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Dear list, i am a student of psychology and have to do a multilevelanalysis on some data. About that i have one general and one specific question. This is what i have copied from the help-file on lme: data(bdf) fm <- lme(langPOST ~ IQ.ver.cen + avg.IQ.ver.cen, data = bdf, random = ~ IQ.ver.cen | schoolNR) summary(fm) after summary(fm) i get the following error: Error in verbose || attr(x, "verbose") : invalid `y' type in `x || y' I assume that i have not installed the package nlme cor...

Dear all, I am planning to use nlme library for analysis of experiments in semiconductor industry. Currently I am using "lm" but plan to move to "lme" to handle within wafer / wafer-to-wafer and lot-to-lot variation correctly. So far everything is working well, but I have a fundamentel question: NLME offers "maximum likelihood" and "restricted maximum

If anyone has a few extra CPU cycles to spare, I'd appreciate it if you could verify a problem that I have encountered. Run the code below and tell me if it crashes your R before completion. library(lme4) data(bdf) dump<-sapply( 1:50000, function(i) { fm <- lme(langPOST ~ IQ.ver.cen + avg.IQ.ver.cen, data = bdf, random = ~ IQ.ver.cen | schoolNR); cat(" ",i,"\r") 0 }) The above code simply reruns the example from the lme help page a large number of times and returns a bunch of 0's, so you'll need to have the lm...

...indicated by VarCorr() and examination of str(fm). Any ideas? (I can't reproduce this on a windows95 install of 2.0.1, so I am guessing it may be a mac thing at the moment? This happens with the binary or the source installation of lme4.) Cheers andrew > data(bdf) > fm <- lme(langPOST ~ IQ.ver.cen + avg.IQ.ver.cen, data = bdf, + random = ~ IQ.ver.cen | schoolNR) > summary(fm) Error in verbose || attr(x, "verbose") : invalid `y' type in `x || y' > fm Linear mixed-effects model fit by Data: NULL Log-likelihood: NULL Fixed: list() NULL L...