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Is it really the same model? Following the example provided by Lars: set.seed(1) x1 <- rnorm(100) f1 <- factor(sample(letters[1:3], 100, replace = TRUE)) trt <- sample(c(-1,1), 100, replace = TRUE) y <- factor(sample(c(0...

Dear list, What is a better way relative to the one below to keep the order of factor levels created from cut()? Notice, I'm simply pasting letters to levels before converting to character so to keep the desired order...

Thanks Peter. That make sense. Nevertheless, what comes at a surprise to me (and maybe to others) is that one can potentially get different fits by simply swapping the terms in the model formula. Best, Leo. -----Original Message----- From: peter...

I'm guessing this has something to do with numerical precision on the two platforms. Leo. ----- Original Message ----- From: Joshua Wiley <jwiley.psych at gmail.com> To: Axel Urbiz <axel.urbiz at gmail.com> Cc: R-help at r-project...

Or alternatively (though very similar to Peter's idea) you can do ci <- contrasts formals(ci)$contrasts <- FALSE dd <- data.frame(a = gl(3,4), b = gl(4,1,12)) mm <- model.matrix(~ a + b, dd, contrasts = list(a=ci...