AList <- vector(mode="list", length=3)
for(i in 1:3){
y <- df[,i])
mod <- lm(y~Tr*Dose, data=x, contrasts=list(Tr=contr.sum, Dose=contr.sum))
AList[[i]] <- Anova(mod, type="III")
}hope this helps. spencer graves
CENDOYA, Gabriela wrote:
Hi R-Helpers:
I’m trying to fit the same linear model to a bunch of variables in a data frame, so I was trying to adapt the codes John Fox, Spencer Graves and Peter Dalgaard proposed and discused yesterday on this e-mail list:
for (y in df[, 3:5]) { mod = lm(y ~ Trt*Dose, data = x, contrasts = list(Trt = contr.sum, Dose = contr.sum)) Anova(mod, type = "III") } ## by John Fox
or for (myname in names(myframe)){ mycall <- substitute(lm(myvar~etc.etc.....),list(myvar=as.name(myname))) myfit <- eval(mycall) print(summary(myfit)) } ## by Peter Dalgaard
But instead of printing summary or Anova results, I need to generate a list containing all the lm() objects. Is that possible? How?
Thanks, Gabriela.
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