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 2.7070 2 467 2.7178 -3 -0.0108 0.6173 0.6041 Call: aov(formula = best ~ (comm.strat + migr.freq + max.cpu)^2, data = BestDF) Residuals: Min 1Q Median 3Q Max -0.303593 -0.006351 0.005531 0.030886 0.322515 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.2801246 0.0034820 80.449 < 2e-16 *** comm.strat1 -0.0016657 0.0049243 -0.338 0.735312 comm.strat2 -0.0041165 0.0028431 -1.448 0.148312 comm.strat3 -0.0142067 0.0020103 -7.067 5.8e-12 *** migr.freq1 -0.0065317 0.0034820 -1.876 0.061301 . max.cpu1 -0.0124069 0.0034820 -3.563 0.000404 *** comm.strat1:migr.freq1 -0.0066056 0.0049243 -1.341 0.180438 comm.strat2:migr.freq1 -0.0014086 0.0028431 -0.495 0.620505 comm.strat3:migr.freq1 0.0002188 0.0020103 0.109 0.913372 comm.strat1:max.cpu1 -0.0056701 0.0049243 -1.151 0.250137 comm.strat2:max.cpu1 0.0016603 0.0028431 0.584 0.559519 comm.strat3:max.cpu1 -0.0019803 0.0020103 -0.985 0.325108 migr.freq1:max.cpu1 0.0008206 0.0034820 0.236 0.813802 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.07629 on 467 degrees of freedom Multiple R-Squared: 0.1354, Adjusted R-squared: 0.1132 F-statistic: 6.093 on 12 and 467 DF, p-value: 5.742e-10 Df Sum Sq Mean Sq F value Pr(>F) comm.strat 3 0.30350 0.10117 17.3835 1.025e-10 *** migr.freq 1 0.02048 0.02048 3.5188 0.0613014 . max.cpu 1 0.07389 0.07389 12.6960 0.0004041 *** comm.strat:migr.freq 3 0.01197 0.00399 0.6856 0.5611924 comm.strat:max.cpu 3 0.01535 0.00512 0.8791 0.4518052 migr.freq:max.cpu 1 0.00032 0.00032 0.0555 0.8138015 Residuals 467 2.71782 0.00582 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Tables of means Grand mean 0.2801246 comm.strat comm.strat FC HC R RW 0.3001 0.2968 0.2861 0.2375 migr.freq migr.freq fixed increasing 0.2867 0.2736 max.cpu max.cpu 4 8 0.2925 0.2677 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC 0.2988 0.3014 HC 0.3087 0.2848 R 0.2957 0.2765 RW 0.2434 0.2316 comm.strat:max.cpu max.cpu comm.strat 4 8 FC 0.3065 0.2937 HC 0.3145 0.2790 R 0.2932 0.2790 RW 0.2559 0.2192 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.2999 0.2734 increasing 0.2852 0.2620 Standard errors for differences of means comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.00985 0.00696 0.00696 0.01393 0.01393 replic. 120 240 240 60 60 migr.freq:max.cpu 0.00985 replic. 120 Tables of effects comm.strat comm.strat FC HC R RW 0.0200 0.0167 0.0060 -0.0426 migr.freq migr.freq fixed increasing 0.00653 -0.00653 max.cpu max.cpu 4 8 0.01241 -0.01241 comm.strat:migr.freq migr.freq comm.strat fixed increasing FC -0.00780 0.00780 HC 0.00542 -0.00542 R 0.00304 -0.00304 RW -0.00066 0.00066 comm.strat:max.cpu max.cpu comm.strat 4 8 FC -0.00599 0.00599 HC 0.00535 -0.00535 R -0.00530 0.00530 RW 0.00594 -0.00594 migr.freq:max.cpu max.cpu migr.freq 4 8 fixed 0.000821 -0.000821 increasing -0.000821 0.000821 Standard errors of effects comm.strat migr.freq max.cpu comm.strat:migr.freq comm.strat:max.cpu 0.00696 0.00492 0.00492 0.00985 0.00985 replic. 120 240 240 60 60 migr.freq:max.cpu 0.00696 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 -0.003331495 -0.02872430 0.02206131 0.9866610 R-FC -0.014015256 -0.03940806 0.01137754 0.4855282 RW-FC -0.062609135 -0.08800194 -0.03721633 0.0000000 R-HC -0.010683761 -0.03607656 0.01470904 0.6990163 RW-HC -0.059277640 -0.08467044 -0.03388484 0.0000000 RW-R -0.048593879 -0.07398668 -0.02320108 0.0000067 $migr.freq diff lwr upr p adj increasing-fixed -0.0130634 -0.02674814 0.0006213362 0.0613014 $max.cpu diff lwr upr p adj 8-4 -0.02481390 -0.03849863 -0.01112916 0.0004041 $`comm.strat:migr.freq` diff lwr upr p adj HC:fixed-FC:fixed 0.009879607 -0.0325275681 0.052286781 0.9967139 R:fixed-FC:fixed -0.003183794 -0.0455909682 0.039223381 0.9999984 RW:fixed-FC:fixed -0.055470217 -0.0978773915 -0.013063042 0.0020074 FC:increasing-FC:fixed 0.002527341 -0.0398798335 0.044934516 0.9999997 HC:increasing-FC:fixed -0.014015256 -0.0564224307 0.028391919 0.9734186 R:increasing-FC:fixed -0.022319377 -0.0647265519 0.020087798 0.7487635 RW:increasing-FC:fixed -0.067220712 -0.1096278871 -0.024813538 0.0000514 R:fixed-HC:fixed -0.013063400 -0.0554705749 0.029343775 0.9821895 RW:fixed-HC:fixed -0.065349823 -0.1077569981 -0.022942649 0.0000962 FC:increasing-HC:fixed -0.007352265 -0.0497594401 0.035054909 0.9995118 HC:increasing-HC:fixed -0.023894863 -0.0663020373 0.018512312 0.6771057 R:increasing-HC:fixed -0.032198984 -0.0746061585 0.010208191 0.2892914 RW:increasing-HC:fixed -0.077100319 -0.1195074937 -0.034693144 0.0000014 RW:fixed-R:fixed -0.052286423 -0.0946935980 -0.009879249 0.0048058 FC:increasing-R:fixed 0.005711135 -0.0366960400 0.048118309 0.9999097 HC:increasing-R:fixed -0.010831462 -0.0532386371 0.031575712 0.9941802 R:increasing-R:fixed -0.019135584 -0.0615427584 0.023271591 0.8687943 RW:increasing-R:fixed -0.064036919 -0.1064440936 -0.021629744 0.0001481 FC:increasing-RW:fixed 0.057997558 0.0155903833 0.100404733 0.0009665 HC:increasing-RW:fixed 0.041454961 -0.0009522139 0.083862136 0.0607129 R:increasing-RW:fixed 0.033150840 -0.0092563351 0.075558014 0.2535602 RW:increasing-RW:fixed -0.011750496 -0.0541576703 0.030656679 0.9904571 HC:increasing-FC:increasing -0.016542597 -0.0589497719 0.025864578 0.9352403 R:increasing-FC:increasing -0.024846718 -0.0672538931 0.017560456 0.6313503 RW:increasing-FC:increasing -0.069748054 -0.1121552283 -0.027340879 0.0000214 R:increasing-HC:increasing -0.008304121 -0.0507112959 0.034103053 0.9989171 RW:increasing-HC:increasing -0.053205456 -0.0956126311 -0.010798282 0.0037563 RW:increasing-R:increasing -0.044901335 -0.0873085099 -0.002494161 0.0292550 $`comm.strat:max.cpu` diff lwr upr p adj HC:4-FC:4 8.008718e-03 -0.034398457 0.050415892 0.9991444 R:4-FC:4 -1.332598e-02 -0.055733156 0.029081194 0.9800285 RW:4-FC:4 -5.067812e-02 -0.093085290 -0.008270940 0.0073144 FC:8-FC:4 -1.283364e-02 -0.055240817 0.029573533 0.9839305 HC:8-FC:4 -2.750535e-02 -0.069912525 0.014901825 0.5001096 R:8-FC:4 -2.753817e-02 -0.069945347 0.014869002 0.4984989 RW:8-FC:4 -8.737380e-02 -0.129780972 -0.044966622 0.0000000 R:4-HC:4 -2.133470e-02 -0.063741873 0.021072476 0.7899358 RW:4-HC:4 -5.868683e-02 -0.101094008 -0.016279658 0.0007874 FC:8-HC:4 -2.084236e-02 -0.063249534 0.021564815 0.8092551 HC:8-HC:4 -3.551407e-02 -0.077921242 0.006893107 0.1774888 R:8-HC:4 -3.554689e-02 -0.077954065 0.006860284 0.1765605 RW:8-HC:4 -9.538251e-02 -0.137789689 -0.052975340 0.0000000 RW:4-R:4 -3.735213e-02 -0.079759309 0.005055041 0.1307488 FC:8-R:4 4.923392e-04 -0.041914836 0.042899514 1.0000000 HC:8-R:4 -1.417937e-02 -0.056586544 0.028227806 0.9716309 R:8-R:4 -1.421219e-02 -0.056619366 0.028194983 0.9712630 RW:8-R:4 -7.404782e-02 -0.116454991 -0.031640641 0.0000045 FC:8-RW:4 3.784447e-02 -0.004562701 0.080251648 0.1199807 HC:8-RW:4 2.317277e-02 -0.019234410 0.065579940 0.7107061 R:8-RW:4 2.313994e-02 -0.019267232 0.065547117 0.7122053 RW:8-RW:4 -3.669568e-02 -0.079102857 0.005711493 0.1462341 HC:8-FC:8 -1.467171e-02 -0.057078883 0.027735466 0.9657375 R:8-FC:8 -1.470453e-02 -0.057111706 0.027702644 0.9653154 RW:8-FC:8 -7.454016e-02 -0.116947330 -0.032132980 0.0000038 R:8-HC:8 -3.282261e-05 -0.042439997 0.042374352 1.0000000 RW:8-HC:8 -5.986845e-02 -0.102275622 -0.017461272 0.0005510 RW:8-R:8 -5.983562e-02 -0.102242799 -0.017428450 0.0005566 $`migr.freq:max.cpu` diff lwr upr p adj increasing:4-fixed:4 -0.01470453 -0.04009733 0.010688270 0.4424961 fixed:8-fixed:4 -0.02645503 -0.05184783 -0.001062226 0.0374381 increasing:8-fixed:4 -0.03787730 -0.06327010 -0.012484495 0.0007863 fixed:8-increasing:4 -0.01175050 -0.03714330 0.013642305 0.6315111 increasing:8-increasing:4 -0.02317277 -0.04856557 0.002220035 0.0878666 increasing:8-fixed:8 -0.01142227 -0.03681507 0.013970531 0.6525411 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 0.2925 0.2815 0.3036 8 == 0 0.2677 0.2567 0.2788 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 0.2867 0.2756 0.2977 increasing == 0 0.2736 0.2625 0.2846 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 0.3001 0.2827 0.3175 HC == 0 0.2968 0.2794 0.3142 R == 0 0.2861 0.2687 0.3035 RW == 0 0.2375 0.2201 0.2549 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 -0.7507496 0.4528034 postscript 2 postscript 2