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 5.9324 2 467 5.9645 -3 -0.0321 0.8366 0.4743 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -0.287761 -0.076222 -0.001566 0.072592 0.400802 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.239081 0.005158 46.349 < 2e-16 *** comm.strat1 0.003245 0.007295 0.445 0.65669 comm.strat2 -0.010563 0.004212 -2.508 0.01248 * comm.strat3 -0.012109 0.002978 -4.066 5.61e-05 *** migr.freq1 -0.020833 0.005158 -4.039 6.28e-05 *** max.cpu1 -0.039276 0.005158 -7.614 1.48e-13 *** comm.strat1:migr.freq1 -0.013579 0.007295 -1.861 0.06331 . comm.strat2:migr.freq1 -0.001519 0.004212 -0.361 0.71850 comm.strat3:migr.freq1 0.006689 0.002978 2.246 0.02517 * comm.strat1:max.cpu1 0.009823 0.007295 1.347 0.17878 comm.strat2:max.cpu1 -0.011618 0.004212 -2.758 0.00604 ** comm.strat3:max.cpu1 0.002030 0.002978 0.682 0.49578 migr.freq1:max.cpu1 0.002585 0.005158 0.501 0.61645 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.113 on 467 degrees of freedom Multiple R-Squared: 0.1991, Adjusted R-squared: 0.1785 F-statistic: 9.674 on 12 and 467 DF, p-value: < 2.2e-16 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 0.2940 0.0980 7.6734 5.146e-05 *** migr.freq 1 0.2083 0.2083 16.3118 6.280e-05 *** max.cpu 1 0.7405 0.7405 57.9759 1.483e-13 *** comm.strat:migr.freq 3 0.1103 0.0368 2.8799 0.03559 * comm.strat:max.cpu 3 0.1263 0.0421 3.2957 0.02040 * migr.freq:max.cpu 1 0.0032 0.0032 0.2512 0.61645 Residuals 467 5.9645 0.0128 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 0.2390808 comm.strat comm.strat FC HC R RW 0.2585 0.2650 0.2301 0.2028 migr.freq migr.freq fixed increasing 0.2599 0.2182 max.cpu max.cpu 4 8 0.2784 0.1998 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.2709 0.2461 HC 0.3046 0.2254 R 0.2606 0.1995 RW 0.2035 0.2020 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.2980 0.2190 HC 0.2849 0.2451 R 0.2946 0.1655 RW 0.2359 0.1696 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.3018 0.2181 increasing 0.2549 0.1816 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.0146 0.0103 0.0103 0.0206 0.0206 replic. 120 240 240 60 60 migr.freq:max.cpu 0.0146 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW 0.0194 0.0259 -0.0090 -0.0363 migr.freq migr.freq fixed increasing 0.02083 -0.02083 max.cpu max.cpu 4 8 0.0393 -0.0393 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC -0.00841 0.00841 HC 0.01875 -0.01875 R 0.00973 -0.00973 RW -0.02007 0.02007 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.00024 -0.00024 HC -0.01941 0.01941 R 0.02527 -0.02527 RW -0.00609 0.00609 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.002585 -0.002585 increasing -0.002585 0.002585 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.0103 0.0073 0.0073 0.0146 0.0146 replic. 120 240 240 60 60 migr.freq:max.cpu 0.0103 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 0.006489208 -0.03112809 0.044106508 0.9706060 R-FC -0.028444673 -0.06606197 0.009172627 0.2089283 RW-FC -0.055755128 -0.09337243 -0.018137828 0.0008647 R-HC -0.034933881 -0.07255118 0.002683419 0.0795391 RW-HC -0.062244336 -0.09986164 -0.024627037 0.0001411 RW-R -0.027310456 -0.06492776 0.010306844 0.2416114 $migr.freq diff lwr upr p adj increasing-fixed -0.04166667 -0.06193945 -0.02139388 6.28e-05 $max.cpu diff lwr upr p adj 8-4 -0.07855289 -0.09882567 -0.0582801 0 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed 0.033647195 -0.02917547 0.096469860 0.7314632 R:fixed-FC:fixed -0.010308358 -0.07313102 0.052514307 0.9996608 RW:fixed-FC:fixed -0.067413390 -0.13023606 -0.004590726 0.0255403 FC:increasing-FC:fixed -0.024848647 -0.08767131 0.037974018 0.9305040 HC:increasing-FC:fixed -0.045517426 -0.10834009 0.017305239 0.3499535 R:increasing-FC:fixed -0.071429634 -0.13425230 -0.008606969 0.0135221 RW:increasing-FC:fixed -0.068945513 -0.13176818 -0.006122848 0.0201428 R:fixed-HC:fixed -0.043955554 -0.10677822 0.018867111 0.3968953 RW:fixed-HC:fixed -0.101060586 -0.16388325 -0.038237921 0.0000365 FC:increasing-HC:fixed -0.058495842 -0.12131851 0.004326822 0.0889891 HC:increasing-HC:fixed -0.079164621 -0.14198729 -0.016341956 0.0035262 R:increasing-HC:fixed -0.105076829 -0.16789949 -0.042254164 0.0000141 RW:increasing-HC:fixed -0.102592708 -0.16541537 -0.039770043 0.0000255 RW:fixed-R:fixed -0.057105032 -0.11992770 0.005717633 0.1058104 FC:increasing-R:fixed -0.014540289 -0.07736295 0.048282376 0.9968464 HC:increasing-R:fixed -0.035209068 -0.09803173 0.027613597 0.6831274 R:increasing-R:fixed -0.061121276 -0.12394394 0.001701389 0.0631452 RW:increasing-R:fixed -0.058637155 -0.12145982 0.004185510 0.0874079 FC:increasing-RW:fixed 0.042564743 -0.02025792 0.105387408 0.4407228 HC:increasing-RW:fixed 0.021895964 -0.04092670 0.084718629 0.9643248 R:increasing-RW:fixed -0.004016243 -0.06683891 0.058806421 0.9999995 RW:increasing-RW:fixed -0.001532123 -0.06435479 0.061290542 1.0000000 HC:increasing-FC:increasing -0.020668779 -0.08349144 0.042153886 0.9740844 R:increasing-FC:increasing -0.046580987 -0.10940365 0.016241678 0.3196200 RW:increasing-FC:increasing -0.044096866 -0.10691953 0.018725799 0.3925414 R:increasing-HC:increasing -0.025912208 -0.08873487 0.036910457 0.9143285 RW:increasing-HC:increasing -0.023428087 -0.08625075 0.039394578 0.9487249 RW:increasing-R:increasing 0.002484121 -0.06033854 0.065306786 1.0000000 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 -0.013156916 -0.07597958 0.0496657488 0.9983293 R:4-FC:4 -0.003413807 -0.06623647 0.0594088580 0.9999998 RW:4-FC:4 -0.062080712 -0.12490338 0.0007419533 0.0554160 FC:8-FC:4 -0.079023309 -0.14184597 -0.0162006442 0.0036188 HC:8-FC:4 -0.052887977 -0.11571064 0.0099346884 0.1722492 R:8-FC:4 -0.132498847 -0.19532151 -0.0696761823 0.0000000 RW:8-FC:4 -0.128452854 -0.19127552 -0.0656301888 0.0000000 R:4-HC:4 0.009743109 -0.05307956 0.0725657741 0.9997670 RW:4-HC:4 -0.048923795 -0.11174646 0.0138988694 0.2581192 FC:8-HC:4 -0.065866393 -0.12868906 -0.0030437280 0.0322444 HC:8-HC:4 -0.039731060 -0.10255373 0.0230916045 0.5339336 R:8-HC:4 -0.119341931 -0.18216460 -0.0565192661 0.0000004 RW:8-HC:4 -0.115295938 -0.17811860 -0.0524732727 0.0000011 RW:4-R:4 -0.058666905 -0.12148957 0.0041557603 0.0870779 FC:8-R:4 -0.075609502 -0.13843217 -0.0127868372 0.0066655 HC:8-R:4 -0.049474170 -0.11229683 0.0133484953 0.2448036 R:8-R:4 -0.129085040 -0.19190771 -0.0662623753 0.0000000 RW:8-R:4 -0.125039047 -0.18786171 -0.0622163819 0.0000001 FC:8-RW:4 -0.016942597 -0.07976526 0.0458800675 0.9918926 HC:8-RW:4 0.009192735 -0.05362993 0.0720154000 0.9998421 R:8-RW:4 -0.070418136 -0.13324080 -0.0075954706 0.0159364 RW:8-RW:4 -0.066372142 -0.12919481 -0.0035494772 0.0299007 HC:8-FC:8 0.026135333 -0.03668733 0.0889579975 0.9106514 R:8-FC:8 -0.053475538 -0.11629820 0.0093471268 0.1615011 RW:8-FC:8 -0.049429545 -0.11225221 0.0133931203 0.2458667 R:8-HC:8 -0.079610871 -0.14243354 -0.0167882057 0.0032481 RW:8-HC:8 -0.075564877 -0.13838754 -0.0127422123 0.0067176 RW:8-R:8 0.004045993 -0.05877667 0.0668686584 0.9999994 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 -0.04683758 -0.08445488 -0.0092202804 0.0077129 fixed:8-fixed:4 -0.08372380 -0.12134110 -0.0461065017 0.0000001 increasing:8-fixed:4 -0.12021955 -0.15783685 -0.0826022549 0.0000000 fixed:8-increasing:4 -0.03688622 -0.07450352 0.0007310784 0.0569496 increasing:8-increasing:4 -0.07338197 -0.11099927 -0.0357646748 0.0000042 increasing:8-fixed:8 -0.03649575 -0.07411305 0.0011215465 0.0609807 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 0.2784 0.2620 0.2947 8 == 0 0.1998 0.1834 0.2162 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 0.2599 0.2435 0.2763 increasing == 0 0.2182 0.2019 0.2346 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 0.2585 0.2327 0.2843 HC == 0 0.2650 0.2392 0.2908 R == 0 0.2301 0.2043 0.2559 RW == 0 0.2028 0.1770 0.2285 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 0.3036068 0.7614275 postscript 2 postscript 2