On 12-09-17 6:26 PM, Søren Højsgaard wrote:
Dear list,
Given a linear mixed model (from lme4) I want to 1) first change the input
dataset and then 2) change the model formula. I want this to happen in a
function call;
Please see below. Options 1) and 2) below work whereas 3) fails with the message
I get the failure in 1), not in 3). I think it's a bug. The problem
appears to be that the update method for mer objects looks in the wrong
place for its variables. It is looking in parent.frame() (i.e. in the
caller), but the caller isn't you. The method should be looking in
parent.frame(2).
You can fix this yourself if you have the lme4 source (it's line 1483 of
lmer.R in version 0.999999-0) but you probably want to send your sample
code to the maintainers. Making that change might break something else.
Duncan Murdoch
foo()
Error in is.data.frame(data) : object 'beets2' not found
Question: What is it one must to in case 3) to have R look "inside" the function to
figure out what "beets2" is?
Best regards
Søren
________________
library(pbkrtest)
data(beets)
lgs <- lmer(sugpct~block+sow+harvest+(1|block:harvest), data=beets, REML=F)
foo <- function(){
## 1)
beets2 <- transform(beets, yy = sugpct * yield)
ma1 <- lmer(yy~block+sow+harvest+(1|block:harvest), data=beets2,
REML=F)
ma0 <- update(ma1, yy~.)
## 2)
cl <- getCall(lgs)
cl[["data"]] <- beets2
mb1 <- eval(cl)
mb0 <- update(mb1, yy~.)
mb0
## 3)
cl <- getCall(lgs)
cl[["data"]] <- as.name("beets2")
mc1 <- eval(cl)
mc0 <- update(mc1, yy~.)
mc0
}
foo()
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