I'm trying to install the "factoextra" package using a local source tar ball on Windows. I can install other packages in the same way with no problem. However, when installing "factoextra", I get an error relating to S3methods.
I have tried using local windows binaries, installing the latest Rtools and made sure I have all the dependencies installed. I have also tried to use archived versions of the package.
install.packages('D:\\R_Packages\\Packages\\factoextra_1.0.5.tar.gz', repos = NULL, type="source")
* installing *source* package 'factoextra' ...
** package 'factoextra' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** byte-compile and prepare package for lazy loading
Error in rbind(info, getNamespaceInfo(env, "S3methods")) :
number of columns of matrices must match (see arg 2)
ERROR: lazy loading failed for package 'factoextra'
* removing 'D:/R-3.5.2/library/factoextra'
In R CMD INSTALL
Warning in install.packages :
installation of package ‘D:/R_Packages/Packages/factoextra_1.0.5.tar.gz’ had non-zero exit status
I really just need this package to install.
I found this thread: http://r.789695.n4.nabble.com/Error-in-rbind-info-getNamespaceInfo-env-quot-S3methods-quot-td4755490.html, which leads me to how I solved a similar issue on my machine.
I found that a broken version of the package was installed on my system and had to be removed manually before I could install a clean version.
Find if and where factoextra is installed (it might be on your system, just outdated or broken):
find.package("factoextra")
If it's there already (just broken), you can try to remove it with:
remove.packages("factoextra")
If remove.packages() fails even though find.packages() says the package is there, use the path returned by find.packages() to use your OS' file system to find and delete the package - just be careful only to delete stuff you know is broken.
Once the old, broken package is removed, use install.packages("factoextra") and it should work.
I had several packages that were broken in this way. If that's the case for you, you can identify which packages to remove and install this way by using something like:
allPackages <- installed.packages()[, 1]
findBrokenPackages <- function(packages) {
for (p in packages) {
tryCatch(ncol(asNamespace(p)$.__NAMESPACE__.$S3methods),
error = function(e) print(c(p, e)))
}
}
findBrokenPackages(allPackages)
This will print out any packages that have the same issue. I would suggest removing all broken packages before trying to use install.packages() again.
