Warning message: In trellis.postscript 2 postscript 2 Analysis of Variance Table Model 1: best ~ (comm.strat + migr.frLoading required package: grid Loading required package: mvtnorm )^2 Res.Df RSS Df Sum of Sq F Pr(>F) 1 464 146.757 2 467 147.200 -3 -0.443 0.4666 0.7058 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -1.31223 -0.37095 -0.06559 0.32415 2.30911 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.912849 0.025626 35.623 < 2e-16 *** comm.strat1 -0.031000 0.036240 -0.855 0.39276 comm.strat2 -0.061589 0.020923 -2.944 0.00341 ** comm.strat3 -0.093774 0.014795 -6.338 5.48e-10 *** migr.freq1 -0.133486 0.025626 -5.209 2.85e-07 *** max.cpu1 -0.104287 0.025626 -4.070 5.53e-05 *** comm.strat1:migr.freq1 0.020274 0.036240 0.559 0.57613 comm.strat2:migr.freq1 -0.019527 0.020923 -0.933 0.35116 comm.strat3:migr.freq1 0.041809 0.014795 2.826 0.00492 ** comm.strat1:max.cpu1 -0.046238 0.036240 -1.276 0.20263 comm.strat2:max.cpu1 -0.006834 0.020923 -0.327 0.74411 comm.strat3:max.cpu1 0.011665 0.014795 0.788 0.43085 migr.freq1:max.cpu1 0.014961 0.025626 0.584 0.55962 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.5614 on 467 degrees of freedom Multiple R-Squared: 0.1838, Adjusted R-squared: 0.1628 F-statistic: 8.761 on 12 and 467 DF, p-value: 3.659e-15 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 15.625 5.208 16.5233 3.211e-10 *** migr.freq 1 8.553 8.553 27.1345 2.852e-07 *** max.cpu 1 5.220 5.220 16.5620 5.528e-05 *** comm.strat:migr.freq 3 2.890 0.963 3.0566 0.02811 * comm.strat:max.cpu 3 0.743 0.248 0.7854 0.50249 migr.freq:max.cpu 1 0.107 0.107 0.3409 0.55962 Residuals 467 147.200 0.315 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 0.9128487 comm.strat comm.strat FC HC R RW 1.099 1.037 0.883 0.632 migr.freq migr.freq fixed increasing 1.046 0.779 max.cpu max.cpu 4 8 1.017 0.809 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 1.275 0.923 HC 1.173 0.902 R 1.098 0.669 RW 0.640 0.623 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 1.162 1.036 HC 1.193 0.882 R 1.013 0.754 RW 0.701 0.562 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 1.166 0.927 increasing 0.869 0.690 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.0725 0.0513 0.0513 0.1025 0.1025 replic. 120 240 240 60 60 migr.freq:max.cpu 0.0725 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW 0.1864 0.1244 -0.0294 -0.2813 migr.freq migr.freq fixed increasing 0.1335 -0.1335 max.cpu max.cpu 4 8 0.1043 -0.1043 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.0426 -0.0426 HC 0.0020 -0.0020 R 0.0809 -0.0809 RW -0.1254 0.1254 comm.strat:max.cpu max.cpu comm.strat 4 8 FC -0.0414 0.0414 HC 0.0511 -0.0511 R 0.0253 -0.0253 RW -0.0350 0.0350 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.01496 -0.01496 increasing -0.01496 0.01496 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.0513 0.0362 0.0362 0.0725 0.0725 replic. 120 240 240 60 60 migr.freq:max.cpu 0.0513 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 -0.06200059 -0.2488766 0.12487541 0.8277219 R-FC -0.21576773 -0.4026437 -0.02889173 0.0161394 RW-FC -0.46768592 -0.6545619 -0.28080992 0.0000000 R-HC -0.15376714 -0.3406431 0.03310886 0.1477572 RW-HC -0.40568533 -0.5925613 -0.21880933 0.0000002 RW-R -0.25191819 -0.4387942 -0.06504219 0.0031173 $migr.freq diff lwr upr p adj increasing-fixed -0.2669714 -0.367683 -0.1662599 3e-07 $max.cpu diff lwr upr p adj 8-4 -0.2085745 -0.3092861 -0.1078630 5.53e-05 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed -0.10254926 -0.41464099 0.20954247 0.9742676 R:fixed-FC:fixed -0.17746073 -0.48955246 0.13463100 0.6667264 RW:fixed-FC:fixed -0.63566921 -0.94776094 -0.32357748 0.0000000 FC:increasing-FC:fixed -0.35208390 -0.66417563 -0.03999217 0.0148067 HC:increasing-FC:fixed -0.37353582 -0.68562755 -0.06144409 0.0071691 R:increasing-FC:fixed -0.60615863 -0.91825036 -0.29406690 0.0000002 RW:increasing-FC:fixed -0.65178653 -0.96387826 -0.33969479 0.0000000 R:fixed-HC:fixed -0.07491147 -0.38700320 0.23718026 0.9960386 RW:fixed-HC:fixed -0.53311995 -0.84521168 -0.22102822 0.0000082 FC:increasing-HC:fixed -0.24953464 -0.56162637 0.06255709 0.2272400 HC:increasing-HC:fixed -0.27098656 -0.58307829 0.04110517 0.1431575 R:increasing-HC:fixed -0.50360937 -0.81570110 -0.19151764 0.0000339 RW:increasing-HC:fixed -0.54923727 -0.86132900 -0.23714553 0.0000037 RW:fixed-R:fixed -0.45820848 -0.77030021 -0.14611675 0.0002618 FC:increasing-R:fixed -0.17462317 -0.48671490 0.13746856 0.6849739 HC:increasing-R:fixed -0.19607509 -0.50816682 0.11601664 0.5426956 R:increasing-R:fixed -0.42869790 -0.74078963 -0.11660617 0.0008964 RW:increasing-R:fixed -0.47432580 -0.78641753 -0.16223407 0.0001294 FC:increasing-RW:fixed 0.28358531 -0.02850642 0.59567704 0.1060770 HC:increasing-RW:fixed 0.26213339 -0.04995834 0.57422512 0.1745385 R:increasing-RW:fixed 0.02951058 -0.28258115 0.34160231 0.9999919 RW:increasing-RW:fixed -0.01611732 -0.32820905 0.29597442 0.9999999 HC:increasing-FC:increasing -0.02145192 -0.33354365 0.29063981 0.9999991 R:increasing-FC:increasing -0.25407473 -0.56616646 0.05801700 0.2071441 RW:increasing-FC:increasing -0.29970262 -0.61179436 0.01238911 0.0701898 R:increasing-HC:increasing -0.23262281 -0.54471454 0.07946892 0.3128384 RW:increasing-HC:increasing -0.27825070 -0.59034244 0.03384103 0.1207363 RW:increasing-R:increasing -0.04562789 -0.35771963 0.26646384 0.9998430 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 0.03047535 -0.28161638 0.3425670789 0.9999899 R:4-FC:4 -0.14902842 -0.46112015 0.1630633107 0.8312690 RW:4-FC:4 -0.46127304 -0.77336477 -0.1491813093 0.0002294 FC:8-FC:4 -0.12576046 -0.43785220 0.1863312667 0.9236844 HC:8-FC:4 -0.28023699 -0.59232872 0.0318547390 0.1151044 R:8-FC:4 -0.40826750 -0.72035923 -0.0961757704 0.0020044 RW:8-FC:4 -0.59985926 -0.91195099 -0.2877675256 0.0000003 R:4-HC:4 -0.17950377 -0.49159550 0.1325879633 0.6534263 RW:4-HC:4 -0.49174839 -0.80384012 -0.1796566567 0.0000589 FC:8-HC:4 -0.15623581 -0.46832754 0.1558559194 0.7941427 HC:8-HC:4 -0.31071234 -0.62280407 0.0013793916 0.0519718 R:8-HC:4 -0.43874285 -0.75083458 -0.1266511177 0.0005949 RW:8-HC:4 -0.63033460 -0.94242634 -0.3182428729 0.0000000 RW:4-R:4 -0.31224462 -0.62433635 -0.0001528884 0.0497854 FC:8-R:4 0.02326796 -0.28882378 0.3353596877 0.9999984 HC:8-R:4 -0.13120857 -0.44330030 0.1808831599 0.9059591 R:8-R:4 -0.25923908 -0.57133081 0.0528526505 0.1857997 RW:8-R:4 -0.45083084 -0.76292257 -0.1387391047 0.0003588 FC:8-RW:4 0.33551258 0.02342084 0.6476043077 0.0250611 HC:8-RW:4 0.18103605 -0.13105568 0.4931277799 0.6433736 R:8-RW:4 0.05300554 -0.25908619 0.3650972705 0.9995738 RW:8-RW:4 -0.13858622 -0.45067795 0.1735055153 0.8781209 HC:8-FC:8 -0.15447653 -0.46656826 0.1576152039 0.8035428 R:8-FC:8 -0.28250704 -0.59459877 0.0295846945 0.1089211 RW:8-FC:8 -0.47409879 -0.78619052 -0.1620070607 0.0001307 R:8-HC:8 -0.12803051 -0.44012224 0.1840612222 0.9165890 RW:8-HC:8 -0.31962226 -0.63171400 -0.0075305330 0.0403217 RW:8-R:8 -0.19159176 -0.50368349 0.1204999764 0.5729041 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 -0.2968934 -0.4837694 -0.110017446 0.0002883 fixed:8-fixed:4 -0.2384965 -0.4253725 -0.051620552 0.0059082 increasing:8-fixed:4 -0.4755459 -0.6624219 -0.288669948 0.0000000 fixed:8-increasing:4 0.0583969 -0.1284791 0.245272893 0.8517565 increasing:8-increasing:4 -0.1786525 -0.3655285 0.008223496 0.0668721 increasing:8-fixed:8 -0.2370494 -0.4239254 -0.050173398 0.0063171 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 1.0171 0.9358 1.0984 8 == 0 0.8086 0.7273 0.8899 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 1.0463 0.9650 1.1276 increasing == 0 0.7794 0.6981 0.8607 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 1.0992 0.9711 1.2274 HC == 0 1.0372 0.9091 1.1654 R == 0 0.8834 0.7553 1.0116 RW == 0 0.6315 0.5034 0.7597 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 2.066167 0.03881274 postscript 2 postscript 2