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 2.5220 2 467 2.5271 -3 -0.0051 0.3126 0.8163 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -0.220409 -0.050557 0.002781 0.051947 0.189070 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.2928504 0.0033576 87.220 < 2e-16 *** comm.strat1 -0.0007872 0.0047484 -0.166 0.8684 comm.strat2 0.0008313 0.0027415 0.303 0.7618 comm.strat3 0.0039542 0.0019385 2.040 0.0419 * migr.freq1 -0.0081990 0.0033576 -2.442 0.0150 * max.cpu1 -0.0214189 0.0033576 -6.379 4.29e-10 *** comm.strat1:migr.freq1 0.0005370 0.0047484 0.113 0.9100 comm.strat2:migr.freq1 -0.0012482 0.0027415 -0.455 0.6491 comm.strat3:migr.freq1 0.0009282 0.0019385 0.479 0.6323 comm.strat1:max.cpu1 0.0067313 0.0047484 1.418 0.1570 comm.strat2:max.cpu1 -0.0034601 0.0027415 -1.262 0.2075 comm.strat3:max.cpu1 -0.0012666 0.0019385 -0.653 0.5138 migr.freq1:max.cpu1 -0.0085006 0.0033576 -2.532 0.0117 * --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.07356 on 467 degrees of freedom Multiple R-Squared: 0.1169, Adjusted R-squared: 0.09422 F-statistic: 5.152 on 12 and 467 DF, p-value: 3.93e-08 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 0.02316 0.00772 1.4268 0.23420 migr.freq 1 0.03227 0.03227 5.9630 0.01498 * max.cpu 1 0.22021 0.22021 40.6945 4.289e-10 *** comm.strat:migr.freq 3 0.00243 0.00081 0.1498 0.92982 comm.strat:max.cpu 3 0.02180 0.00727 1.3432 0.25969 migr.freq:max.cpu 1 0.03469 0.03469 6.4098 0.01168 * Residuals 467 2.52707 0.00541 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 0.2928504 comm.strat comm.strat FC HC R RW 0.2889 0.2873 0.2906 0.3047 migr.freq migr.freq fixed increasing 0.3010 0.2847 max.cpu max.cpu 4 8 0.3143 0.2714 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.2973 0.2804 HC 0.2946 0.2799 R 0.3022 0.2789 RW 0.3101 0.2993 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.312 0.265 HC 0.297 0.277 R 0.318 0.263 RW 0.330 0.279 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.3140 0.2881 increasing 0.3146 0.2547 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.00950 0.00672 0.00672 0.01343 0.01343 replic. 120 240 240 60 60 migr.freq:max.cpu 0.00950 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW -0.00400 -0.00557 -0.00229 0.01186 migr.freq migr.freq fixed increasing 0.0082 -0.0082 max.cpu max.cpu 4 8 0.02142 -0.02142 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.00022 -0.00022 HC -0.00086 0.00086 R 0.00342 -0.00342 RW -0.00278 0.00278 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.00200 -0.00200 HC -0.01146 0.01146 R 0.00565 -0.00565 RW 0.00380 -0.00380 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed -0.0085 0.0085 increasing 0.0085 -0.0085 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.00672 0.00475 0.00475 0.00950 0.00950 replic. 120 240 240 60 60 migr.freq:max.cpu 0.00672 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 -0.001574326 -0.026059825 0.02291117 0.9983780 R-FC 0.001706746 -0.022778753 0.02619224 0.9979370 RW-FC 0.015860965 -0.008624534 0.04034646 0.3407077 R-HC 0.003281072 -0.021204428 0.02776657 0.9858141 RW-HC 0.017435291 -0.007050208 0.04192079 0.2577845 RW-R 0.014154219 -0.010331280 0.03863972 0.4440857 $migr.freq diff lwr upr p adj increasing-fixed -0.016398 -0.02959377 -0.003202230 0.0149794 $max.cpu diff lwr upr p adj 8-4 -0.04283785 -0.05603362 -0.02964208 0 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed -0.0026483986 -0.04354034 0.038243540 0.9999994 R:fixed-FC:fixed 0.0049142507 -0.03597769 0.045806189 0.9999583 RW:fixed-FC:fixed 0.0128594465 -0.02803249 0.053751385 0.9799428 FC:increasing-FC:fixed -0.0168320444 -0.05772398 0.024059894 0.9151871 HC:increasing-FC:fixed -0.0173322975 -0.05822424 0.023559641 0.9021839 R:increasing-FC:fixed -0.0183328037 -0.05922474 0.022559135 0.8726256 RW:increasing-FC:fixed 0.0020304389 -0.03886150 0.042922378 0.9999999 R:fixed-HC:fixed 0.0075626493 -0.03332929 0.048454588 0.9992537 RW:fixed-HC:fixed 0.0155078451 -0.02538409 0.056399784 0.9440139 FC:increasing-HC:fixed -0.0141836458 -0.05507558 0.026708293 0.9652548 HC:increasing-HC:fixed -0.0146838989 -0.05557584 0.026208040 0.9580643 R:increasing-HC:fixed -0.0156844051 -0.05657634 0.025207534 0.9406266 RW:increasing-HC:fixed 0.0046788375 -0.03621310 0.045570776 0.9999701 RW:fixed-R:fixed 0.0079451958 -0.03294674 0.048837134 0.9989705 FC:increasing-R:fixed -0.0217462952 -0.06263823 0.019145643 0.7385853 HC:increasing-R:fixed -0.0222465483 -0.06313849 0.018645390 0.7153510 R:increasing-R:fixed -0.0232470544 -0.06413899 0.017644884 0.6669640 RW:increasing-R:fixed -0.0028838118 -0.04377575 0.038008127 0.9999989 FC:increasing-RW:fixed -0.0296914910 -0.07058343 0.011200448 0.3471033 HC:increasing-RW:fixed -0.0301917441 -0.07108368 0.010700195 0.3251346 R:increasing-RW:fixed -0.0311922502 -0.07208419 0.009699688 0.2835084 RW:increasing-RW:fixed -0.0108290076 -0.05172095 0.030062931 0.9927408 HC:increasing-FC:increasing -0.0005002531 -0.04139219 0.040391686 1.0000000 R:increasing-FC:increasing -0.0015007592 -0.04239270 0.039391179 1.0000000 RW:increasing-FC:increasing 0.0188624834 -0.02202946 0.059754422 0.8550751 R:increasing-HC:increasing -0.0010005061 -0.04189244 0.039891432 1.0000000 RW:increasing-HC:increasing 0.0193627364 -0.02152920 0.060254675 0.8373228 RW:increasing-R:increasing 0.0203632426 -0.02052870 0.061255181 0.7985574 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 -0.015037019 -0.05592896 0.0258549199 0.9523897 R:4-FC:4 0.005355651 -0.03553629 0.0462475891 0.9999252 RW:4-FC:4 0.017655991 -0.02323595 0.0585479293 0.8931393 FC:8-FC:4 -0.046847229 -0.08773917 -0.0059552900 0.0123684 HC:8-FC:4 -0.034958862 -0.07585080 0.0059330771 0.1573935 R:8-FC:4 -0.048789388 -0.08968133 -0.0078974489 0.0074677 RW:8-FC:4 -0.032781289 -0.07367323 0.0081106493 0.2242605 R:4-HC:4 0.020392669 -0.02049927 0.0612846079 0.7973547 RW:4-HC:4 0.032693009 -0.00819893 0.0735849480 0.2273223 FC:8-HC:4 -0.031810210 -0.07270215 0.0090817288 0.2594365 HC:8-HC:4 -0.019921843 -0.06081378 0.0209700958 0.8161778 R:8-HC:4 -0.033752369 -0.07464431 0.0071395698 0.1923926 RW:8-HC:4 -0.017744271 -0.05863621 0.0231476680 0.8905864 RW:4-R:4 0.012300340 -0.02859160 0.0531922788 0.9844876 FC:8-R:4 -0.052202879 -0.09309482 -0.0113109405 0.0029123 HC:8-R:4 -0.040314512 -0.08120645 0.0005774266 0.0565315 R:8-R:4 -0.054145038 -0.09503698 -0.0132530994 0.0016539 RW:8-R:4 -0.038136940 -0.07902888 0.0027549988 0.0879314 FC:8-RW:4 -0.064503219 -0.10539516 -0.0236112806 0.0000574 HC:8-RW:4 -0.052614852 -0.09350679 -0.0117229136 0.0025876 R:8-RW:4 -0.066445378 -0.10733732 -0.0255534396 0.0000288 RW:8-RW:4 -0.050437280 -0.09132922 -0.0095453414 0.0047806 HC:8-FC:8 0.011888367 -0.02900357 0.0527803057 0.9872980 R:8-FC:8 -0.001942159 -0.04283410 0.0389497797 0.9999999 RW:8-FC:8 0.014065939 -0.02682600 0.0549578779 0.9668080 R:8-HC:8 -0.013830526 -0.05472246 0.0270614126 0.9697618 RW:8-HC:8 0.002177572 -0.03871437 0.0430695108 0.9999998 RW:8-R:8 0.016008098 -0.02488384 0.0569000368 0.9340584 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 0.0006032463 -0.02388225 0.025088746 0.9999079 fixed:8-fixed:4 -0.0258365997 -0.05032210 -0.001351101 0.0340471 increasing:8-fixed:4 -0.0592358487 -0.08372135 -0.034750350 0.0000000 fixed:8-increasing:4 -0.0264398460 -0.05092535 -0.001954347 0.0284798 increasing:8-increasing:4 -0.0598390951 -0.08432459 -0.035353596 0.0000000 increasing:8-fixed:8 -0.0333992490 -0.05788475 -0.008913750 0.0026914 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 0.3143 0.3036 0.3249 8 == 0 0.2714 0.2608 0.2821 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 0.3010 0.2904 0.3117 increasing == 0 0.2847 0.2740 0.2953 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 0.2889 0.2721 0.3056 HC == 0 0.2873 0.2705 0.3041 R == 0 0.2906 0.2738 0.3073 RW == 0 0.3047 0.2879 0.3215 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 -1.374387 0.1693215 postscript 2 postscript 2