Hi, I have performed ANOVA as below
dat = data.frame( 'A' = c(-0.3960025, -0.3492880, -1.5893792, -1.4579074, -4.9214873, -0.8575018, -2.5551363, -0.9366557, -1.4307489, -0.3943704), 'B' = c(2,1,2,2,1,2,2,2,2,2), 'C' = c(0,1,1,1,1,1,1,0,1,1)) summary(aov(A ~ B * C, dat)) However now I also tried to calculate SSE for factor C Mean = sapply(split(dat, dat$C), function(x) mean(x$A)) N = sapply(split(dat, dat$C), function(x) dim(x)[1]) N[1] * (Mean[1] - mean(dat$A))^2 + N[2] * (Mean[2] - mean(dat$A))^2 #1.691 But in ANOVA table the sum-square for C is reported as 0.77. Could you please help how exactly this C = 0.77 is obtained from aov() ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
