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 45.388 2 467 45.856 -3 -0.468 1.5945 0.1899 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -0.46961 -0.10827 -0.03050 0.01813 2.44318 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.129707 0.014303 9.069 < 2e-16 *** comm.strat1 -0.062807 0.020227 -3.105 0.002018 ** comm.strat2 -0.017229 0.011678 -1.475 0.140799 comm.strat3 -0.040155 0.008258 -4.863 1.58e-06 *** migr.freq1 -0.065157 0.014303 -4.556 6.68e-06 *** max.cpu1 -0.052411 0.014303 -3.664 0.000276 *** comm.strat1:migr.freq1 0.044600 0.020227 2.205 0.027945 * comm.strat2:migr.freq1 -0.008836 0.011678 -0.757 0.449633 comm.strat3:migr.freq1 0.022737 0.008258 2.753 0.006127 ** comm.strat1:max.cpu1 0.022789 0.020227 1.127 0.260460 comm.strat2:max.cpu1 -0.013418 0.011678 -1.149 0.251158 comm.strat3:max.cpu1 0.015591 0.008258 1.888 0.059638 . migr.freq1:max.cpu1 0.018678 0.014303 1.306 0.192232 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.3134 on 467 degrees of freedom Multiple R-Squared: 0.1624, Adjusted R-squared: 0.1408 F-statistic: 7.543 on 12 and 467 DF, p-value: 8.415e-13 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 3.482 1.161 11.8217 1.781e-07 *** migr.freq 1 2.038 2.038 20.7532 6.677e-06 *** max.cpu 1 1.319 1.319 13.4281 0.0002763 *** comm.strat:migr.freq 3 1.278 0.426 4.3386 0.0049692 ** comm.strat:max.cpu 3 0.604 0.201 2.0514 0.1058878 migr.freq:max.cpu 1 0.167 0.167 1.7054 0.1922316 Residuals 467 45.856 0.098 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 0.1297066 comm.strat comm.strat FC HC R RW 0.2499 0.1243 0.1354 0.0092 migr.freq migr.freq fixed increasing 0.1949 0.0645 max.cpu max.cpu 4 8 0.1821 0.0773 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.374 0.126 HC 0.159 0.090 R 0.241 0.030 RW 0.006 0.012 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.327 0.173 HC 0.156 0.092 R 0.230 0.041 RW 0.015 0.004 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.2660 0.1238 increasing 0.0983 0.0308 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.0405 0.0286 0.0286 0.0572 0.0572 replic. 120 240 240 60 60 migr.freq:max.cpu 0.0405 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW 0.1202 -0.0054 0.0057 -0.1205 migr.freq migr.freq fixed increasing 0.0652 -0.0652 max.cpu max.cpu 4 8 0.0524 -0.0524 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.0585 -0.0585 HC -0.0307 0.0307 R 0.0404 -0.0404 RW -0.0682 0.0682 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.0250 -0.0250 HC -0.0206 0.0206 R 0.0424 -0.0424 RW -0.0468 0.0468 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.01868 -0.01868 increasing -0.01868 0.01868 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.0286 0.0202 0.0202 0.0405 0.0405 replic. 120 240 240 60 60 migr.freq:max.cpu 0.0286 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 -0.12561476 -0.22991760 -0.02131192 0.0108312 R-FC -0.11449425 -0.21879709 -0.01019141 0.0249493 RW-FC -0.24065721 -0.34496005 -0.13635437 0.0000000 R-HC 0.01112051 -0.09318233 0.11542335 0.9927365 RW-HC -0.11504245 -0.21934529 -0.01073961 0.0239878 RW-R -0.12616295 -0.23046579 -0.02186011 0.0103739 $migr.freq diff lwr upr p adj increasing-fixed -0.1303136 -0.1865247 -0.07410248 6.7e-06 $max.cpu diff lwr upr p adj 8-4 -0.1048225 -0.1610336 -0.04861146 0.0002763 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed -0.214813771 -0.38900443 -0.04062311 0.0047924 R:fixed-FC:fixed -0.132584657 -0.30677532 0.04160601 0.2862146 RW:fixed-FC:fixed -0.367368355 -0.54155902 -0.19317769 0.0000000 FC:increasing-FC:fixed -0.247313849 -0.42150451 -0.07312319 0.0004965 HC:increasing-FC:fixed -0.283729599 -0.45792026 -0.10953894 0.0000271 R:increasing-FC:fixed -0.343717696 -0.51790836 -0.16952703 0.0000001 RW:increasing-FC:fixed -0.361259907 -0.53545057 -0.18706924 0.0000000 R:fixed-HC:fixed 0.082229114 -0.09196155 0.25641978 0.8394795 RW:fixed-HC:fixed -0.152554584 -0.32674525 0.02163608 0.1356143 FC:increasing-HC:fixed -0.032500078 -0.20669074 0.14169058 0.9992095 HC:increasing-HC:fixed -0.068915829 -0.24310649 0.10527483 0.9304167 R:increasing-HC:fixed -0.128903925 -0.30309459 0.04528674 0.3221648 RW:increasing-HC:fixed -0.146446136 -0.32063680 0.02774453 0.1735916 RW:fixed-R:fixed -0.234783698 -0.40897436 -0.06059304 0.0012364 FC:increasing-R:fixed -0.114729192 -0.28891985 0.05946147 0.4792952 HC:increasing-R:fixed -0.151144943 -0.32533560 0.02304572 0.1437672 R:increasing-R:fixed -0.211133039 -0.38532370 -0.03694238 0.0060670 RW:increasing-R:fixed -0.228675250 -0.40286591 -0.05448459 0.0018962 FC:increasing-RW:fixed 0.120054506 -0.05413616 0.29424517 0.4173991 HC:increasing-RW:fixed 0.083638756 -0.09055191 0.25782942 0.8272121 R:increasing-RW:fixed 0.023650659 -0.15054000 0.19784132 0.9999046 RW:increasing-RW:fixed 0.006108448 -0.16808221 0.18029911 1.0000000 HC:increasing-FC:increasing -0.036415750 -0.21060641 0.13777491 0.9983483 R:increasing-FC:increasing -0.096403847 -0.27059451 0.07778682 0.6970238 RW:increasing-FC:increasing -0.113946058 -0.28813672 0.06024460 0.4885931 R:increasing-HC:increasing -0.059988096 -0.23417876 0.11420257 0.9665933 RW:increasing-HC:increasing -0.077530307 -0.25172097 0.09666036 0.8768041 RW:increasing-R:increasing -0.017542211 -0.19173287 0.15664845 0.9999875 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 -0.17119318 -0.34538385 0.002997479 0.0580514 R:4-FC:4 -0.09703035 -0.27122102 0.077160308 0.6899202 RW:4-FC:4 -0.31239232 -0.48658298 -0.138201657 0.0000021 FC:8-FC:4 -0.15474736 -0.32893802 0.019443301 0.1236363 HC:8-FC:4 -0.23478370 -0.40897436 -0.060593036 0.0012364 R:8-FC:4 -0.28670551 -0.46089617 -0.112514848 0.0000211 RW:8-FC:4 -0.32366945 -0.49786012 -0.149478792 0.0000007 R:4-HC:4 0.07416283 -0.10002783 0.248353492 0.9000577 RW:4-HC:4 -0.14119914 -0.31538980 0.032991527 0.2118675 FC:8-HC:4 0.01644582 -0.15774484 0.190636485 0.9999920 HC:8-HC:4 -0.06359051 -0.23778118 0.110600148 0.9541941 R:8-HC:4 -0.11551233 -0.28970299 0.058678336 0.4700390 RW:8-HC:4 -0.15247627 -0.32666693 0.021714391 0.1360578 RW:4-R:4 -0.21536196 -0.38955263 -0.041171302 0.0046252 FC:8-R:4 -0.05771701 -0.23190767 0.116473656 0.9730327 HC:8-R:4 -0.13775334 -0.31194401 0.036437318 0.2399057 R:8-R:4 -0.18967516 -0.36386582 -0.015484494 0.0219111 RW:8-R:4 -0.22663910 -0.40082976 -0.052448438 0.0021811 FC:8-RW:4 0.15764496 -0.01654570 0.331835620 0.1090803 HC:8-RW:4 0.07760862 -0.09658204 0.251799283 0.8762282 R:8-RW:4 0.02568681 -0.14850385 0.199877471 0.9998337 RW:8-RW:4 -0.01127714 -0.18546780 0.162913527 0.9999994 HC:8-FC:8 -0.08003634 -0.25422700 0.094154325 0.8575927 R:8-FC:8 -0.13195815 -0.30614881 0.042232513 0.2921645 RW:8-FC:8 -0.16892209 -0.34311276 0.005268569 0.0648540 R:8-HC:8 -0.05192181 -0.22611247 0.122268850 0.9852910 RW:8-HC:8 -0.08888576 -0.26307642 0.085304906 0.7775385 RW:8-R:8 -0.03696394 -0.21115461 0.137226718 0.9981823 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 -0.16766908 -0.27197192 -0.06336624 0.0002358 fixed:8-fixed:4 -0.14217805 -0.24648089 -0.03787521 0.0027142 increasing:8-fixed:4 -0.23513611 -0.33943895 -0.13083327 0.0000001 fixed:8-increasing:4 0.02549103 -0.07881181 0.12979386 0.9223271 increasing:8-increasing:4 -0.06746703 -0.17176987 0.03683581 0.3420048 increasing:8-fixed:8 -0.09295806 -0.19726090 0.01134478 0.0999721 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 0.18212 0.13674 0.22750 8 == 0 0.07730 0.03192 0.12267 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 0.19486 0.14948 0.24024 increasing == 0 0.06455 0.01917 0.10993 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 0.249898 0.178380 0.321417 HC == 0 0.124283 0.052765 0.195802 R == 0 0.135404 0.063886 0.206922 RW == 0 0.009241 -0.062277 0.080759 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 3.86303 0.0001119893 postscript 2 postscript 2