 1011.100
  < 4 6.379310 14.20690 75.43103 41.29310 1025.209 1022.124
  < 5 13.620690 27.10345 54.79310 27.10345 1015.145 1011.931
  < 6 9.173913 18.17391 64.65217 33.17391 1023.965 1020.670
  < 7 11.150000 18.80000 72.45000 44.95000 1018.130 1015.450
  < 8 11.523810 14.42857 80.66667 74.80952 1015.462 1013.810
  < 9 21.727273 27.54545 60.18182 46.81818 1014.509 1013.500
  < 10 5.714286 18.07143 84.64286 60.10714 1023.904 1021.029
  ---
  > 1 5.200000 14.90000 78.87500 41.45000 1023.630 1020.475
  > 2 7.500000 23.50000 61.35714 27.64286 1021.229 1017.371
  > 3 23.214286 25.28571 71.50000 57.35714 1009.121 1008.314
  > 4 10.317073 15.68293 67.48780 40.48780 1023.320 1020.468
  > 5 8.050000 21.55000 79.55000 57.15000 1024.925 1022.480
  > 6 15.904762 23.90476 63.23810 41.38095 1016.476 1014.048
  > 7 5.756757 13.29730 70.32432 30.27027 1018.451 1014.824
  > 8 12.857143 18.23810 78.47619 67.14286 1013.500 1011.900
  > 9 12.789474 24.94737 51.05263 22.42105 1015.005 1011.942
  > 10 7.285714 13.04762 85.90476 66.71429 1022.648 1020.143
  110,119c119,128
  < 1 6.705882 4.529412 17.647059 22.04706
  < 2 2.194444 3.444444 17.597222 27.64444
  < 3 5.200000 3.000000 9.500000 14.12000
  < 4 3.000000 3.103448 7.981034 15.43103
  < 5 2.034483 2.724138 18.124138 25.83793
  < 6 2.260870 2.826087 10.852174 18.95217
  < 7 5.200000 4.500000 14.020000 20.16000
  < 8 7.333333 7.095238 14.076190 15.74286
  < 9 2.636364 3.181818 9.545455 13.72727
  < 10 4.428571 5.035714 5.096429 11.66071
  ---
  > 1 3.050000 3.025000 6.865000 15.16000
  > 2 2.285714 2.571429 10.578571 19.04286
  > 3 4.928571 4.000000 12.835714 15.69286
  > 4 3.121951 3.487805 11.836585 18.20732
  > 5 3.750000 4.450000 4.900000 10.57000
  > 6 3.904762 3.904762 13.323810 19.54762
  > 7 2.702703 3.324324 17.572973 27.87568
  > 8 7.047619 6.476190 16.738095 19.00952
  > 9 1.315789 1.684211 20.226316 28.86316
  > 10 6.380952 6.523810 9.109524 13.90476
  122,131c131,140
  < [1] 6 6 8 4 8 7 4 8 10 10 6 10 6 5 6 4 2 7 7 4 4 6 5 5 8
  < [26] 10 5 4 9 10 2 4 7 9 1 1 4 4 6 8 2 4 2 8 10 4 10 4 2 7
  < [51] 6 10 5 5 10 9 1 6 4 6 10 10 10 7 1 5 6 5 4 1 2 8 4 6 4
  < [76] 2 4 8 2 4 4 4 2 2 8 2 4 6 4 10 5 8 2 2 7 5 10 4 4 2
  < [101] 4 5 4 4 10 8 4 4 5 5 2 5 5 5 3 5 7 4 7 4 8 10 4 2 4
  < [126] 10 4 7 5 8 2 7 1 4 4 1 2 1 4 6 4 1 3 5 1 5 1 2 4 9
  < [151] 2 2 7 9 10 10 1 6 4 9 8 6 6 10 5 9 6 7 6 5 4 2 3 4 4
  < [176] 2 6 8 4 4 4 10 1 1 2 8 8 9 4 4 4 2 4 1 2 3 5 10 6 9
  < [201] 5 4 8 4 9 1 4 4 2 2 5 8 2 4 7 7 4 2 5 7 4 10 1 10 8
  < [226] 10 5 3 6 2 4 2 7 7 6 10 2 7 2 5 9 2 5 10 8 2 7 10
  ---
  > [1] 2 2 8 4 10 4 1 10 10 10 7 10 2 9 2 4 6 4 4 1 1 4 6 9 8
  > [26] 10 7 5 6 5 7 1 7 3 3 6 4 1 7 10 7 4 4 8 5 1 5 1 4 4
  > [51] 7 5 2 9 1 3 3 4 1 2 10 10 5 7 8 2 4 9 1 8 7 10 4 6 4
  > [76] 7 4 8 6 1 1 4 7 6 10 7 1 4 1 5 6 8 7 7 4 6 5 1 1 7
  > [101] 5 9 10 1 5 3 1 1 9 9 7 9 9 9 3 7 4 1 4 1 8 10 1 2 1
  > [126] 1 4 1 9 10 7 4 8 1 1 3 7 8 1 2 1 7 3 6 8 9 6 2 1 3
  > [151] 7 7 4 6 5 5 8 4 4 6 8 2 4 5 6 6 4 4 4 9 4 7 6 4 4
  > [176] 7 4 10 1 5 5 10 8 8 7 10 10 6 1 1 1 7 1 3 7 3 9 5 4 6
  > [201] 6 1 8 1 3 3 1 4 7 7 9 8 9 4 7 8 5 7 9 4 4 10 8 5 8
  > [226] 10 2 3 2 7 1 7 6 4 2 5 7 1 7 9 6 7 7 10 8 9 4 5
  142c151
  < 100 176 983
  ---
  > 100 497 2615
• checking PDF version of manual ... OK
  NOTE: There was 1 note.
  See
  ‘/home/hornik/tmp/R.check/r-devel/Work/PKGS/siatclust.Rcheck/00check.log’
  for details.