* using log directory 'd:/Rcompile/CRANpkg/local/3.0/weightedKmeans.Rcheck' * using R version 3.0.3 (2014-03-06) * using platform: i386-w64-mingw32 (32-bit) * using session charset: ISO8859-1 * checking for file 'weightedKmeans/DESCRIPTION' ... OK * this is package 'weightedKmeans' version '1.2.0' * 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 hidden files and directories ... OK * checking for portable file names ... OK * checking whether package 'weightedKmeans' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... NOTE File LICENSE is not mentioned in the DESCRIPTION file. * checking for left-over 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 * loading checks for arch 'i386' ** 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 loading without being on the library search path ... OK * loading checks for arch 'x64' ** 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 loading without being on the library search path ... OK * checking dependencies in R code ... NOTE 'library' or 'require' calls to packages already attached by Depends: 'lattice' 'latticeExtra' Please remove these calls from your code. Package in Depends field not imported from: 'latticeExtra' These packages need to be imported from (in the NAMESPACE file) for when this namespace is loaded but not attached. See the information on DESCRIPTION files in the chapter 'Creating R packages' of the 'Writing R Extensions' manual. * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * 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 ... ** running examples for arch 'i386' ... OK ** running examples for arch 'x64' ... OK * checking for unstated dependencies in tests ... OK * checking tests ... ** running tests for arch 'i386' OK Running 'ewkm01.R' Comparing 'ewkm01.Rout' to 'ewkm01.Rout.save' ...12c12 < K-means clustering with 1 clusters of sizes 248 --- > K-means clustering with 5 clusters of sizes 91, 28, 36, 65, 28 16c16,20 < 1 7.145565 20.37218 1.377419 4.544355 8.082661 39.94355 9.818548 --- > 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 18c22,26 < 1 18.05645 71.47177 43.85887 1019.748 1016.979 3.689516 --- > 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 20c28,32 < 1 3.850806 12.26935 19.08105 --- > 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 23,29c35,41 < [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [149] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [186] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [223] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 --- > [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 32,33c44,46 < [1] 249787 0 0 0 0 0 0 0 0 0 < (between_SS / total_SS = 0.0 %) --- > [1] 42491.08 15603.73 23199.40 31792.25 21882.76 0.00 0.00 0.00 > [9] 0.00 0.00 > (between_SS / total_SS = 46.0 %) 41c54 < 100 10 137 --- > 100 10 145 46c59 < K-means clustering with 3 clusters of sizes 38, 55, 155 --- > K-means clustering with 2 clusters of sizes 88, 160 50,52c63,64 < 1 7.342105 15.99211 3.6789474 3.184211 3.547368 38.21053 9.315789 < 2 10.556364 22.28545 2.3018182 5.992727 9.218182 54.25455 17.527273 < 3 5.887097 20.76710 0.4851613 4.363871 8.791613 35.29032 7.206452 --- > 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 54,56c66,67 < 1 16.21053 85.52632 70.18421 1017.511 1015.376 6.421053 < 2 25.70909 64.20000 41.05455 1013.071 1011.078 3.727273 < 3 15.79355 70.60645 38.40000 1022.666 1019.465 3.006452 --- > 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 58,60c69,70 < 1 6.368421 10.51316 14.22632 < 2 3.400000 15.15636 20.78000 < 3 3.393548 11.67548 19.66839 --- > 1 5.261364 11.08182 15.36818 > 2 3.075000 12.92250 21.12313 63,69c73,79 < [1] 3 3 1 3 1 3 3 3 1 1 3 1 3 2 3 3 3 3 3 3 3 3 2 2 1 3 3 3 2 3 3 3 2 2 1 2 3 < [38] 3 3 1 3 3 3 1 3 3 3 3 3 3 3 3 3 2 3 3 1 3 3 3 1 3 1 3 2 3 3 2 3 2 2 1 3 3 < [75] 3 3 3 1 2 3 3 3 3 3 3 3 3 3 3 3 2 1 3 3 2 2 2 3 3 3 3 2 3 3 3 1 3 3 2 3 3 < [112] 3 3 2 2 2 2 3 3 3 1 1 3 3 3 3 3 3 3 1 3 2 3 3 3 2 3 1 3 3 3 2 2 2 2 3 2 3 < [149] 3 2 3 3 3 2 3 1 1 3 3 2 1 3 3 1 2 2 3 3 3 2 3 3 2 3 3 3 3 1 3 3 3 1 2 2 3 < [186] 1 1 2 3 3 3 3 3 2 3 2 2 1 3 2 2 3 3 3 2 2 3 3 3 3 2 1 3 3 3 3 3 3 2 3 3 1 < [223] 1 1 1 1 2 2 3 3 3 3 2 3 3 1 2 3 3 3 2 3 2 1 1 3 3 3 --- > [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 72,74c82,84 < [1] 30247.50 47984.80 93777.73 0.00 0.00 0.00 0.00 0.00 < [9] 0.00 0.00 < (between_SS / total_SS = 31.1 %) --- > [1] 81334.34 117080.82 0.00 0.00 0.00 0.00 0.00 > [8] 0.00 0.00 0.00 > (between_SS / total_SS = 20.6 %) 82c92 < 100 50 397 --- > 100 50 319 87c97 < K-means clustering with 10 clusters of sizes 32, 22, 24, 21, 15, 22, 31, 14, 40, 27 --- > K-means clustering with 10 clusters of sizes 40, 14, 14, 41, 20, 21, 37, 21, 19, 21 91,100c101,110 < 1 4.4375000 20.32500 0.69375000 3.975000 9.834375 32.78125 < 2 10.9000000 28.84545 0.09090909 7.509091 11.550000 50.31818 < 3 7.1708333 16.82500 0.27500000 3.566667 5.170833 37.79167 < 4 13.2238095 29.75238 0.00952381 7.504762 10.680952 39.66667 < 5 11.3200000 18.38000 2.56000000 4.746667 5.093333 49.00000 < 6 13.4181818 28.40000 1.30000000 6.290909 9.822727 39.68182 < 7 0.8612903 16.34516 0.13548387 2.593548 8.287097 31.61290 < 8 9.0000000 16.07143 7.18571429 3.200000 1.628571 32.35714 < 9 7.5225000 18.31500 3.32500000 5.045000 8.962500 54.42500 < 10 0.8111111 13.84815 0.21481481 2.029630 5.800000 29.33333 --- > 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 102,111c112,121 < 1 6.125000 13.09375 69.50000 32.56250 1023.716 1020.322 < 2 12.045455 25.04545 51.13636 21.40909 1016.145 1012.923 < 3 13.041667 19.87500 70.12500 53.91667 1023.462 1021.246 < 4 6.619048 11.28571 65.42857 30.33333 1018.719 1015.229 < 5 16.266667 23.13333 76.66667 66.93333 1011.313 1010.000 < 6 5.772727 17.27273 75.00000 36.36364 1017.064 1013.418 < 7 4.258065 15.32258 77.74194 39.96774 1023.452 1020.032 < 8 8.571429 12.00000 89.71429 78.07143 1017.693 1015.714 < 9 19.275000 25.80000 63.75000 44.72500 1015.670 1013.990 < 10 4.740741 14.51852 85.29630 55.85185 1025.211 1022.244 --- > 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 1020.143 113,122c123,132 < 1 2.281250 2.468750 10.546875 19.27188 < 2 1.090909 1.500000 18.922727 27.81364 < 3 5.250000 5.250000 12.054167 15.58750 < 4 1.761905 3.380952 18.519048 28.27619 < 5 6.466667 5.533333 14.273333 16.01333 < 6 4.090909 3.954545 17.604545 27.12273 < 7 2.935484 3.129032 6.896774 15.39677 < 8 7.357143 7.428571 11.600000 14.44286 < 9 3.875000 3.575000 12.140000 16.87250 < 10 4.407407 4.888889 5.466667 12.75185 --- > 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 125,134c135,144 < [1] 9 1 8 7 8 3 10 3 10 8 1 10 9 4 1 1 6 9 1 7 7 9 9 2 5 < [26] 10 6 3 9 3 4 10 6 9 9 6 1 7 1 10 4 1 6 5 3 10 3 7 1 1 < [51] 4 10 2 2 10 9 5 1 7 1 8 3 10 6 5 2 9 2 7 9 6 8 1 9 1 < [76] 1 1 8 4 3 7 3 6 6 3 4 7 9 7 10 9 5 4 6 9 9 3 7 7 6 < [101] 10 2 10 7 10 5 1 7 2 2 2 2 2 2 9 6 9 7 1 7 8 10 7 4 7 < [126] 10 1 7 2 8 6 9 3 7 7 9 2 5 3 9 7 6 9 9 5 2 6 2 7 9 < [151] 1 4 9 9 10 10 5 1 1 9 5 6 1 10 9 9 1 3 1 2 1 6 9 3 3 < [176] 4 1 5 7 10 3 10 6 5 4 8 8 9 1 7 3 4 7 9 4 9 4 10 9 9 < [201] 9 10 3 7 9 9 7 1 4 4 2 8 2 7 6 3 3 4 2 3 1 10 5 10 8 < [226] 10 9 5 1 4 3 4 6 3 1 5 4 7 4 2 9 6 6 8 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 5 137,139c147,149 < [1] 9514.467 12331.893 8284.864 5400.372 8405.415 6185.185 9284.682 < [8] 6948.186 28357.079 9119.593 < (between_SS / total_SS = 58.4 %) --- > [1] 12714.696 4721.928 10806.090 16006.838 8016.697 12139.569 10005.607 > [8] 11878.113 10925.609 10928.650 > (between_SS / total_SS = 56.7 %) 147c157 < 100 900 4657 --- > 100 497 2615 156c166 < 1 7.145565 20.37218 1.377419 4.544355 8.082661 39.94355 9.818548 --- > 1 1772.1 5052.3 341.6 1127 2004.5 9906 2435 158c168 < 1 18.05645 71.47177 43.85887 1019.748 1016.979 3.689516 --- > 1 4478 17725 10877 252897.6 252210.7 915 160c170 < 1 3.850806 12.26935 19.08105 --- > 1 955 3042.8 4732.1 163,169c173,182 < [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [149] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [186] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [223] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 --- > [1] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [26] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [51] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [76] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [101] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [126] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [151] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [176] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [201] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [226] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 172,173c185,187 < [1] 249787 0 0 0 0 0 0 0 0 0 < (between_SS / total_SS = 0.0 %) --- > [1] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > [6] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 3.153563e+13 > (between_SS / total_SS = -12625006483.2 %) ** running tests for arch 'x64' OK Running 'ewkm01.R' Comparing 'ewkm01.Rout' to 'ewkm01.Rout.save' ...12c12 < K-means clustering with 1 clusters of sizes 248 --- > K-means clustering with 5 clusters of sizes 91, 28, 36, 65, 28 16c16,20 < 1 7.145565 20.37218 1.377419 4.544355 8.082661 39.94355 9.818548 --- > 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 18c22,26 < 1 18.05645 71.47177 43.85887 1019.748 1016.979 3.689516 --- > 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 20c28,32 < 1 3.850806 12.26935 19.08105 --- > 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 23,29c35,41 < [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [149] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [186] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [223] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 --- > [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 32,33c44,46 < [1] 249787 0 0 0 0 0 0 0 0 0 < (between_SS / total_SS = 0.0 %) --- > [1] 42491.08 15603.73 23199.40 31792.25 21882.76 0.00 0.00 0.00 > [9] 0.00 0.00 > (between_SS / total_SS = 46.0 %) 41c54 < 100 10 137 --- > 100 10 145 46c59 < K-means clustering with 3 clusters of sizes 38, 55, 155 --- > K-means clustering with 2 clusters of sizes 88, 160 50,52c63,64 < 1 7.342105 15.99211 3.6789474 3.184211 3.547368 38.21053 9.315789 < 2 10.556364 22.28545 2.3018182 5.992727 9.218182 54.25455 17.527273 < 3 5.887097 20.76710 0.4851613 4.363871 8.791613 35.29032 7.206452 --- > 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 54,56c66,67 < 1 16.21053 85.52632 70.18421 1017.511 1015.376 6.421053 < 2 25.70909 64.20000 41.05455 1013.071 1011.078 3.727273 < 3 15.79355 70.60645 38.40000 1022.666 1019.465 3.006452 --- > 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 58,60c69,70 < 1 6.368421 10.51316 14.22632 < 2 3.400000 15.15636 20.78000 < 3 3.393548 11.67548 19.66839 --- > 1 5.261364 11.08182 15.36818 > 2 3.075000 12.92250 21.12313 63,69c73,79 < [1] 3 3 1 3 1 3 3 3 1 1 3 1 3 2 3 3 3 3 3 3 3 3 2 2 1 3 3 3 2 3 3 3 2 2 1 2 3 < [38] 3 3 1 3 3 3 1 3 3 3 3 3 3 3 3 3 2 3 3 1 3 3 3 1 3 1 3 2 3 3 2 3 2 2 1 3 3 < [75] 3 3 3 1 2 3 3 3 3 3 3 3 3 3 3 3 2 1 3 3 2 2 2 3 3 3 3 2 3 3 3 1 3 3 2 3 3 < [112] 3 3 2 2 2 2 3 3 3 1 1 3 3 3 3 3 3 3 1 3 2 3 3 3 2 3 1 3 3 3 2 2 2 2 3 2 3 < [149] 3 2 3 3 3 2 3 1 1 3 3 2 1 3 3 1 2 2 3 3 3 2 3 3 2 3 3 3 3 1 3 3 3 1 2 2 3 < [186] 1 1 2 3 3 3 3 3 2 3 2 2 1 3 2 2 3 3 3 2 2 3 3 3 3 2 1 3 3 3 3 3 3 2 3 3 1 < [223] 1 1 1 1 2 2 3 3 3 3 2 3 3 1 2 3 3 3 2 3 2 1 1 3 3 3 --- > [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 72,74c82,84 < [1] 30247.50 47984.80 93777.73 0.00 0.00 0.00 0.00 0.00 < [9] 0.00 0.00 < (between_SS / total_SS = 31.1 %) --- > [1] 81334.34 117080.82 0.00 0.00 0.00 0.00 0.00 > [8] 0.00 0.00 0.00 > (between_SS / total_SS = 20.6 %) 82c92 < 100 50 397 --- > 100 50 319 87c97 < K-means clustering with 10 clusters of sizes 48, 7, 43, 24, 11, 12, 22, 21, 24, 36 --- > K-means clustering with 10 clusters of sizes 40, 14, 14, 41, 20, 21, 37, 21, 19, 21 91,100c101,110 < 1 4.1541667 19.70833 0.62500000 3.683333 9.485417 35.35417 < 2 13.5428571 26.72857 1.51428571 5.628571 9.657143 46.42857 < 3 1.4348837 15.67907 0.30232558 2.260465 6.765116 26.25581 < 4 4.7250000 13.49167 0.95000000 3.116667 5.791667 49.91667 < 5 0.4636364 12.23636 1.56363636 1.490909 6.109091 37.63636 < 6 12.1333333 20.75000 0.28333333 5.583333 4.516667 32.50000 < 7 12.3090909 28.70909 0.66363636 7.163636 10.795455 35.54545 < 8 14.1809524 21.37143 6.92380952 4.809524 3.495238 43.61905 < 9 12.2666667 30.90000 0.09166667 7.750000 11.233333 50.00000 < 10 8.0305556 19.87778 2.28888889 5.855556 9.716667 51.52778 --- > 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 102,111c112,121 < 1 5.937500 16.02083 72.39583 34.64583 1022.715 1019.335 < 2 9.000000 17.14286 76.57143 39.85714 1014.000 1011.057 < 3 5.302326 11.25581 81.58140 48.67442 1026.035 1022.814 < 4 17.375000 26.83333 69.91667 61.91667 1017.296 1015.821 < 5 4.818182 19.90909 88.00000 57.63636 1022.918 1019.845 < 6 12.000000 14.91667 68.16667 53.50000 1020.042 1018.267 < 7 6.409091 11.36364 65.04545 31.50000 1018.905 1015.373 < 8 12.142857 16.42857 84.14286 69.95238 1011.757 1010.033 < 9 7.416667 21.29167 60.37500 21.16667 1017.283 1013.771 < 10 18.638889 26.58333 58.19444 39.16667 1016.792 1014.656 --- > 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 1020.143 113,122c123,132 < 1 2.541667 2.770833 10.058333 18.58958 < 2 6.714286 3.142857 16.442857 25.08571 < 3 4.000000 4.093023 6.902326 14.73256 < 4 4.500000 4.750000 9.504167 11.82500 < 5 4.636364 4.090909 4.209091 11.21818 < 6 6.166667 6.500000 15.800000 19.47500 < 7 1.954545 3.363636 17.836364 27.41364 < 8 7.142857 6.761905 16.652381 19.20952 < 9 1.875000 2.333333 19.354167 29.71667 < 10 2.861111 3.194444 13.263889 18.61389 --- > 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 125,134c135,144 < [1] 10 1 8 1 8 4 3 6 3 5 1 5 10 9 7 1 10 10 1 3 3 10 10 9 8 < [26] 3 9 3 10 4 7 3 1 4 8 2 1 1 1 6 7 1 6 8 4 3 4 3 1 1 < [51] 7 5 10 9 3 10 8 1 3 1 3 4 5 7 8 9 10 9 1 4 2 3 1 10 1 < [76] 1 1 8 10 4 3 6 7 10 6 7 1 10 1 3 10 4 9 9 4 10 4 1 1 1 < [101] 3 9 3 3 5 4 3 3 10 9 7 9 9 10 10 9 6 3 1 3 8 3 3 7 3 < [126] 3 1 1 9 8 9 10 6 3 3 2 9 8 3 1 3 2 10 10 8 9 2 9 1 4 < [151] 1 7 10 10 3 5 8 1 1 10 8 1 1 5 10 10 1 6 1 10 1 7 2 6 1 < [176] 7 1 4 3 3 5 3 8 4 7 8 3 10 1 3 5 7 3 8 7 4 9 4 10 10 < [201] 10 3 6 3 4 8 3 1 9 7 10 8 9 3 1 6 4 7 10 6 1 3 4 4 8 < [226] 3 10 4 1 7 1 7 2 4 1 4 7 1 7 9 10 7 9 5 8 9 1 5 --- > [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 5 137,139c147,149 < [1] 17574.268 1785.963 16485.609 12762.457 3007.675 2789.355 5010.001 < [8] 15554.101 14254.909 19783.447 < (between_SS / total_SS = 56.4 %) --- > [1] 12714.696 4721.928 10806.090 16006.838 8016.697 12139.569 10005.607 > [8] 11878.113 10925.609 10928.650 > (between_SS / total_SS = 56.7 %) 147c157 < 100 276 1542 --- > 100 497 2615 156c166 < 1 7.145565 20.37218 1.377419 4.544355 8.082661 39.94355 9.818548 --- > 1 1772.1 5052.3 341.6 1127 2004.5 9906 2435 158c168 < 1 18.05645 71.47177 43.85887 1019.748 1016.979 3.689516 --- > 1 4478 17725 10877 252897.6 252210.7 915 160c170 < 1 3.850806 12.26935 19.08105 --- > 1 955 3042.8 4732.1 163,169c173,182 < [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [149] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [186] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 < [223] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 --- > [1] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [26] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [51] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [76] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [101] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [126] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [151] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [176] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [201] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 > [226] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 172,173c185,187 < [1] 249787 0 0 0 0 0 0 0 0 0 < (between_SS / total_SS = 0.0 %) --- > [1] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > [6] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 3.153563e+13 > (between_SS / total_SS = -12625006483.2 %) * checking PDF version of manual ... 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