ANOVA summary of the impact of the instance size and the distribution of the nodes on the time p=0.050-00 Df Sum Sq Mean Sq F value Pr(>F) size 2 0.40639 0.20319 35.1803 2.004e-14 *** dis 1 0.02042 0.02042 3.5348 0.06108 . size:dis 2 0.00796 0.00398 0.6894 0.50270 Residuals 294 1.69808 0.00578 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 2.6e-07 - 1000 4.1e-11 0.055 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 5.7e-06 - 1000 1.2e-09 0.097 P value adjustment method: holm Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$dis c u 0.09 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$dis c u 0.046 P value adjustment method: holm p=0.050-83 Df Sum Sq Mean Sq F value Pr(>F) size 2 0.3200 0.1600 5.4546 0.00472 ** dis 1 0.0016 0.0016 0.0544 0.81571 size:dis 2 0.1178 0.0589 2.0084 0.13604 Residuals 294 8.6227 0.0293 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 0.22 - 1000 0.22 1.4e-06 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 1 - 1000 3.4e-05 2.9e-09 P value adjustment method: holm Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$dis c u 0.82 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$dis c u 0.5 P value adjustment method: holm p=0.100-00 Df Sum Sq Mean Sq F value Pr(>F) size 2 0.39560 0.19780 32.5386 1.716e-13 *** dis 1 0.00140 0.00140 0.2302 0.63170 size:dis 2 0.03295 0.01648 2.7104 0.06817 . Residuals 294 1.78720 0.00608 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 1.7e-05 - 1000 2.0e-10 0.00035 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 1.8e-05 - 1000 1.9e-10 0.0041 P value adjustment method: holm Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$dis c u 0.66 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$dis c u 0.82 P value adjustment method: holm p=0.100-83 Df Sum Sq Mean Sq F value Pr(>F) size 2 0.26803 0.13402 20.6283 4.136e-09 *** dis 1 9.608e-09 9.608e-09 1.479e-06 0.9990 size:dis 2 0.01735 0.00867 1.3353 0.2647 Residuals 294 1.91003 0.00650 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 0.26 - 1000 6.7e-05 < 2e-16 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 0.87 - 1000 1.6e-08 4.5e-13 P value adjustment method: holm Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$dis c u 1 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$dis c u 0.23 P value adjustment method: holm p=0.150-00 Df Sum Sq Mean Sq F value Pr(>F) size 2 0.07270 0.03635 8.5412 0.0002480 *** dis 1 0.00122 0.00122 0.2858 0.5933132 size:dis 2 0.01542 0.00771 1.8117 0.1651933 Residuals 294 1.25114 0.00426 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 0.07954 - 1000 0.00031 0.01358 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 0.1126 - 1000 0.0015 0.0889 P value adjustment method: holm Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$dis c u 0.6 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$dis c u 0.64 P value adjustment method: holm p=0.150-83 Df Sum Sq Mean Sq F value Pr(>F) size 2 0.24208 0.12104 28.6936 4.135e-12 *** dis 1 0.00138 0.00138 0.3268 0.5680 size:dis 2 0.00708 0.00354 0.8386 0.4333 Residuals 294 1.24019 0.00422 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 0.22 - 1000 4e-06 <2e-16 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 1 - 1000 6.1e-09 2.0e-15 P value adjustment method: holm Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$dis c u 0.6 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$dis c u 0.99 P value adjustment method: holm p=0.200-00 Df Sum Sq Mean Sq F value Pr(>F) size 2 0.00726 0.00363 0.9678 0.3811 dis 1 0.12318 0.12318 32.8304 2.488e-08 *** size:dis 2 0.00446 0.00223 0.5941 0.5527 Residuals 294 1.10310 0.00375 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 0.57 - 1000 0.80 0.48 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 0.694 - 1000 0.694 0.093 P value adjustment method: holm Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$dis c u 2.4e-08 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$dis c u 2.7e-10 P value adjustment method: holm p=0.200-83 Df Sum Sq Mean Sq F value Pr(>F) size 2 0.26101 0.13050 59.8009 <2e-16 *** dis 1 0.00087 0.00087 0.4000 0.5276 size:dis 2 0.00353 0.00177 0.8096 0.4460 Residuals 294 0.64159 0.00218 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 0.73 - 1000 4.5e-15 < 2e-16 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$size 100 300 300 0.41 - 1000 3.7e-11 6.0e-15 P value adjustment method: holm Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$run.time and currentDataAnova$dis c u 0.59 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$run.time and currentDataAnova$dis c u 0.7 P value adjustment method: holm