Error: protect () : protection stack overflow
No one seems to have mentioned that the size of the protection stack can be set when starting R. It worked for me starting R with --max-ppsize=100000. I'm not sure that will do more that postpone the problem, but it may help.
On Tue, 9 Dec 2008, Bert Gunter wrote:
Apparently the former, as I got the same error in R2.7.1 on Windows.
Matbe relevant info(?):
$platform
[1] "i386-pc-mingw32"
$arch
[1] "i386"
$os
[1] "mingw32"
$system
[1] "i386, mingw32"
-- Bert Gunter
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of Bricklemyer, Ross S
Sent: Tuesday, December 09, 2008 4:10 PM
To: r-help at r-project.org
Subject: [R] Error: protect () : protection stack overflow
I am attempting to create a formula using as.formula for a PLS analysis. I
have used the code below successfully, but in a previous R version and with
many fewer predictors. Any help getting all of these predictors into one
formula would be greatly appreciated.
TC.fmla <- as.formula(paste("TC ~ ", paste(vars, collapse= "+")))
As I mentioned, this code worked fine in a previous R version and with 2050
vars, however I now have the latest version of R and 36334 predictors in
vars.
Do I simply have too many predictors for this to work, or is this an R 2.8.0
issue?
Best,
Ross
*******************************************************************
Ross Bricklemyer
Dept. of Crop and Soil Sciences
Washington State University
251?Johnson Hall
PO Box 646420
Pullman, WA 99164-6420
Work: 509.335.3661
Cell/Home: 406.570.8576
Fax: 509.335.8674
Email: rsb at wsu.edu
______________________________________________ R-help at 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. ______________________________________________ R-help at 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.
Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595