I was able to use the library(tm)
in r without problem until today, when loading tm
shows:
library(tm)
Loading required package: NLP
Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) :
there is no package called ‘slam’
Error: package or namespace load failed for ‘tm’
I thought this is a dependency issue and seek to reinstall package
install.packages("tm")
Warning in install.packages : dependency ‘slam’ is not available
and then try to find slam
:
install.packages("slam")
Warning in install.packages :
package ‘slam’ is not available (for R version 3.2.4)
I also tried some of the issues listed here and chooseCRANmirror()
, still no luck. Is there something wrong with the package or is it just that my r does not allow 'slam' to install after today?
session info
> sessionInfo()
R version 3.2.4 (2016-03-10)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.11.6 (El Capitan)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] NLP_0.1-9
loaded via a namespace (and not attached):
[1] parallel_3.2.4 tools_3.2.4
I had the same problem and:
and everything works fine now.
I found a hint at this german site about R under Install additional R packages ("Zusätzliche R-Pakete installieren") After I installed slam seperatly over apt-get for example:
I could install tm the normal way:
And load the library aswell.
I hope my answer helps someone.
Just Install NLP package with
dependencies = True
Install tm packaged with
dependencies = True
And things should work out:)
I used the following code to install the binary or the older version of slam. It worked for me.
I am using R3.2.5. I was trying to install "tm". I did install NLP as a dependency but gave me an error :
The option I had to was to download the zip/tar/gz file(binaries) from https://cran.r-project.org/web/packages/slam/index.html and install the package. It worked for me after that. Although I am not sure what the problem is because the library information mentions it is for R (≥ 3.3.1)
I also had to upgrade to the most recent version of R.
Specifically, on Ubuntu 16.04 here are instructions to get the up to date R version.