La moyenne de la variable survie [1] 558.625 ................................................................. Modele M1 en utilisant aov Df Sum Sq Mean Sq F value Pr(>F) type 4 11535761 2883940 6.4334 0.0002295 *** Residuals 59 26448144 448274 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Tables of effects type Breast Bronchus Colon Ovary Stomach 837.3 -347.0 -101.2 325.7 -272.6 rep 11.0 17.0 17.0 6.0 13.0 ................................................................. Modele M2 en utilisant lm Call: lm(formula = survie ~ type) Residuals: Min 1Q Median 3Q Max -1371.91 -241.75 -111.50 87.19 2412.09 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1395.9 201.9 6.915 3.77e-09 *** typeBronchus -1184.3 259.1 -4.571 2.53e-05 *** typeColon -938.5 259.1 -3.622 0.000608 *** typeOvary -511.6 339.8 -1.506 0.137526 typeStomach -1109.9 274.3 -4.046 0.000153 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 669.5 on 59 degrees of freedom Multiple R-squared: 0.3037, Adjusted R-squared: 0.2565 F-statistic: 6.433 on 4 and 59 DF, p-value: 0.0002295