On 23/09/15 01:18, Rory Wilson wrote:
Hello all, I am trying to run a random intercept model using lme4. The random effect is a factor of 29 possibilities, making a model with one random effect (one level). It is just a linear model. There are 713 observations. However, when trying to run the model I receive the error "Error: (p <- ncol(X)) == ncol(Y) is not TRUE", a search for which reveals somewhat surprisingly little. Has anyone seen this before? Note that if I simply change the random effect into a fixed effect and use lm, the model works perfectly.Thank you!
[Caveat: I really find the syntax of lmer() incomprehensible, so my example below could be a load of dingos' kidneys.]
I think a reproducible example (as specified by the posting guide) is needed here. When I do:
set.seed(42) f <- factor(sample(1:29,713,TRUE)) x <- seq(0,1,length=713) y <- rnorm(713) require(lme4) fit <- lmer(y ~ x + (1|f)) I get a reasonable (???) looking result and no error messages. cheers, Rolf Turner -- Technical Editor ANZJS Department of Statistics University of Auckland Phone: +64-9-373-7599 ext. 88276 ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
