ANOVA
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                       Df  Sum Sq Mean Sq  F value    Pr(>F)    
comm.strat              3  0.3867  0.1289  18.2488 1.279e-11 ***
migr.freq               1  0.0231  0.0231   3.2658   0.07095 .  
max.cpu                 1  0.8112  0.8112 114.8392 < 2.2e-16 ***
instance                2 11.8386  5.9193 837.9822 < 2.2e-16 ***
comm.strat:migr.freq    3  0.0537  0.0179   2.5323   0.05556 .  
comm.strat:max.cpu      3  0.0366  0.0122   1.7264   0.15965    
comm.strat:instance     6  0.0821  0.0137   1.9369   0.07175 .  
migr.freq:max.cpu       1  0.0040  0.0040   0.5716   0.44977    
migr.freq:instance      2  0.0001  0.0001   0.0103   0.98976    
max.cpu:instance        2  0.2531  0.1266  17.9187 2.065e-08 ***
Residuals            1415  9.9952  0.0071                       
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
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	 Simultaneous Confidence Intervals for General Linear Hypotheses

Multiple Comparisons of Means: Mean Contrasts


Fit: aov(formula = best ~ (comm.strat + migr.freq + max.cpu + instance)^2, 
    data = BestDF)

Estimated Quantile = 2.2388

Linear Hypotheses:
       Estimate lwr    upr   
4 == 0 0.2290   0.2220 0.2360
8 == 0 0.1815   0.1745 0.1886

95% family-wise confidence level
 

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	 Simultaneous Confidence Intervals for General Linear Hypotheses

Multiple Comparisons of Means: Mean Contrasts


Fit: aov(formula = best ~ (comm.strat + migr.freq + max.cpu + instance)^2, 
    data = BestDF)

Estimated Quantile = 2.3904

Linear Hypotheses:
            Estimate lwr     upr    
pcb442 == 0 0.29885  0.28968 0.30802
att532 == 0 0.08256  0.07339 0.09173
rat783 == 0 0.23443  0.22526 0.24360

95% family-wise confidence level
 

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	 Simultaneous Confidence Intervals for General Linear Hypotheses

Multiple Comparisons of Means: Mean Contrasts


Fit: aov(formula = best ~ (comm.strat + migr.freq + max.cpu + instance)^2, 
    data = BestDF)

Estimated Quantile = 2.2388

Linear Hypotheses:
       Estimate lwr    upr   
d == 0 0.2013   0.1943 0.2083
s == 0 0.2093   0.2023 0.2163

95% family-wise confidence level
 

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	 Simultaneous Confidence Intervals for General Linear Hypotheses

Multiple Comparisons of Means: Mean Contrasts


Fit: aov(formula = best ~ (comm.strat + migr.freq + max.cpu + instance)^2, 
    data = BestDF)

Estimated Quantile = 2.494

Linear Hypotheses:
        Estimate lwr    upr   
FC == 0 0.2255   0.2145 0.2366
HC == 0 0.2116   0.2005 0.2226
R == 0  0.2037   0.1927 0.2148
RW == 0 0.1803   0.1693 0.1914

95% family-wise confidence level
 

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