ANOVA summary of the impact of the importance sampling variants on the cost p=0.050-16 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 79.12 19.78 1.595 0.1762 Residuals 245 3038.39 12.40 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.000 - - - sb 0.271 0.886 - - wb 0.204 0.848 1.000 - pb 0.053 0.602 0.760 1.000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.00524 - - - sb 0.00524 1.00000 - - wb 0.00096 1.00000 1.00000 - pb 0.00150 0.80752 1.00000 1.00000 P value adjustment method: holm p=0.050-50 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 25.57 6.39 0.6348 0.6381 Residuals 245 2467.10 10.07 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.71 - - - sb 0.17 1.00 - - wb 1.00 1.00 1.00 - pb 1.00 1.00 1.00 1.00 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.2965 - - - sb 0.0019 0.7784 - - wb 0.2890 1.0000 0.7784 - pb 0.7784 1.0000 0.7784 1.0000 P value adjustment method: holm p=0.050-83 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 49.5 12.4 0.7096 0.5861 Residuals 245 4273.2 17.4 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.00 - - - sb 0.33 0.42 - - wb 1.00 1.00 1.00 - pb 1.00 1.00 1.00 1.00 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.000 - - - sb 0.007 0.060 - - wb 1.000 1.000 1.000 - pb 0.147 0.060 1.000 1.000 P value adjustment method: holm p=0.075-16 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 56.39 14.10 2.5354 0.04081 * Residuals 245 1362.29 5.56 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.426 - - - sb 0.063 1.000 - - wb 0.025 0.359 1.000 - pb 0.015 0.984 1.000 1.000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.0823 - - - sb 6.5e-05 0.1363 - - wb 0.0013 0.2233 1.0000 - pb 0.0008 0.2665 1.0000 1.0000 P value adjustment method: holm p=0.075-50 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 20.64 5.16 0.5366 0.709 Residuals 245 2355.42 9.61 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.00 - - - sb 1.00 1.00 - - wb 1.00 1.00 1.00 - pb 1.00 1.00 0.76 0.39 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.00 - - - sb 0.11 1.00 - - wb 0.72 1.00 1.00 - pb 1.00 1.00 0.56 0.23 P value adjustment method: holm p=0.075-83 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 40.5 10.1 0.5511 0.6984 Residuals 245 4499.5 18.4 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.00 - - - sb 1.00 1.00 - - wb 0.48 1.00 1.00 - pb 1.00 1.00 1.00 1.00 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.15 - - - sb 0.94 1.00 - - wb 0.12 1.00 0.59 - pb 1.00 1.00 1.00 1.00 P value adjustment method: holm p=0.100-16 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 44.12 11.03 1.2465 0.2918 Residuals 245 2168.12 8.85 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.20942 - - - sb 0.05609 1.00000 - - wb 0.00053 1.00000 1.00000 - pb 0.09315 1.00000 1.00000 1.00000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.06053 - - - sb 0.00770 1.00000 - - wb 0.00067 1.00000 0.79254 - pb 0.00549 1.00000 1.00000 1.00000 P value adjustment method: holm p=0.100-50 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 23.42 5.86 0.9124 0.4573 Residuals 245 1572.38 6.42 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.17 - - - sb 1.00 1.00 - - wb 1.00 1.00 1.00 - pb 0.56 1.00 1.00 1.00 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.033 - - - sb 0.715 1.000 - - wb 0.734 0.935 1.000 - pb 0.504 1.000 1.000 1.000 P value adjustment method: holm p=0.100-83 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 19.84 4.96 0.6427 0.6325 Residuals 245 1890.74 7.72 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.37 - - - sb 1.00 0.37 - - wb 1.00 0.25 1.00 - pb 1.00 0.25 1.00 1.00 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.077 - - - sb 1.000 0.651 - - wb 1.000 0.233 1.000 - pb 1.000 0.171 1.000 1.000 P value adjustment method: holm p=0.125-16 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 95.89 23.97 3.1312 0.01549 * Residuals 245 1875.82 7.66 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.00022 - - - sb 0.00757 1.00000 - - wb 1.9e-05 1.00000 1.00000 - pb 0.00056 1.00000 1.00000 1.00000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.00011 - - - sb 0.00214 1.00000 - - wb 2.5e-05 0.90203 1.00000 - pb 0.00010 1.00000 1.00000 1.00000 P value adjustment method: holm p=0.125-50 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 37.60 9.40 1.1212 0.3470 Residuals 245 2053.86 8.38 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.509 - - - sb 0.558 1.000 - - wb 0.039 1.000 0.895 - pb 0.509 1.000 1.000 0.895 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.5036 - - - sb 0.5036 1.0000 - - wb 0.0075 0.8522 1.0000 - pb 0.6916 1.0000 1.0000 0.6916 P value adjustment method: holm p=0.125-83 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 51.86 12.96 1.3107 0.2666 Residuals 245 2423.35 9.89 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.346 - - - sb 1.000 1.000 - - wb 1.000 0.023 0.479 - pb 1.000 0.044 1.000 1.000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.164 - - - sb 0.328 0.494 - - wb 1.000 0.025 0.278 - pb 1.000 0.026 0.494 1.000 P value adjustment method: holm p=0.150-16 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 23.45 5.86 0.5945 0.6669 Residuals 245 2415.99 9.86 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.00 - - - sb 0.15 0.21 - - wb 0.35 0.50 1.00 - pb 1.00 1.00 0.82 1.00 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.00000 - - - sb 0.00076 0.17273 - - wb 0.14227 0.62526 1.00000 - pb 0.62526 0.62526 0.91025 1.00000 P value adjustment method: holm p=0.150-50 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 29.85 7.46 0.7961 0.5287 Residuals 245 2296.65 9.37 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.000 - - - sb 0.047 0.626 - - wb 0.490 1.000 1.000 - pb 1.000 1.000 1.000 1.000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.000 - - - sb 0.021 1.000 - - wb 0.106 1.000 1.000 - pb 0.715 1.000 1.000 1.000 P value adjustment method: holm p=0.150-83 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 49.70 12.42 1.1258 0.3449 Residuals 245 2703.86 11.04 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.10 - - - sb 0.89 0.63 - - wb 0.19 1.00 0.89 - pb 0.89 0.81 1.00 0.89 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.05 - - - sb 1.00 0.98 - - wb 0.32 1.00 1.00 - pb 1.00 0.96 1.00 1.00 P value adjustment method: holm p=0.175-16 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 96.92 24.23 5.2656 0.0004382 *** Residuals 245 1127.35 4.60 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.00268 - - - sb 0.00067 1.00000 - - wb 1.3e-07 0.40691 1.00000 - pb 0.00020 1.00000 1.00000 1.00000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.00398 - - - sb 0.00044 1.00000 - - wb 2.3e-06 0.08994 1.00000 - pb 0.00026 1.00000 1.00000 1.00000 P value adjustment method: holm p=0.175-50 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 17.05 4.26 0.5579 0.6934 Residuals 245 1871.58 7.64 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.00 - - - sb 1.00 1.00 - - wb 1.00 1.00 1.00 - pb 1.00 1.00 1.00 0.94 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.00 - - - sb 1.00 1.00 - - wb 1.00 1.00 1.00 - pb 0.56 1.00 1.00 1.00 P value adjustment method: holm p=0.175-83 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 25.05 6.26 0.7211 0.5782 Residuals 245 2127.36 8.68 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.973 - - - sb 0.087 0.897 - - wb 1.000 1.000 0.529 - pb 0.973 1.000 0.717 1.000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.86 - - - sb 0.12 1.00 - - wb 1.00 1.00 0.46 - pb 0.73 1.00 0.99 1.00 P value adjustment method: holm p=0.200-16 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 41.49 10.37 1.8305 0.1235 Residuals 245 1388.27 5.67 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.626 - - - sb 0.073 0.540 - - wb 0.340 1.000 1.000 - pb 0.147 1.000 1.000 1.000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.1817 - - - sb 0.0041 0.7348 - - wb 0.1817 1.0000 0.8225 - pb 0.0847 0.8225 1.0000 1.0000 P value adjustment method: holm p=0.200-50 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 30.30 7.57 1.0598 0.3770 Residuals 245 1750.92 7.15 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.8228 - - - sb 1.0000 1.0000 - - wb 0.0043 0.7751 0.5617 - pb 0.3296 1.0000 1.0000 1.0000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.9020 - - - sb 0.9141 1.0000 - - wb 0.0046 0.5760 0.5446 - pb 0.2318 1.0000 1.0000 0.9868 P value adjustment method: holm p=0.200-83 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 33.47 8.37 0.7065 0.5882 Residuals 245 2902.17 11.85 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.99 - - - sb 0.51 1.00 - - wb 1.00 1.00 1.00 - pb 1.00 0.97 0.49 1.00 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.31 - - - sb 0.70 1.00 - - wb 1.00 1.00 1.00 - pb 1.00 0.30 0.87 1.00 P value adjustment method: holm p=0.300-16 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 38.33 9.58 2.1549 0.07471 . Residuals 245 1089.46 4.45 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.1688 - - - sb 0.0093 1.0000 - - wb 0.0508 1.0000 1.0000 - pb 0.0313 1.0000 1.0000 1.0000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 0.4094 - - - sb 0.0084 1.0000 - - wb 0.0890 1.0000 1.0000 - pb 0.0550 1.0000 1.0000 1.0000 P value adjustment method: holm p=0.300-50 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 34.53 8.63 1.0208 0.3971 Residuals 245 2071.93 8.46 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.000 - - - sb 0.404 0.852 - - wb 0.037 0.360 1.000 - pb 1.000 1.000 1.000 0.404 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.0000 - - - sb 0.1754 1.0000 - - wb 0.0053 1.0000 1.0000 - pb 0.5217 1.0000 1.0000 0.5642 P value adjustment method: holm p=0.300-83 Df Sum Sq Mean Sq F value Pr(>F) is.type 4 83.40 20.85 3.1611 0.01475 * Residuals 245 1616.08 6.60 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.2e-05 - - - sb 0.118 0.063 - - wb 0.275 0.017 1.000 - pb 0.093 0.108 1.000 1.000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$is.type ub gb sb wb gb 1.8e-05 - - - sb 0.062 0.090 - - wb 0.142 0.011 1.000 - pb 0.045 0.142 1.000 1.000 P value adjustment method: holm