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 0.192101 2 467 0.192302 -3 -0.000201 0.1618 0.922 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -0.041190 -0.009815 -0.002273 0.007479 0.193091 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 2.119e-02 9.262e-04 22.878 < 2e-16 *** comm.strat1 -2.311e-03 1.310e-03 -1.764 0.0783 . comm.strat2 -1.722e-03 7.562e-04 -2.278 0.0232 * comm.strat3 -4.110e-03 5.347e-04 -7.685 9.10e-14 *** migr.freq1 -6.323e-03 9.262e-04 -6.826 2.71e-11 *** max.cpu1 -4.136e-03 9.262e-04 -4.466 1.00e-05 *** comm.strat1:migr.freq1 1.545e-03 1.310e-03 1.180 0.2388 comm.strat2:migr.freq1 -4.022e-04 7.562e-04 -0.532 0.5951 comm.strat3:migr.freq1 2.218e-03 5.347e-04 4.148 3.99e-05 *** comm.strat1:max.cpu1 -4.630e-04 1.310e-03 -0.353 0.7239 comm.strat2:max.cpu1 -1.419e-04 7.562e-04 -0.188 0.8512 comm.strat3:max.cpu1 3.734e-04 5.347e-04 0.698 0.4853 migr.freq1:max.cpu1 5.299e-05 9.262e-04 0.057 0.9544 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.02029 on 467 degrees of freedom Multiple R-Squared: 0.2473, Adjusted R-squared: 0.228 F-statistic: 12.79 on 12 and 467 DF, p-value: < 2.2e-16 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 0.027737 0.009246 22.4528 1.350e-13 *** migr.freq 1 0.019189 0.019189 46.6008 2.715e-11 *** max.cpu 1 0.008212 0.008212 19.9422 1.002e-05 *** comm.strat:migr.freq 3 0.007773 0.002591 6.2923 0.0003427 *** comm.strat:max.cpu 3 0.000267 0.000089 0.2159 0.8853518 migr.freq:max.cpu 1 0.000001 0.000001 0.0033 0.9543996 Residuals 467 0.192302 0.000412 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 0.02119033 comm.strat comm.strat FC HC R RW 0.02933 0.02471 0.02186 0.00886 migr.freq migr.freq fixed increasing 0.02751 0.01487 max.cpu max.cpu 4 8 0.02533 0.01705 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.0390 0.0196 HC 0.0313 0.0181 R 0.0312 0.0125 RW 0.0085 0.0092 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.0332 0.0254 HC 0.0295 0.0199 R 0.0266 0.0171 RW 0.0119 0.0058 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.0317 0.0233 increasing 0.0190 0.0108 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.00262 0.00185 0.00185 0.00370 0.00370 replic. 120 240 240 60 60 migr.freq:max.cpu 0.00262 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW 0.00814 0.00352 0.00066 -0.01233 migr.freq migr.freq fixed increasing 0.00632 -0.00632 max.cpu max.cpu 4 8 0.00414 -0.00414 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.00336 -0.00336 HC 0.00027 -0.00027 R 0.00302 -0.00302 RW -0.00665 0.00665 comm.strat:max.cpu max.cpu comm.strat 4 8 FC -0.000231 0.000231 HC 0.000694 -0.000694 R 0.000657 -0.000657 RW -0.001120 0.001120 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 5.3e-05 -5.3e-05 increasing -5.3e-05 5.3e-05 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.00185 0.00131 0.00131 0.00262 0.00262 replic. 120 240 240 60 60 migr.freq:max.cpu 0.00185 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 -0.004622399 -0.011376877 0.0021320800 0.2918949 R-FC -0.007478394 -0.014232873 -0.0007239154 0.0232413 RW-FC -0.020471685 -0.027226164 -0.0137172067 0.0000000 R-HC -0.002855995 -0.009610474 0.0038984834 0.6957256 RW-HC -0.015849287 -0.022603765 -0.0090948080 0.0000000 RW-R -0.012993291 -0.019747770 -0.0062388126 0.0000059 $migr.freq diff lwr upr p adj increasing-fixed -0.01264559 -0.01628573 -0.009005452 0 $max.cpu diff lwr upr p adj 8-4 -0.008272346 -0.01191248 -0.004632209 1e-05 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed -0.0077126750 -0.0189929731 0.0035676231 0.4282988 R:fixed-FC:fixed -0.0078167998 -0.0190970979 0.0034634983 0.4100103 RW:fixed-FC:fixed -0.0304862630 -0.0417665611 -0.0192059649 0.0000000 FC:increasing-FC:fixed -0.0193672185 -0.0306475166 -0.0080869204 0.0000072 HC:increasing-FC:fixed -0.0208993410 -0.0321796391 -0.0096190429 0.0000008 R:increasing-FC:fixed -0.0265072069 -0.0377875050 -0.0152269088 0.0000000 RW:increasing-FC:fixed -0.0298243265 -0.0411046246 -0.0185440284 0.0000000 R:fixed-HC:fixed -0.0001041248 -0.0113844229 0.0111761733 1.0000000 RW:fixed-HC:fixed -0.0227735880 -0.0340538861 -0.0114932899 0.0000000 FC:increasing-HC:fixed -0.0116545436 -0.0229348417 -0.0003742455 0.0371330 HC:increasing-HC:fixed -0.0131866661 -0.0244669642 -0.0019063680 0.0096777 R:increasing-HC:fixed -0.0187945320 -0.0300748301 -0.0075142338 0.0000156 RW:increasing-HC:fixed -0.0221116516 -0.0333919497 -0.0108313535 0.0000001 RW:fixed-R:fixed -0.0226694632 -0.0339497613 -0.0113891651 0.0000001 FC:increasing-R:fixed -0.0115504187 -0.0228307168 -0.0002701206 0.0403886 HC:increasing-R:fixed -0.0130825412 -0.0243628393 -0.0018022431 0.0106698 R:increasing-R:fixed -0.0186904071 -0.0299707052 -0.0074101090 0.0000179 RW:increasing-R:fixed -0.0220075267 -0.0332878248 -0.0107272286 0.0000002 FC:increasing-RW:fixed 0.0111190444 -0.0001612537 0.0223993425 0.0566164 HC:increasing-RW:fixed 0.0095869219 -0.0016933762 0.0208672200 0.1630013 R:increasing-RW:fixed 0.0039790560 -0.0073012421 0.0152593541 0.9619156 RW:increasing-RW:fixed 0.0006619364 -0.0106183617 0.0119422345 0.9999997 HC:increasing-FC:increasing -0.0015321225 -0.0128124206 0.0097481756 0.9999044 R:increasing-FC:increasing -0.0071399884 -0.0184202865 0.0041403097 0.5328230 RW:increasing-FC:increasing -0.0104571080 -0.0217374061 0.0008231901 0.0919322 R:increasing-HC:increasing -0.0056078659 -0.0168881640 0.0056724322 0.7999550 RW:increasing-HC:increasing -0.0089249855 -0.0202052836 0.0023553126 0.2393428 RW:increasing-R:increasing -0.0033171196 -0.0145974177 0.0079631785 0.9864147 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 -0.003696431 -0.014976730 7.583867e-03 0.9746605 R:4-FC:4 -0.006589614 -0.017869912 4.690684e-03 0.6349397 RW:4-FC:4 -0.021360465 -0.032640763 -1.008017e-02 0.0000004 FC:8-FC:4 -0.007809362 -0.019089660 3.470936e-03 0.4113068 HC:8-FC:4 -0.013357728 -0.024638026 -2.077430e-03 0.0082284 R:8-FC:4 -0.016176536 -0.027456834 -4.896238e-03 0.0004120 RW:8-FC:4 -0.027392268 -0.038672566 -1.611197e-02 0.0000000 R:4-HC:4 -0.002893183 -0.014173481 8.387115e-03 0.9940296 RW:4-HC:4 -0.017664034 -0.028944332 -6.383736e-03 0.0000676 FC:8-HC:4 -0.004112931 -0.015393229 7.167367e-03 0.9544947 HC:8-HC:4 -0.009661297 -0.020941595 1.619001e-03 0.1556747 R:8-HC:4 -0.012480105 -0.023760403 -1.199807e-03 0.0184414 RW:8-HC:4 -0.023695836 -0.034976135 -1.241554e-02 0.0000000 RW:4-R:4 -0.014770851 -0.026051149 -3.490553e-03 0.0019740 FC:8-R:4 -0.001219748 -0.012500046 1.006055e-02 0.9999797 HC:8-R:4 -0.006768114 -0.018048412 4.512184e-03 0.6020566 R:8-R:4 -0.009586922 -0.020867220 1.693376e-03 0.1630013 RW:8-R:4 -0.020802654 -0.032082952 -9.522356e-03 0.0000009 FC:8-RW:4 0.013551103 0.002270805 2.483140e-02 0.0068305 HC:8-RW:4 0.008002737 -0.003277561 1.928304e-02 0.3781381 R:8-RW:4 0.005183929 -0.006096369 1.646423e-02 0.8574806 RW:8-RW:4 -0.006031803 -0.017312101 5.248495e-03 0.7331039 HC:8-FC:8 -0.005548366 -0.016828664 5.731932e-03 0.8086347 R:8-FC:8 -0.008367174 -0.019647472 2.913124e-03 0.3191246 RW:8-FC:8 -0.019582906 -0.030863204 -8.302608e-03 0.0000053 R:8-HC:8 -0.002818808 -0.014099106 8.461490e-03 0.9949141 RW:8-HC:8 -0.014034540 -0.025314838 -2.754242e-03 0.0042335 RW:8-R:8 -0.011215732 -0.022496030 6.456633e-05 0.0525660 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 -0.012751573 -0.019506052 -0.005997094 0.0000092 fixed:8-fixed:4 -0.008378330 -0.015132809 -0.001623851 0.0080250 increasing:8-fixed:4 -0.020917935 -0.027672413 -0.014163456 0.0000000 fixed:8-increasing:4 0.004373243 -0.002381236 0.011127722 0.3411410 increasing:8-increasing:4 -0.008166362 -0.014920840 -0.001411883 0.0104213 increasing:8-fixed:8 -0.012539605 -0.019294083 -0.005785126 0.0000135 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 0.02533 0.02239 0.02827 8 == 0 0.01705 0.01412 0.01999 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 0.02751 0.02457 0.03045 increasing == 0 0.01487 0.01193 0.01781 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 0.029333 0.024702 0.033965 HC == 0 0.024711 0.020080 0.029342 R == 0 0.021855 0.017224 0.026486 RW == 0 0.008862 0.004230 0.013493 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 3.315535 0.0009146773 postscript 2 postscript 2