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 83.496 2 467 84.365 -3 -0.868 1.6082 0.1867 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -1.70573 -0.15296 0.01850 0.06748 1.27797 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.4248297 0.0194000 73.445 < 2e-16 *** comm.strat1 -0.0114633 0.0274357 -0.418 0.6763 comm.strat2 -0.0095104 0.0158400 -0.600 0.5485 comm.strat3 0.0386979 0.0112006 3.455 0.0006 *** migr.freq1 0.0003857 0.0194000 0.020 0.9841 max.cpu1 -1.1571120 0.0194000 -59.645 < 2e-16 *** comm.strat1:migr.freq1 0.0378855 0.0274357 1.381 0.1680 comm.strat2:migr.freq1 0.0207357 0.0158400 1.309 0.1912 comm.strat3:migr.freq1 -0.0044721 0.0112006 -0.399 0.6899 comm.strat1:max.cpu1 0.0041274 0.0274357 0.150 0.8805 comm.strat2:max.cpu1 0.0070541 0.0158400 0.445 0.6563 comm.strat3:max.cpu1 -0.0548849 0.0112006 -4.900 1.32e-06 *** migr.freq1:max.cpu1 -0.0060968 0.0194000 -0.314 0.7535 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.425 on 467 degrees of freedom Multiple R-Squared: 0.8851, Adjusted R-squared: 0.8822 F-statistic: 299.8 on 12 and 467 DF, p-value: < 2.2e-16 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 2.25 0.75 4.1573 0.006359 ** migr.freq 1 7.14e-05 7.14e-05 0.0004 0.984148 max.cpu 1 642.68 642.68 3557.5278 < 2.2e-16 *** comm.strat:migr.freq 3 0.68 0.23 1.2600 0.287545 comm.strat:max.cpu 3 4.38 1.46 8.0776 2.955e-05 *** migr.freq:max.cpu 1 0.02 0.02 0.0988 0.753458 Residuals 467 84.36 0.18 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 1.424830 comm.strat comm.strat FC HC R RW 1.407 1.384 1.367 1.541 migr.freq migr.freq fixed increasing 1.424 1.425 max.cpu max.cpu 4 8 2.582 0.268 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 1.461 1.353 HC 1.362 1.406 R 1.321 1.413 RW 1.554 1.528 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 2.521 0.294 HC 2.489 0.279 R 2.455 0.279 RW 2.863 0.219 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 2.575 0.273 increasing 2.588 0.262 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.0549 0.0388 0.0388 0.0776 0.0776 replic. 120 240 240 60 60 migr.freq:max.cpu 0.0549 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW -0.0177 -0.0407 -0.0577 0.1161 migr.freq migr.freq fixed increasing -0.000386 0.000386 max.cpu max.cpu 4 8 1.157 -1.157 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.0541 -0.0541 HC -0.0216 0.0216 R -0.0459 0.0459 RW 0.0134 -0.0134 comm.strat:max.cpu max.cpu comm.strat 4 8 FC -0.0437 0.0437 HC -0.0520 0.0520 R -0.0690 0.0690 RW 0.1647 -0.1647 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed -0.0061 0.0061 increasing 0.0061 -0.0061 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.0388 0.0274 0.0274 0.0549 0.0549 replic. 120 240 240 60 60 migr.freq:max.cpu 0.0388 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 -0.02292660 -0.164401858 0.1185487 0.9754204 R-FC -0.03999435 -0.181469617 0.1014809 0.8855015 RW-FC 0.13381780 -0.007657468 0.2752931 0.0713545 R-HC -0.01706776 -0.158543022 0.1244075 0.9895601 RW-HC 0.15674439 0.015269128 0.2982197 0.0231100 RW-R 0.17381215 0.032336887 0.3152874 0.0088634 $migr.freq diff lwr upr p adj increasing-fixed 0.0007713314 -0.07547279 0.07701545 0.9841478 $max.cpu diff lwr upr p adj 8-4 -2.314224 -2.390468 -2.23798 0 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed -0.098697599 -0.334967961 0.13757276 0.9088413 R:fixed-FC:fixed -0.140086914 -0.376357276 0.09618345 0.6168319 RW:fixed-FC:fixed 0.093084932 -0.143185430 0.32935529 0.9318835 FC:increasing-FC:fixed -0.107526882 -0.343797244 0.12874348 0.8636042 HC:increasing-FC:fixed -0.054682474 -0.290952836 0.18158789 0.9968472 R:increasing-FC:fixed -0.047428676 -0.283699039 0.18884169 0.9987283 RW:increasing-FC:fixed 0.067023777 -0.169246585 0.30329414 0.9890188 R:fixed-HC:fixed -0.041389316 -0.277659678 0.19488105 0.9994773 RW:fixed-HC:fixed 0.191782530 -0.044487832 0.42805289 0.2103666 FC:increasing-HC:fixed -0.008829283 -0.245099645 0.22744108 1.0000000 HC:increasing-HC:fixed 0.044015125 -0.192255237 0.28028549 0.9992174 R:increasing-HC:fixed 0.051268922 -0.185001440 0.28753928 0.9979039 RW:increasing-HC:fixed 0.165721375 -0.070548987 0.40199174 0.3935469 RW:fixed-R:fixed 0.233171846 -0.003098516 0.46944221 0.0560432 FC:increasing-R:fixed 0.032560033 -0.203710330 0.26883039 0.9998945 HC:increasing-R:fixed 0.085404440 -0.150865922 0.32167480 0.9565517 R:increasing-R:fixed 0.092658238 -0.143612124 0.32892860 0.9334574 RW:increasing-R:fixed 0.207110691 -0.029159671 0.44338105 0.1348350 FC:increasing-RW:fixed -0.200611814 -0.436882176 0.03565855 0.1639124 HC:increasing-RW:fixed -0.147767406 -0.384037768 0.08850296 0.5486757 R:increasing-RW:fixed -0.140513608 -0.376783970 0.09575675 0.6130728 RW:increasing-RW:fixed -0.026061155 -0.262331517 0.21020921 0.9999767 HC:increasing-FC:increasing 0.052844408 -0.183425954 0.28911477 0.9974593 R:increasing-FC:increasing 0.060098205 -0.176172157 0.29636857 0.9943262 RW:increasing-FC:increasing 0.174550658 -0.061719704 0.41082102 0.3243493 R:increasing-HC:increasing 0.007253798 -0.229016565 0.24352416 1.0000000 RW:increasing-HC:increasing 0.121706251 -0.114564111 0.35797661 0.7690173 RW:increasing-R:increasing 0.114452453 -0.121817909 0.35072282 0.8205691 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 -3.118148e-02 -0.2674518 0.2050889 0.9999212 R:4-FC:4 -6.528418e-02 -0.3015545 0.1709862 0.9906164 RW:4-FC:4 3.421757e-01 0.1059054 0.5784461 0.0003417 FC:8-FC:4 -2.226817e+00 -2.4630878 -1.9905470 0.0000000 HC:8-FC:4 -2.241489e+00 -2.4777595 -2.0052187 0.0000000 R:8-FC:4 -2.241522e+00 -2.4777923 -2.0052516 0.0000000 RW:8-FC:4 -2.301358e+00 -2.5376279 -2.0650872 0.0000000 R:4-HC:4 -3.410270e-02 -0.2703731 0.2021677 0.9998560 RW:4-HC:4 3.733572e-01 0.1370869 0.6096276 0.0000551 FC:8-HC:4 -2.195636e+00 -2.4319063 -1.9593655 0.0000000 HC:8-HC:4 -2.210308e+00 -2.4465780 -1.9740373 0.0000000 R:8-HC:4 -2.210340e+00 -2.4466108 -1.9740701 0.0000000 RW:8-HC:4 -2.270176e+00 -2.5064464 -2.0339057 0.0000000 RW:4-R:4 4.074599e-01 0.1711896 0.6437303 0.0000064 FC:8-R:4 -2.161533e+00 -2.3978036 -1.9252628 0.0000000 HC:8-R:4 -2.176205e+00 -2.4124753 -1.9399346 0.0000000 R:8-R:4 -2.176238e+00 -2.4125081 -1.9399674 0.0000000 RW:8-R:4 -2.236073e+00 -2.4723437 -1.9998030 0.0000000 FC:8-RW:4 -2.568993e+00 -2.8052635 -2.3327228 0.0000000 HC:8-RW:4 -2.583665e+00 -2.8199352 -2.3473945 0.0000000 R:8-RW:4 -2.583698e+00 -2.8199680 -2.3474273 0.0000000 RW:8-RW:4 -2.643533e+00 -2.8798037 -2.4072629 0.0000000 HC:8-FC:8 -1.467171e-02 -0.2509421 0.2215987 0.9999996 R:8-FC:8 -1.470453e-02 -0.2509749 0.2215658 0.9999996 RW:8-FC:8 -7.454016e-02 -0.3108105 0.1617302 0.9795701 R:8-HC:8 -3.282261e-05 -0.2363032 0.2362375 1.0000000 RW:8-HC:8 -5.986845e-02 -0.2961388 0.1764019 0.9944584 RW:8-R:8 -5.983562e-02 -0.2961060 0.1764347 0.9944770 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 0.01296493 -0.1285103 0.1544402 0.9953533 fixed:8-fixed:4 -2.30203041 -2.4435057 -2.1605551 0.0000000 increasing:8-fixed:4 -2.31345268 -2.4549279 -2.1719774 0.0000000 fixed:8-increasing:4 -2.31499534 -2.4564706 -2.1735201 0.0000000 increasing:8-increasing:4 -2.32641761 -2.4678929 -2.1849423 0.0000000 increasing:8-fixed:8 -0.01142227 -0.1528975 0.1300530 0.9968075 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 2.5819 2.5204 2.6435 8 == 0 0.2677 0.2062 0.3293 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 1.4244 1.3629 1.4860 increasing == 0 1.4252 1.3637 1.4868 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 1.4071 1.3101 1.5041 HC == 0 1.3842 1.2872 1.4812 R == 0 1.3671 1.2701 1.4641 RW == 0 1.5409 1.4439 1.6379 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 4.898135 9.675052e-07 postscript 2 postscript 2