Hi everyone, I ran a binomial GAM consisting of a tensor product of two continuous variables, a continuous parametric term and crossed random intercepts on a data set with 13,042 rows. When trying to plot the tensor product with vis.gam(), I get the following error message:
Error in persp.default(m1, m2, z, col = col, zlim = c(min.z, max.z), xlab = view[1], : invalid 'z' limits In addition: Warning messages: 1: In max(z, na.rm = TRUE) : no non-missing arguments to max; returning -Inf 2: In min(fv$fit, na.rm = TRUE) : no non-missing arguments to min; returning Inf 3: In max(fv$fit, na.rm = TRUE) : no non-missing arguments to max; returning -Inf When I specify zlim in vis.gam, the 3D frame of the graph is plotted, but not the tensor product surface itself, and vis.gam() returns the following warning: Warning message: In max(z, na.rm = TRUE) : no non-missing arguments to max; returning -Inf Unfortunately, I cannot replicate these errors with made-up data nor with a random subset of the full data set. When I run the model WITHOUT the third variable, everything works fine. Can anyone give me some pointers? Thank you! Jan R version: 2.15.1 (32 bit Linux) mgcv, version 1.7-19 -- View this message in context: http://r.789695.n4.nabble.com/mgcv-1-7-19-vis-gam-invalid-z-limits-tp4638423.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org 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.
