Warning message: In trellis.parpostscript 2 postscript 2 Analysis of Variance Table Model 1: best ~ (comm.strat + migrLoading required package: grid Loading required package: mvtnorm cpu)^2 Res.Df RSS Df Sum of Sq F Pr(>F) 1 464 9.1359 2 467 9.1902 -3 -0.0543 0.9198 0.4311 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -0.380273 -0.083561 -0.005727 0.077754 0.654687 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.301162 0.006403 47.035 < 2e-16 *** comm.strat1 0.000778 0.009055 0.086 0.93157 comm.strat2 -0.017111 0.005228 -3.273 0.00114 ** comm.strat3 -0.025050 0.003697 -6.776 3.73e-11 *** migr.freq1 -0.037614 0.006403 -5.874 8.07e-09 *** max.cpu1 -0.042832 0.006403 -6.689 6.43e-11 *** comm.strat1:migr.freq1 -0.005271 0.009055 -0.582 0.56076 comm.strat2:migr.freq1 -0.004561 0.005228 -0.872 0.38349 comm.strat3:migr.freq1 0.010445 0.003697 2.826 0.00492 ** comm.strat1:max.cpu1 -0.009631 0.009055 -1.064 0.28808 comm.strat2:max.cpu1 -0.006389 0.005228 -1.222 0.22229 comm.strat3:max.cpu1 0.003824 0.003697 1.034 0.30149 migr.freq1:max.cpu1 -0.010211 0.006403 -1.595 0.11146 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.1403 on 467 degrees of freedom Multiple R-Squared: 0.2446, Adjusted R-squared: 0.2252 F-statistic: 12.6 on 12 and 467 DF, p-value: < 2.2e-16 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 1.1146 0.3715 18.8788 1.425e-11 *** migr.freq 1 0.6791 0.6791 34.5086 8.072e-09 *** max.cpu 1 0.8806 0.8806 44.7466 6.429e-11 *** comm.strat:migr.freq 3 0.1788 0.0596 3.0279 0.02921 * comm.strat:max.cpu 3 0.0727 0.0242 1.2315 0.29767 migr.freq:max.cpu 1 0.0500 0.0500 2.5430 0.11146 Residuals 467 9.1902 0.0197 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 0.3011625 comm.strat comm.strat FC HC R RW 0.343 0.344 0.292 0.226 migr.freq migr.freq fixed increasing 0.339 0.264 max.cpu max.cpu 4 8 0.344 0.258 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.381 0.304 HC 0.393 0.295 R 0.349 0.235 RW 0.232 0.220 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.373 0.312 HC 0.394 0.294 R 0.351 0.233 RW 0.257 0.195 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.371 0.306 increasing 0.317 0.211 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.0181 0.0128 0.0128 0.0256 0.0256 replic. 120 240 240 60 60 migr.freq:max.cpu 0.0181 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW 0.0414 0.0429 -0.0092 -0.0752 migr.freq migr.freq fixed increasing 0.0376 -0.0376 max.cpu max.cpu 4 8 0.0428 -0.0428 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.00061 -0.00061 HC 0.01116 -0.01116 R 0.01957 -0.01957 RW -0.03134 0.03134 comm.strat:max.cpu max.cpu comm.strat 4 8 FC -0.01220 0.01220 HC 0.00707 -0.00707 R 0.01660 -0.01660 RW -0.01147 0.01147 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed -0.01021 0.01021 increasing 0.01021 -0.01021 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.01281 0.00906 0.00906 0.01811 0.01811 replic. 120 240 240 60 60 migr.freq:max.cpu 0.01281 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 0.001555928 -0.04513832 0.048250177 0.9997725 R-FC -0.050554232 -0.09724848 -0.003859982 0.0278902 RW-FC -0.116533608 -0.16322786 -0.069839358 0.0000000 R-HC -0.052110160 -0.09880441 -0.005415910 0.0217444 RW-HC -0.118089536 -0.16478379 -0.071395286 0.0000000 RW-R -0.065979376 -0.11267363 -0.019285126 0.0016990 $migr.freq diff lwr upr p adj increasing-fixed -0.07522776 -0.1003923 -0.0500632 0 $max.cpu diff lwr upr p adj 8-4 -0.0856632 -0.1108278 -0.06049865 0 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed 0.012098678 -0.065882922 0.090080278 0.9997664 R:fixed-FC:fixed -0.031601425 -0.109583025 0.046380175 0.9215025 RW:fixed-FC:fixed -0.148483775 -0.226465375 -0.070502176 0.0000003 FC:increasing-FC:fixed -0.076455061 -0.154436660 0.001526539 0.0592402 HC:increasing-FC:fixed -0.085441883 -0.163423483 -0.007460284 0.0205024 R:increasing-FC:fixed -0.145962100 -0.223943700 -0.067980500 0.0000006 RW:increasing-FC:fixed -0.161038501 -0.239020101 -0.083056901 0.0000000 R:fixed-HC:fixed -0.043700103 -0.121681703 0.034281497 0.6832505 RW:fixed-HC:fixed -0.160582453 -0.238564053 -0.082600854 0.0000000 FC:increasing-HC:fixed -0.088553739 -0.166535338 -0.010572139 0.0137226 HC:increasing-HC:fixed -0.097540561 -0.175522161 -0.019558962 0.0039242 R:increasing-HC:fixed -0.158060778 -0.236042378 -0.080079178 0.0000000 RW:increasing-HC:fixed -0.173137179 -0.251118779 -0.095155579 0.0000000 RW:fixed-R:fixed -0.116882350 -0.194863950 -0.038900751 0.0001728 FC:increasing-R:fixed -0.044853636 -0.122835235 0.033127964 0.6533879 HC:increasing-R:fixed -0.053840458 -0.131822058 0.024141141 0.4150040 R:increasing-R:fixed -0.114360675 -0.192342275 -0.036379075 0.0002678 RW:increasing-R:fixed -0.129437076 -0.207418676 -0.051455476 0.0000171 FC:increasing-RW:fixed 0.072028715 -0.005952885 0.150010315 0.0944014 HC:increasing-RW:fixed 0.063041892 -0.014939708 0.141023492 0.2148459 R:increasing-RW:fixed 0.002521676 -0.075459924 0.080503276 1.0000000 RW:increasing-RW:fixed -0.012554726 -0.090536326 0.065426874 0.9997011 HC:increasing-FC:increasing -0.008986823 -0.086968423 0.068994777 0.9999686 R:increasing-FC:increasing -0.069507039 -0.147488639 0.008474561 0.1209536 RW:increasing-FC:increasing -0.084583441 -0.162565040 -0.006601841 0.0228349 R:increasing-HC:increasing -0.060520216 -0.138501816 0.017461384 0.2622761 RW:increasing-HC:increasing -0.075596618 -0.153578218 0.002384982 0.0650388 RW:increasing-R:increasing -0.015076401 -0.093058001 0.062905198 0.9990033 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 0.02081724 -0.05716436 0.0987988374 0.9923787 R:4-FC:4 -0.02175616 -0.09973776 0.0562254405 0.9900575 RW:4-FC:4 -0.11580930 -0.19379090 -0.0378276971 0.0002084 FC:8-FC:4 -0.06127135 -0.13925295 0.0167102461 0.2475115 HC:8-FC:4 -0.07897674 -0.15695834 -0.0009951364 0.0446601 R:8-FC:4 -0.14062366 -0.21860526 -0.0626420589 0.0000018 RW:8-FC:4 -0.17852927 -0.25651087 -0.1005476731 0.0000000 R:4-HC:4 -0.04257340 -0.12055500 0.0354082030 0.7116622 RW:4-HC:4 -0.13662653 -0.21460813 -0.0586449346 0.0000041 FC:8-HC:4 -0.08208859 -0.16007019 -0.0041069915 0.0309975 HC:8-HC:4 -0.09979397 -0.17777557 -0.0218123739 0.0028084 R:8-HC:4 -0.16144090 -0.23942250 -0.0834592964 0.0000000 RW:8-HC:4 -0.19934651 -0.27732811 -0.1213649106 0.0000000 RW:4-R:4 -0.09405314 -0.17203474 -0.0160715378 0.0064810 FC:8-R:4 -0.03951519 -0.11749679 0.0384664054 0.7837096 HC:8-R:4 -0.05722058 -0.13520218 0.0207610230 0.3332367 R:8-R:4 -0.11886750 -0.19684910 -0.0408858995 0.0001216 RW:8-R:4 -0.15677311 -0.23475471 -0.0787915137 0.0000001 FC:8-RW:4 0.05453794 -0.02344366 0.1325195430 0.3974916 HC:8-RW:4 0.03683256 -0.04114904 0.1148141606 0.8390930 R:8-RW:4 -0.02481436 -0.10279596 0.0531672381 0.9785431 RW:8-RW:4 -0.06271998 -0.14070158 0.0152616239 0.2205600 HC:8-FC:8 -0.01770538 -0.09568698 0.0602762174 0.9972061 R:8-FC:8 -0.07935230 -0.15733390 -0.0013707051 0.0427756 RW:8-FC:8 -0.11725792 -0.19523952 -0.0392763193 0.0001617 R:8-HC:8 -0.06164692 -0.13962852 0.0163346773 0.2403304 RW:8-HC:8 -0.09955254 -0.17753414 -0.0215709369 0.0029120 RW:8-R:8 -0.03790561 -0.11588721 0.0400759856 0.8179261 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 -0.05480621 -0.1015005 -0.008111957 0.0138721 fixed:8-fixed:4 -0.06524165 -0.1119359 -0.018547402 0.0019741 increasing:8-fixed:4 -0.16089096 -0.2075852 -0.114196706 0.0000000 fixed:8-increasing:4 -0.01043545 -0.0571297 0.036258805 0.9391758 increasing:8-increasing:4 -0.10608475 -0.1527790 -0.059390500 0.0000001 increasing:8-fixed:8 -0.09564930 -0.1423436 -0.048955055 0.0000012 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 0.3440 0.3237 0.3643 8 == 0 0.2583 0.2380 0.2786 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 0.3388 0.3185 0.3591 increasing == 0 0.2635 0.2432 0.2839 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 0.3425 0.3105 0.3746 HC == 0 0.3441 0.3121 0.3761 R == 0 0.2920 0.2600 0.3240 RW == 0 0.2260 0.1940 0.2580 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 0.6898005 0.4903197 postscript 2 postscript 2