I run a linear mixed-effects model in a loop for (i in 1:N) { fit.lme <- lme(Y ~ X1*X2, random = ~1|subj, Model[i]); }
As the data in some iterations are all (or most) 0's, leading to the following error message from lme: Error in chol((value + t(value))/2) : the leading minor of order 1 is not positive definite What is a good way to catch the error without spilling on the screen so that I can properly stuff the corresponding output with some artificial value such as 0? Thanks, Gang ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.