r - Sum of squares are different for the same factor -


i executing anova model data , observed sum of squares (and mean squares, resp.) 1 of effects not equal in 1-way anova , 2-way anova.

#             df sum sq mean sq f value pr(>f) # b            2   18.1   9.047   0.736  0.485 # residuals   44  540.5  12.285           summary(aov(x~a,dat)) #             df sum sq mean sq f value pr(>f) #            1    1.0   1.001   0.081  0.778 # residuals   45  557.6  12.392    summary(aov(x~a+b,dat)) #             df sum sq mean sq f value pr(>f) #            1    1.0   1.001   0.080  0.779 # **b          2   20.1  10.027   0.802  0.455** # residuals   43  537.6  12.502           summary(aov(x~a*b,dat)) #             df sum sq mean sq f value   pr(>f)     #            1    1.0    1.00   0.113 0.738815     # **b          2   20.1   10.03   1.129 0.333084**     # a:b          2  173.6   86.78   9.773 0.000338 *** # residuals   41  364.0    8.88

as see b effect sum sq not equal throughout different anova models.


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