Warning message: In trellis.par.postscript 2 postscript 2 Analysis of Variance Table Model 1: best ~ (comm.strat + migLoading required package: grid Loading required package: mvtnorm .cpu)^2 Res.Df RSS Df Sum of Sq F Pr(>F) 1 464 5.365 2 467 5.395 -3 -0.030 0.8653 0.459 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -0.293455 -0.066692 -0.009605 0.052521 0.490101 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.172941 0.004906 35.252 < 2e-16 *** comm.strat1 -0.018501 0.006938 -2.667 0.007929 ** comm.strat2 -0.014684 0.004006 -3.666 0.000275 *** comm.strat3 -0.020236 0.002832 -7.144 3.50e-12 *** migr.freq1 -0.011640 0.004906 -2.373 0.018066 * max.cpu1 -0.037616 0.004906 -7.668 1.03e-13 *** comm.strat1:migr.freq1 -0.004874 0.006938 -0.702 0.482748 comm.strat2:migr.freq1 -0.002823 0.004006 -0.705 0.481281 comm.strat3:migr.freq1 0.005142 0.002832 1.815 0.070118 . comm.strat1:max.cpu1 0.014337 0.006938 2.066 0.039338 * comm.strat2:max.cpu1 -0.005568 0.004006 -1.390 0.165212 comm.strat3:max.cpu1 0.006419 0.002832 2.266 0.023887 * migr.freq1:max.cpu1 0.005205 0.004906 1.061 0.289270 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.1075 on 467 degrees of freedom Multiple R-Squared: 0.2465, Adjusted R-squared: 0.2271 F-statistic: 12.73 on 12 and 467 DF, p-value: < 2.2e-16 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 0.8270 0.2757 23.8632 2.197e-14 *** migr.freq 1 0.0650 0.0650 5.6293 0.01807 * max.cpu 1 0.6792 0.6792 58.7925 1.026e-13 *** comm.strat:migr.freq 3 0.0495 0.0165 1.4285 0.23369 comm.strat:max.cpu 3 0.1310 0.0437 3.7795 0.01062 * migr.freq:max.cpu 1 0.0130 0.0130 1.1256 0.28927 Residuals 467 5.3950 0.0116 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 0.1729408 comm.strat comm.strat FC HC R RW 0.2264 0.1894 0.1638 0.1122 migr.freq migr.freq fixed increasing 0.1846 0.1613 max.cpu max.cpu 4 8 0.2106 0.1353 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.2354 0.2173 HC 0.2082 0.1705 R 0.1862 0.1414 RW 0.1084 0.1160 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.2792 0.1736 HC 0.2135 0.1652 R 0.2190 0.1086 RW 0.1306 0.0939 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.2274 0.1418 increasing 0.1937 0.1289 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.01388 0.00981 0.00981 0.01962 0.01962 replic. 120 240 240 60 60 migr.freq:max.cpu 0.01388 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW 0.0534 0.0164 -0.0091 -0.0607 migr.freq migr.freq fixed increasing 0.01164 -0.01164 max.cpu max.cpu 4 8 0.0376 -0.0376 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC -0.00256 0.00256 HC 0.00719 -0.00719 R 0.01079 -0.01079 RW -0.01543 0.01543 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.01519 -0.01519 HC -0.01349 0.01349 R 0.01755 -0.01755 RW -0.01926 0.01926 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.0052 -0.0052 increasing -0.0052 0.0052 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.00981 0.00694 0.00694 0.01388 0.01388 replic. 120 240 240 60 60 migr.freq:max.cpu 0.00981 replic. 120 postscript 2 postscript 2 Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) $comm.strat diff lwr upr p adj HC-FC -0.03700129 -0.07277761 -0.001224969 0.0394932 R-FC -0.06255205 -0.09832837 -0.026775729 0.0000489 RW-FC -0.11412673 -0.14990305 -0.078350413 0.0000000 R-HC -0.02555076 -0.06132708 0.010225558 0.2552884 RW-HC -0.07712544 -0.11290176 -0.041349126 0.0000003 RW-R -0.05157468 -0.08735100 -0.015798365 0.0012899 $migr.freq diff lwr upr p adj increasing-fixed -0.02327958 -0.04256022 -0.003998941 0.0180664 $max.cpu diff lwr upr p adj 8-4 -0.0752328 -0.09451344 -0.05595215 0 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed -0.027254145 -0.087002284 0.032493994 0.8621754 R:fixed-FC:fixed -0.049208873 -0.108957012 0.010539267 0.1946904 RW:fixed-FC:fixed -0.126996745 -0.186744884 -0.067248605 0.0000000 FC:increasing-FC:fixed -0.018169430 -0.077917569 0.041578709 0.9834711 HC:increasing-FC:fixed -0.064917859 -0.124665998 -0.005169720 0.0224237 R:increasing-FC:fixed -0.094064653 -0.153812792 -0.034316513 0.0000600 RW:increasing-FC:fixed -0.119426149 -0.179174288 -0.059678009 0.0000001 R:fixed-HC:fixed -0.021954728 -0.081702867 0.037793412 0.9525757 RW:fixed-HC:fixed -0.099742600 -0.159490739 -0.039994460 0.0000148 FC:increasing-HC:fixed 0.009084715 -0.050663424 0.068832854 0.9997958 HC:increasing-HC:fixed -0.037663714 -0.097411854 0.022084425 0.5382543 R:increasing-HC:fixed -0.066810508 -0.126558647 -0.007062369 0.0163773 RW:increasing-HC:fixed -0.092172004 -0.151920143 -0.032423865 0.0000940 RW:fixed-R:fixed -0.077787872 -0.137536011 -0.018039733 0.0021596 FC:increasing-R:fixed 0.031039443 -0.028708697 0.090787582 0.7611607 HC:increasing-R:fixed -0.015708986 -0.075457126 0.044039153 0.9930521 R:increasing-R:fixed -0.044855780 -0.104603920 0.014892359 0.3036097 RW:increasing-R:fixed -0.070217276 -0.129965415 -0.010469137 0.0090571 FC:increasing-RW:fixed 0.108827315 0.049079175 0.168575454 0.0000014 HC:increasing-RW:fixed 0.062078886 0.002330746 0.121827025 0.0351951 R:increasing-RW:fixed 0.032932092 -0.026816048 0.092680231 0.7014549 RW:increasing-RW:fixed 0.007570596 -0.052177544 0.067318735 0.9999402 HC:increasing-FC:increasing -0.046748429 -0.106496568 0.012999710 0.2524954 R:increasing-FC:increasing -0.075895223 -0.135643362 -0.016147084 0.0031362 RW:increasing-FC:increasing -0.101256719 -0.161004858 -0.041508580 0.0000101 R:increasing-HC:increasing -0.029146794 -0.088894933 0.030601346 0.8151475 RW:increasing-HC:increasing -0.054508290 -0.114256429 0.005239850 0.1031436 RW:increasing-R:increasing -0.025361496 -0.085109635 0.034386643 0.9014965 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 -0.065674919 -0.12542306 -0.0059267792 0.0198008 R:4-FC:4 -0.060186237 -0.11993438 -0.0004380973 0.0468690 RW:4-FC:4 -0.148572943 -0.20832108 -0.0888248033 0.0000000 FC:8-FC:4 -0.105609811 -0.16535795 -0.0458616721 0.0000032 HC:8-FC:4 -0.113937467 -0.17368561 -0.0541893275 0.0000003 R:8-FC:4 -0.170527671 -0.23027581 -0.1107795311 0.0000000 RW:8-FC:4 -0.185290332 -0.24503847 -0.1255421930 0.0000000 R:4-HC:4 0.005488682 -0.05425946 0.0652368214 0.9999934 RW:4-HC:4 -0.082898024 -0.14264616 -0.0231498847 0.0007525 FC:8-HC:4 -0.039934893 -0.09968303 0.0198132465 0.4592891 HC:8-HC:4 -0.048262548 -0.10801069 0.0114855911 0.2157438 R:8-HC:4 -0.104852752 -0.16460089 -0.0451046125 0.0000040 RW:8-HC:4 -0.119615414 -0.17936355 -0.0598672743 0.0000001 RW:4-R:4 -0.088386706 -0.14813485 -0.0286385666 0.0002253 FC:8-R:4 -0.045423575 -0.10517171 0.0143245646 0.2876900 HC:8-R:4 -0.053751230 -0.11349937 0.0059969092 0.1136363 R:8-R:4 -0.110341434 -0.17008957 -0.0505932945 0.0000009 RW:8-R:4 -0.125104096 -0.18485224 -0.0653559563 0.0000000 FC:8-RW:4 0.042963131 -0.01678501 0.1027112706 0.3600444 HC:8-RW:4 0.034635476 -0.02511266 0.0943836152 0.6441578 R:8-RW:4 -0.021954728 -0.08170287 0.0377934116 0.9525757 RW:8-RW:4 -0.036717390 -0.09646553 0.0230307497 0.5715578 HC:8-FC:8 -0.008327655 -0.06807579 0.0514204840 0.9998862 R:8-FC:8 -0.064917859 -0.12466600 -0.0051697196 0.0224237 RW:8-FC:8 -0.079680521 -0.13942866 -0.0199323815 0.0014730 R:8-HC:8 -0.056590204 -0.11633834 0.0031579357 0.0782173 RW:8-HC:8 -0.071352865 -0.13110100 -0.0116047261 0.0073791 RW:8-R:8 -0.014762662 -0.07451080 0.0449854776 0.9952573 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 -0.03368915 -0.06946547 0.002087167 0.0732918 fixed:8-fixed:4 -0.08564237 -0.12141868 -0.049866047 0.0000000 increasing:8-fixed:4 -0.09851238 -0.13428870 -0.062736059 0.0000000 fixed:8-increasing:4 -0.05195321 -0.08772953 -0.016176895 0.0011633 increasing:8-increasing:4 -0.06482323 -0.10059955 -0.029046908 0.0000232 increasing:8-fixed:8 -0.01287001 -0.04864633 0.022906306 0.7901198 postscript 2 Simultaneous Confidence Intervals for General Linear Hypotheses Multiple Comparisons of Means: Mean Contrasts Fit: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Estimated Quantile = 2.2435 Linear Hypotheses: Estimate lwr upr 4 == 0 0.2106 0.1950 0.2261 8 == 0 0.1353 0.1198 0.1509 95% family-wise confidence level Simultaneous Confidence Intervals for General Linear Hypotheses Multiple Comparisons of Means: Mean Contrasts Fit: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Estimated Quantile = 2.2435 Linear Hypotheses: Estimate lwr upr fixed == 0 0.1846 0.1690 0.2001 increasing == 0 0.1613 0.1457 0.1769 95% family-wise confidence level Simultaneous Confidence Intervals for General Linear Hypotheses Multiple Comparisons of Means: Mean Contrasts Fit: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Estimated Quantile = 2.5002 Linear Hypotheses: Estimate lwr upr FC == 0 0.2264 0.2018 0.2509 HC == 0 0.1894 0.1648 0.2139 R == 0 0.1638 0.1393 0.1883 RW == 0 0.1122 0.0877 0.1368 95% family-wise confidence level postscript 2 Test stat Pr(>|t|) comm.strat NA NA migr.freq NA NA max.cpu NA NA Tukey test 2.360194 0.01826539 postscript 2 postscript 2