Displaying 5 results from an estimated 5 matches for "lme4eigen".
2012 Mar 31
2
unable to move temporary installation
.... The error message is
Warning: unable to move temporary installation ‘C:\Program
Files\R\R-2.14.2\library\file15045004ac2\sandwich’ to ‘C:\Program
Files\R\R-2.14.2\library\sandwich’
for one of the packages that is failing to install/update. This error
started happening after I attempted installing lme4Eigen from the R-Forge
repositories - that installation failed too.
Any suggestions for fixes welcome. I don't want to upgrade to 2.15 just yet
because I'm in the middle of a project (although if that's the solution I
guess I'll have to do it).
R version 2.14.2 (2012-02-29)
Platform: i3...
2012 Feb 20
1
prediction for linear mixed model
Hi, I am wondering if we can make prediction on a linear mixed model by lmer() from lme4 package? Specifically I am fitting a very simple glmer() with binomial family distribution, and want to see if I can get the predicted probability like that in regular logistic regression?
fit<-glmer(y~x+(1|id),dat,family=binomial)
where y is the response variable (0, 1), and x is a continuous variable.
2012 Feb 07
1
lme, lmer, convergence
Hello, all,
I am running some simulations to estimate power for a complicated epidemiological study, and am using lme and lmer to get these estimates. I have to run a few thousand iterations, and once in a great while, an iteration will create fake data such that the model won't converge. I see from Google searches that this is not an uncommon situation.
My question: is there a way to
2012 Feb 17
2
lmer - error message
Hi all,
I am fairly new to mixed effects models and lmer, so bear with me.
Here is a subset of my data, which includes a binary variable (lake (TOM or
JAN)), one other fixed factor (Age) and a random factor (Year).
lake FishID Age Increment Year
1 TOM 1 1 0.304 2007
2 TOM 1 2 0.148 2008
3 TOM 1 3 0.119 2009
4 TOM 1 4 0.053 2010
5
2012 Mar 25
2
avoiding for loops
I have data that looks like this:
> df1
group id
1 red A
2 red B
3 red C
4 blue D
5 blue E
6 blue F
I want a list of the groups containing vectors with the ids. I am
avoiding subset(), as it is
only recommended for interactive use. Here's what I have so far:
df1 <- data.frame(group=c("red", "red", "red", "blue",