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 7.9181 2 467 7.9685 -3 -0.0504 0.984 0.4001 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -0.400961 -0.078877 -0.003884 0.083302 0.561026 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.4479928 0.0059622 75.138 < 2e-16 *** comm.strat1 0.0060511 0.0084319 0.718 0.4733 comm.strat2 -0.0055323 0.0048681 -1.136 0.2564 comm.strat3 -0.0088497 0.0034423 -2.571 0.0105 * migr.freq1 -0.0329376 0.0059622 -5.524 5.50e-08 *** max.cpu1 -0.0315080 0.0059622 -5.285 1.94e-07 *** comm.strat1:migr.freq1 -0.0042633 0.0084319 -0.506 0.6134 comm.strat2:migr.freq1 -0.0004497 0.0048681 -0.092 0.9264 comm.strat3:migr.freq1 0.0090033 0.0034423 2.615 0.0092 ** comm.strat1:max.cpu1 -0.0168174 0.0084319 -1.994 0.0467 * comm.strat2:max.cpu1 -0.0063215 0.0048681 -1.299 0.1947 comm.strat3:max.cpu1 0.0007526 0.0034423 0.219 0.8270 migr.freq1:max.cpu1 0.0086969 0.0059622 1.459 0.1453 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.1306 on 467 degrees of freedom Multiple R-Squared: 0.1491, Adjusted R-squared: 0.1272 F-statistic: 6.817 on 12 and 467 DF, p-value: 2.201e-11 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 0.1436 0.0479 2.8053 0.03931 * migr.freq 1 0.5207 0.5207 30.5186 5.502e-08 *** max.cpu 1 0.4765 0.4765 27.9270 1.937e-07 *** comm.strat:migr.freq 3 0.1212 0.0404 2.3683 0.07004 . comm.strat:max.cpu 3 0.0975 0.0325 1.9040 0.12807 migr.freq:max.cpu 1 0.0363 0.0363 2.1277 0.14533 Residuals 467 7.9685 0.0171 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 0.4479928 comm.strat comm.strat FC HC R RW 0.456 0.468 0.446 0.421 migr.freq migr.freq fixed increasing 0.481 0.415 max.cpu max.cpu 4 8 0.480 0.416 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.494 0.419 HC 0.514 0.423 R 0.489 0.403 RW 0.427 0.416 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.465 0.447 HC 0.511 0.426 R 0.491 0.401 RW 0.451 0.392 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.521 0.441 increasing 0.438 0.392 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.0169 0.0119 0.0119 0.0238 0.0238 replic. 120 240 240 60 60 migr.freq:max.cpu 0.0169 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW 0.00833 0.02043 -0.00221 -0.02655 migr.freq migr.freq fixed increasing 0.0329 -0.0329 max.cpu max.cpu 4 8 0.03151 -0.03151 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.00429 -0.00429 HC 0.01282 -0.01282 R 0.00990 -0.00990 RW -0.02701 0.02701 comm.strat:max.cpu max.cpu comm.strat 4 8 FC -0.02239 0.02239 HC 0.01125 -0.01125 R 0.01340 -0.01340 RW -0.00226 0.00226 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.0087 -0.0087 increasing -0.0087 0.0087 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.01192 0.00843 0.00843 0.01686 0.01686 replic. 120 240 240 60 60 migr.freq:max.cpu 0.01192 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 0.01210215 -0.03137776 0.055582061 0.8900704 R-FC -0.01054584 -0.05402576 0.032934067 0.9239108 RW-FC -0.03488020 -0.07836012 0.008599707 0.1650661 R-HC -0.02264799 -0.06612791 0.020831917 0.5359735 RW-HC -0.04698235 -0.09046227 -0.003502443 0.0283263 RW-R -0.02433436 -0.06781427 0.019145552 0.4731507 $migr.freq diff lwr upr p adj increasing-fixed -0.06587516 -0.08930743 -0.04244288 1e-07 $max.cpu diff lwr upr p adj 8-4 -0.06301605 -0.08644833 -0.03958377 2e-07 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed 0.020628765 -0.05198474 0.0932422678 0.9889227 R:fixed-FC:fixed -0.004933445 -0.07754695 0.0676800579 0.9999992 RW:fixed-FC:fixed -0.066180464 -0.13879397 0.0064330382 0.1038578 FC:increasing-FC:fixed -0.074455778 -0.14706928 -0.0018422753 0.0398706 HC:increasing-FC:fixed -0.070880243 -0.14349375 0.0017332597 0.0614484 R:increasing-FC:fixed -0.090614022 -0.16322752 -0.0180005194 0.0040574 RW:increasing-FC:fixed -0.078035722 -0.15064922 -0.0054222192 0.0251510 R:fixed-HC:fixed -0.025562210 -0.09817571 0.0470512928 0.9623317 RW:fixed-HC:fixed -0.086809230 -0.15942273 -0.0141957269 0.0072778 FC:increasing-HC:fixed -0.095084543 -0.16769805 -0.0224710404 0.0019735 HC:increasing-HC:fixed -0.091509008 -0.16412251 -0.0188955054 0.0035225 R:increasing-HC:fixed -0.111242787 -0.18385629 -0.0386292845 0.0001092 RW:increasing-HC:fixed -0.098664487 -0.17127799 -0.0260509843 0.0010799 RW:fixed-R:fixed -0.061247020 -0.13386052 0.0113664830 0.1703694 FC:increasing-R:fixed -0.069522333 -0.14213584 0.0030911695 0.0718821 HC:increasing-R:fixed -0.065946798 -0.13856030 0.0066667045 0.1064612 R:increasing-R:fixed -0.085680577 -0.15829408 -0.0130670746 0.0086096 RW:increasing-R:fixed -0.073102277 -0.14571578 -0.0004887744 0.0471193 FC:increasing-RW:fixed -0.008275314 -0.08088882 0.0643381891 0.9999709 HC:increasing-RW:fixed -0.004699779 -0.07731328 0.0679137242 0.9999994 R:increasing-RW:fixed -0.024433558 -0.09704706 0.0481799450 0.9706123 RW:increasing-RW:fixed -0.011855257 -0.08446876 0.0607582453 0.9996719 HC:increasing-FC:increasing 0.003575535 -0.06903797 0.0761890377 0.9999999 R:increasing-FC:increasing -0.016158244 -0.08877175 0.0564552586 0.9975401 RW:increasing-FC:increasing -0.003579944 -0.07619345 0.0690335588 0.9999999 R:increasing-HC:increasing -0.019733779 -0.09234728 0.0528797235 0.9915083 RW:increasing-HC:increasing -0.007155479 -0.07976898 0.0654580238 0.9999893 RW:increasing-R:increasing 0.012578300 -0.06003520 0.0851918029 0.9995145 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 0.045736869 -0.02687663 0.1183503715 0.5393203 R:4-FC:4 0.025235959 -0.04737754 0.0978494615 0.9648796 RW:4-FC:4 -0.014751838 -0.08736534 0.0578616651 0.9986262 FC:8-FC:4 -0.018243605 -0.09085711 0.0543698972 0.9947414 HC:8-FC:4 -0.039776174 -0.11238968 0.0328373285 0.7080959 R:8-FC:4 -0.064571253 -0.13718476 0.0080422495 0.1228426 RW:8-FC:4 -0.073252176 -0.14586568 -0.0006386735 0.0462647 R:4-HC:4 -0.020500910 -0.09311441 0.0521125927 0.9893254 RW:4-HC:4 -0.060488706 -0.13310221 0.0121247963 0.1828710 FC:8-HC:4 -0.063980474 -0.13659398 0.0086330284 0.1304497 HC:8-HC:4 -0.085513043 -0.15812655 -0.0128995403 0.0088252 R:8-HC:4 -0.110308122 -0.18292162 -0.0376946194 0.0001307 RW:8-HC:4 -0.118989045 -0.19160255 -0.0463755423 0.0000235 RW:4-R:4 -0.039987796 -0.11260130 0.0326257062 0.7024107 FC:8-R:4 -0.043479564 -0.11609307 0.0291339383 0.6045924 HC:8-R:4 -0.065012133 -0.13762564 0.0076013697 0.1173923 R:8-R:4 -0.089807212 -0.16242071 -0.0171937094 0.0046030 RW:8-R:4 -0.098488135 -0.17110164 -0.0258746324 0.0011130 FC:8-RW:4 -0.003491768 -0.07610527 0.0691217348 0.9999999 HC:8-RW:4 -0.025024337 -0.09763784 0.0475891661 0.9664642 R:8-RW:4 -0.049819416 -0.12243292 0.0227940870 0.4235944 RW:8-RW:4 -0.058500339 -0.13111384 0.0141131641 0.2186831 HC:8-FC:8 -0.021532569 -0.09414607 0.0510809340 0.9857299 R:8-FC:8 -0.046327648 -0.11894115 0.0262858549 0.5222481 RW:8-FC:8 -0.055008571 -0.12762207 0.0176049320 0.2921598 R:8-HC:8 -0.024795079 -0.09740858 0.0478184236 0.9681215 RW:8-HC:8 -0.033476002 -0.10608950 0.0391375006 0.8554403 RW:8-R:8 -0.008680923 -0.08129443 0.0639325797 0.9999597 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 -0.083268965 -0.12674888 -0.039789054 0.0000066 fixed:8-fixed:4 -0.080409859 -0.12388977 -0.036929948 0.0000148 increasing:8-fixed:4 -0.128891205 -0.17237112 -0.085411294 0.0000000 fixed:8-increasing:4 0.002859105 -0.04062081 0.046339017 0.9982657 increasing:8-increasing:4 -0.045622240 -0.08910215 -0.002142329 0.0355139 increasing:8-fixed:8 -0.048481345 -0.09196126 -0.005001434 0.0219030 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 0.4795 0.4606 0.4984 8 == 0 0.4165 0.3976 0.4354 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 0.4809 0.4620 0.4998 increasing == 0 0.4151 0.3961 0.4340 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 = 2.5001 Linear Hypotheses: Estimate lwr upr FC == 0 0.4563 0.4265 0.4861 HC == 0 0.4684 0.4386 0.4982 R == 0 0.4458 0.4160 0.4756 RW == 0 0.4214 0.3916 0.4513 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 2.279267 0.02265121 postscript 2 postscript 2