The problem would appear to be something missing in R. From what I can
see you have saved a reference to a package environment in your workspace.
When load() tries to resolve this, it calls findPackageEnv and that does
not exist in current R (or any recent version I looked at).
I think adding the following to your new session before load() will help
findPackageEnv <- function(info)
as.environment(paste("package", "info", sep=":"))
will work, but if not try
findPackageEnv <- function(info) .GlobalEnv
If you send me the problematic workspace (or reproduction instructions) I
can take a closer look.
On Fri, 15 Jun 2007, Pfister wrote:
Hello R,
To analyze multi-level data, I started learning and using lmer. So far
so wonderful. I then found some useful functions in package languageR.
But then the following problem ocurred: Whenever I load and use the
languageR package, then save the workspace - or quit R with saving the
workspace - I am unable to reload that workspace in a later session.
That is, R doesn't start at all when I try to start it by clicking the
workspace file.
Loading languageR before loading the workspace doesn't help, but yields
the message:
Error in load("D:\\statistics\\MultilevelAnalysis\\.RData") :
could not find function "findPackageEnv"
Thus, the saved workspace remains inaccessible. I not 100% certain that
languageR is the scapegoat, but my trial-and-error experiments indicate
it is.
My system is Win XP Home/Professional:
> sessionInfo()
R version 2.5.0 Patched (2007-04-24 r41305)
i386-pc-mingw32
locale:
LC_COLLATE=German_Germany.1252;LC_CTYPE=German_Germany.1252;LC_MONETARY=German_Germany.1252;LC_NUMERIC=C;LC_TIME=German_Germany.1252
attached base packages:
[1] "splines" "stats" "graphics" "grDevices" "utils"
[6] "datasets" "methods" "base"
other attached packages:
languageR rpart MASS Design survival
"0.2" "3.1-36" "7.2-34" "2.0-12" "2.31"
Hmisc e1071 class cluster zipfR
"3.3-2" "1.5-16" "7.2-34" "1.11.7" "0.6-0"
lme4 coda Matrix lattice
"0.99875-1" "0.11-2" "0.99875-2" "0.15-8"
thanks for any helpful suggestions!
best
Rüdiger
--
Brian D. Ripley, [EMAIL PROTECTED]
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
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