Warning message: In trellis.par.spostscript 2 postscript 2 Analysis of Variance Table Model 1: best ~ (comm.strat + miLoading required package: grid Loading required package: mvtnorm x.cpu)^2 Res.Df RSS Df Sum of Sq F Pr(>F) 1 464 0.48949 2 467 0.49402 -3 -0.00453 1.4321 0.2327 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -0.089795 -0.023688 -0.002104 0.021206 0.104067 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.0592653 0.0014845 39.922 < 2e-16 *** comm.strat1 0.0028617 0.0020995 1.363 0.1735 comm.strat2 -0.0016651 0.0012121 -1.374 0.1702 comm.strat3 -0.0044042 0.0008571 -5.138 4.08e-07 *** migr.freq1 -0.0071507 0.0014845 -4.817 1.98e-06 *** max.cpu1 -0.0090634 0.0014845 -6.105 2.16e-09 *** comm.strat1:migr.freq1 -0.0035680 0.0020995 -1.699 0.0899 . comm.strat2:migr.freq1 -0.0025331 0.0012121 -2.090 0.0372 * comm.strat3:migr.freq1 0.0021580 0.0008571 2.518 0.0121 * comm.strat1:max.cpu1 0.0018612 0.0020995 0.887 0.3758 comm.strat2:max.cpu1 -0.0023026 0.0012121 -1.900 0.0581 . comm.strat3:max.cpu1 0.0018245 0.0008571 2.129 0.0338 * migr.freq1:max.cpu1 -0.0004120 0.0014845 -0.278 0.7815 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.03252 on 467 degrees of freedom Multiple R-Squared: 0.1951, Adjusted R-squared: 0.1745 F-statistic: 9.435 on 12 and 467 DF, p-value: < 2.2e-16 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 0.03189 0.01063 10.0496 1.987e-06 *** migr.freq 1 0.02454 0.02454 23.2010 1.975e-06 *** max.cpu 1 0.03943 0.03943 37.2732 2.162e-09 *** comm.strat:migr.freq 3 0.01438 0.00479 4.5315 0.00382 ** comm.strat:max.cpu 3 0.00944 0.00315 2.9752 0.03134 * migr.freq:max.cpu 1 0.00008 0.00008 0.0770 0.78151 Residuals 467 0.49402 0.00106 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 0.05926528 comm.strat comm.strat FC HC R RW 0.0625 0.0682 0.0603 0.0461 migr.freq migr.freq fixed increasing 0.0664 0.0521 max.cpu max.cpu 4 8 0.0683 0.0502 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.0657 0.0593 HC 0.0785 0.0579 R 0.0747 0.0460 RW 0.0467 0.0454 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.0729 0.0520 HC 0.0749 0.0615 R 0.0758 0.0448 RW 0.0496 0.0425 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.0751 0.0578 increasing 0.0616 0.0426 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.00420 0.00297 0.00297 0.00594 0.00594 replic. 120 240 240 60 60 migr.freq:max.cpu 0.00420 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW 0.00321 0.00893 0.00107 -0.01321 migr.freq migr.freq fixed increasing 0.00715 -0.00715 max.cpu max.cpu 4 8 0.00906 -0.00906 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC -0.00394 0.00394 HC 0.00319 -0.00319 R 0.00722 -0.00722 RW -0.00647 0.00647 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.00138 -0.00138 HC -0.00234 0.00234 R 0.00643 -0.00643 RW -0.00547 0.00547 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed -0.000412 0.000412 increasing 0.000412 -0.000412 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.00297 0.00210 0.00210 0.00420 0.00420 replic. 120 240 240 60 60 migr.freq:max.cpu 0.00297 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 0.005723484 -0.005102629 0.016549597 0.5232316 R-FC -0.002133432 -0.012959545 0.008692681 0.9571488 RW-FC -0.016420071 -0.027246184 -0.005593958 0.0006102 R-HC -0.007856916 -0.018683029 0.002969197 0.2419187 RW-HC -0.022143555 -0.032969668 -0.011317442 0.0000012 RW-R -0.014286639 -0.025112752 -0.003460526 0.0040303 $migr.freq diff lwr upr p adj increasing-fixed -0.01430135 -0.02013578 -0.008466923 2e-06 $max.cpu diff lwr upr p adj 8-4 -0.01812682 -0.02396125 -0.01229239 0 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed 0.012859447 -0.005220673 0.0309395661 0.3747165 R:fixed-FC:fixed 0.009033982 -0.009046138 0.0271141015 0.7957328 RW:fixed-FC:fixed -0.018950763 -0.037030883 -0.0008706438 0.0323331 FC:increasing-FC:fixed -0.006415010 -0.024495130 0.0116651096 0.9606907 HC:increasing-FC:fixed -0.007827489 -0.025907609 0.0102526304 0.8917703 R:increasing-FC:fixed -0.019715856 -0.037795976 -0.0016357367 0.0215756 RW:increasing-FC:fixed -0.020304389 -0.038384509 -0.0022242697 0.0155979 R:fixed-HC:fixed -0.003825465 -0.021905584 0.0142546549 0.9982161 RW:fixed-HC:fixed -0.031810210 -0.049890329 -0.0137300903 0.0000037 FC:increasing-HC:fixed -0.019274456 -0.037354576 -0.0011943369 0.0273127 HC:increasing-HC:fixed -0.020686936 -0.038767055 -0.0026068162 0.0125562 R:increasing-HC:fixed -0.032575303 -0.050655422 -0.0144951832 0.0000019 RW:increasing-HC:fixed -0.033163836 -0.051243955 -0.0150837163 0.0000011 RW:fixed-R:fixed -0.027984745 -0.046064865 -0.0099046257 0.0000874 FC:increasing-R:fixed -0.015448992 -0.033529111 0.0026311277 0.1578725 HC:increasing-R:fixed -0.016861471 -0.034941591 0.0012186485 0.0879525 R:increasing-R:fixed -0.028749838 -0.046829958 -0.0106697186 0.0000478 RW:increasing-R:fixed -0.029338371 -0.047418491 -0.0112582516 0.0000297 FC:increasing-RW:fixed 0.012535753 -0.005544366 0.0306158729 0.4092555 HC:increasing-RW:fixed 0.011123274 -0.006956845 0.0292033937 0.5701174 R:increasing-RW:fixed -0.000765093 -0.018845212 0.0173150266 1.0000000 RW:increasing-RW:fixed -0.001353626 -0.019433746 0.0167264936 0.9999984 HC:increasing-FC:increasing -0.001412479 -0.019492599 0.0166676403 0.9999978 R:increasing-FC:increasing -0.013300846 -0.031380966 0.0047792732 0.3298637 RW:increasing-FC:increasing -0.013889379 -0.031969499 0.0041907402 0.2747338 R:increasing-HC:increasing -0.011888367 -0.029968487 0.0061917525 0.4815734 RW:increasing-HC:increasing -0.012476900 -0.030557020 0.0056032195 0.4156669 RW:increasing-R:increasing -0.000588533 -0.018668653 0.0174915865 1.0000000 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 0.0020010123 -0.016079107 0.020081132 0.9999762 R:4-FC:4 0.0029132385 -0.015166881 0.020993358 0.9996994 RW:4-FC:4 -0.0232764810 -0.041356601 -0.005196361 0.0025655 FC:8-FC:4 -0.0208929223 -0.038973042 -0.002812803 0.0111504 HC:8-FC:4 -0.0114469673 -0.029527087 0.006633152 0.5324796 R:8-FC:4 -0.0280730252 -0.046153145 -0.009992906 0.0000816 RW:8-FC:4 -0.0304565839 -0.048536703 -0.012376464 0.0000118 R:4-HC:4 0.0009122262 -0.017167893 0.018992346 0.9999999 RW:4-HC:4 -0.0252774933 -0.043357613 -0.007197374 0.0006571 FC:8-HC:4 -0.0228939346 -0.040974054 -0.004813815 0.0032854 HC:8-HC:4 -0.0134479796 -0.031528099 0.004632140 0.3155554 R:8-HC:4 -0.0300740375 -0.048154157 -0.011993918 0.0000162 RW:8-HC:4 -0.0324575962 -0.050537716 -0.014377477 0.0000021 RW:4-R:4 -0.0261897195 -0.044269839 -0.008109600 0.0003403 FC:8-R:4 -0.0238061608 -0.041886280 -0.005726041 0.0018088 HC:8-R:4 -0.0143602058 -0.032440325 0.003719914 0.2348729 R:8-R:4 -0.0309862636 -0.049066383 -0.012906144 0.0000075 RW:8-R:4 -0.0333698224 -0.051449942 -0.015289703 0.0000009 FC:8-RW:4 0.0023835587 -0.015696561 0.020463678 0.9999218 HC:8-RW:4 0.0118295138 -0.006250606 0.029909633 0.4883085 R:8-RW:4 -0.0047965441 -0.022876664 0.013283575 0.9926615 RW:8-RW:4 -0.0071801029 -0.025260222 0.010900017 0.9290784 HC:8-FC:8 0.0094459550 -0.008634165 0.027526075 0.7558285 R:8-FC:8 -0.0071801029 -0.025260222 0.010900017 0.9290784 RW:8-FC:8 -0.0095636616 -0.027643781 0.008516458 0.7438707 R:8-HC:8 -0.0166260579 -0.034706177 0.001454062 0.0974746 RW:8-HC:8 -0.0190096166 -0.037089736 -0.000929497 0.0313645 RW:8-R:8 -0.0023835587 -0.020463678 0.015696561 0.9999218 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 -0.013477406 -0.02430352 -0.002651293 0.0077266 fixed:8-fixed:4 -0.017302871 -0.02812898 -0.006476758 0.0002604 increasing:8-fixed:4 -0.032428170 -0.04325428 -0.021602056 0.0000000 fixed:8-increasing:4 -0.003825465 -0.01465158 0.007000648 0.7989670 increasing:8-increasing:4 -0.018950763 -0.02977688 -0.008124650 0.0000478 increasing:8-fixed:8 -0.015125299 -0.02595141 -0.004299186 0.0019760 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 0.06833 0.06362 0.07304 8 == 0 0.05020 0.04549 0.05491 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 0.06642 0.06171 0.07113 increasing == 0 0.05211 0.04740 0.05682 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 0.06247 0.05505 0.06990 HC == 0 0.06820 0.06077 0.07562 R == 0 0.06034 0.05292 0.06776 RW == 0 0.04605 0.03863 0.05348 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 1.806351 0.07086352 postscript 2 postscript 2