I have been trying to install R packages directly from the terminal but I am struggling much more than setting up the libraries I want in Windows. Sometimes it works if I install every single dependency for more complex packages by downloading them from CRAN and placing them in the R folder.
I appreciate this is not efficient but the recurrent error if I run R within the terminal while installing some of the packages is the following:
** libs
Error in if (nzchar(SHLIB_LIBADD)) SHLIB_LIBADD else character() :
argument is of length zero
* removing ‘/anaconda3/lib/R/library/<package name>’
[...]
In install.packages("<package name>") :
installation of package ‘fpc’ had non-zero exit status
I have been looking across many forums but the only solution I found so far is to install single dependencies manually by downloading them and dropping them in the master R folder. It is taking way longer than expected.
Any suggestion will be appreciated. Thanks
in my case (centos 7):
/home/xilab/miniconda3/lib/R/etc/Makeconf is a empty file!
find ~ -name Makeconf
/home/xilab/miniconda3/pkgs/r-base-3.6.1-hce969dd_0/lib/R/etc/Makeconf
/home/xilab/miniconda3/pkgs/r-base-3.6.1-h8900bf8_2/lib/R/etc/Makeconf
/home/xilab/miniconda3/envs/python2.7/lib/R/etc/Makeconf
/home/xilab/miniconda3/lib/R/etc/Makeconf
/home/xilab/miniconda3/pkgs/r-base-3.6.1-hce969dd_0/lib/R/etc/Makeconf is not empty,so:
mv /home/xilab/miniconda3/lib/R/etc/Makeconf /home/xilab/miniconda3/lib/R/etc/Makeconf.backup
cp /home/xilab/miniconda3/pkgs/r-base-3.6.1-hce969dd_0/lib/R/etc/Makeconf /home/xilab/miniconda3/lib/R/etc/Makeconf
problem solved!
I have seen this problem in conda version of R where /yours/anaconda/environment/lib/R/etc/ has a file Makeconf.mro.original together with an empty Makeconf file. This should not be intended.
During installation of some packages R checks what is within this Makeconf file, one such check is for SHLIB_LIBADD.
I just backed up the empty (or whatever) Makeconf file. Then copied Makeconf.mro.original to Makeconf.
This solved my case.
EDIT:
Recently I saw in centos-machine that Makeconf.mro.original file is not made after install.packages("name of library") failed. There is no easy solution for this.
In my case R installation was inside a conda environment. So, I created a new conda environment with R installation. The fresh installation has a Makeconf file in etc directory. So, I copied the Makeconf file from fresh R to my previously working R's etc directory.
It may be better to keep a backup copy of Makeconf from etc to a Makeconf.bak for future problems, in your working R etc directory.
I hope this helps for some cases.
I had this problem when trying to run install.packages("RPostgres") in a conda-installed version of R . The solution was to use conda as the package manager instead of R's install.packages function. That meant running these commands at a normal system command prompt (not in R):
conda search -c conda-forge RPostgres
# shows various versions of r-rpostgres
conda install -c conda-forge r-rpostgres
Related
Conda was used to install R in my centos 7 sysytem. conda install r
the version of installed r is r-3.4.1.
However, when I use r, there have a error output. "/usr/local/bin/miniconda3/lib64/R/bin/exec/R: error while loading shared libraries: libtinfow.so.6: cannot open shared object file: No such file or directory"
Some tests have been used according to search by google use the keyword "libtinfow.so.6".
Only two information can be found. They have no help to me.
enter image description here
I had the same problem on a recent centos installation. But I think this has nothing to do with centos, but rather to misconfiguration related to different R packages version. To solve the problem, I just uninstall all the R related packages and gxx and gcc packages using "conda uninstall ". Than I installed R using "conda install -c r r", which force to install gcc and gxx within the same process.
I am trying to run R code in Jupyter and the R Kernel was added. Most of the time, packages can be installed successfully. However, some of the packages, such as RCurl and ggmap, would got error while installing.
Example:
install.packages("RCurl")
Warning message in install.packages("RCurl"):
“installation of package ‘RCurl’ had non-zero exit status”Updating HTML index of packages in '.Library'
Making 'packages.html' ... done
What should I do?
Try to specify CRAN as repository in your install.packages statement when installing RCurl and ggmap. For example:
install.packages("RCurl", repos='http://cran.us.r-project.org')
This Stack Overflow post on installing R packages through Anaconda/Jupyter beyond those included in R essential provides more detail.
(Side note: I had encountered the same issue when trying to install R packages on computer clusters. This solution worked for me.)
use conda comment:
conda install r-RCurl
I kept getting the non-zero exit status when trying to install packages with Jupyter notebook with R kernel and was failing because of multiple dependencies when wanting to install a package. I am not an expert in any of these so please forgive me if I make an error in explaining or if it is a non-issue for you but please feel free to comment to clear things out. I just want to share my success story so hopefully it can help someone else: I am working on a MacBook Pro. Here are the information I get when I run R.version() on my jupyter notebook with R kernel:
$platform 'x86_64-conda_cos6-linux-gnu'
$arch 'x86_64'
$os 'linux-gnu'
$system 'x86_64, linux-gnu'
$language 'R'
$version.string 'R version 3.6.1 (2019-07-05)'
These are the steps to take to fix the issue:
Go to https://anaconda.org/
Search the package name that you are trying to install
Copy the one line that is given to install the package, it should be something like:
Conda install -c r r-caret #conda install -c r r-package_name
NOTE: sometimes during installing packages, you’re asked whether or not you want to continue, so add --y at the end of the above statement to continue, so something like this
Conda install -c r r-caret --y
(I will always add it just to be on the safe side)
Click on the new launcher (+ icon) to create a new notebook with PySpark (once opened it has .ipynp extension)
On the first cell paste the copied line from step 2 and run
Once done, restart the kernel on the current notebook
Restart the kernel on your other notebook with R kernel
Run library(package_name) on your notebook with R kernel (e.x. library(caret))
install.packages("Hmisc", .libPaths(), repos='http://cran.us.r-project.org')
This command will install the packagae in the conda
"/home/user/anaconda3/lib/R/library" and use the cran r repository as source.
Add path in Anaconda
As per this answer,
one can also add additional paths in anaconda to load libraries from (for eg., the location where R studio saves the user-installed packages) with
.libPaths( c( .libPaths(), "~/userLibrary") )
For example, the following worked for me:
In Anaconda :
.libPaths( c( .libPaths(), "C:\Users\name\Documents\R\win-library\3.5") )
When I tried to add anaconda's library path to RStudio, it resulted in errors (The procedure entry point MARK_NOT_MUTABLE could not be located in the dynamic link library << arose 4 times in succession) after installation of a package, though the package seemed to load.
Replace name with your local user folder name
Add/change path in RStudio
A useful link to make changes in default user-installed library paths :
https://www.accelebrate.com/library/how-to-articles/r-rstudio-library
To find out where a package has been installed:
find.package('package_name')
The directions nobody else supplied worked for me, but I found this guide, and it worked. Spent way too much time trying all these when I just needed a few simple commands. https://developers.refinitiv.com/en/article-catalog/article/setup-jupyter-notebook-r
I already had R and python installed, so I skipped to step 3. The only seems to mention windows, but it worked for me on mac as well. After following them I was able to install the packages using install.packages("dplyr", repos = "http://cran.us.r-project.org") in a cell in jupyter.
You have to create a directory in which your package will be and do for eg:
install.packages('ggplot2',loc='your directory')
First Step: You can install the IRkernel packages by running the following command in an R console:install.packages('IRkernel')
Second Step: You will have to make Jupyter see the newly installed R kernel by installing a kernel spec. To install system-wide, set user to False in the installspec command IRkernel::installspec(user = FALSE)
Setup Jupyter Notebook for R
I am having a tough time installing R-packages that are not available in the Anaconda repositories. My attempts so far can be found here How to install R-packages not in the conda repositories?.
Currently, I am trying to build the R-package rafalib for conda by following the instructions from this article under the heading Building a conda R package.
The first part works fine.
conda skeleton cran rafalib
Out:
Tip: install CacheControl to cache the CRAN metadata
Fetching metadata from http://cran.r-project.org/
Writing recipe for rafalib
Done
The build command runs into errors
conda build r-rafalib
Out:
Removing old build environment
Removing old work directory
BUILD START: r-rafalib-1.0.0-r3.2.2_0
Using Anaconda Cloud api site https://api.anaconda.org
Fetching package metadata: ......
Solving package specifications: .
Error: Packages missing in current linux-64 channels:
- r 3.2.2*
- r-rcolorbrewer
I have r 3.2.2-64bit installed via conda and it runs without problems. I also already have r-colorbrewer installed via conda and I can use that package without issues in R. Why am I getting these errors when trying to build a conda package?
I am on Linux (Antergos, an Arch derivative) with kernel 4.4.5-1-ARCH.
UPDATE 2015/04/19
Thanks to this answer, I found out that I could include the dependencies by building them separately in the same directory as the package I want to install. That didn't work for me, but I also read that I can include a channel in the build command with -c, just as when installing. So now I do:
conda build -c r r-rafalib
This gets passed all the dependency problems, but after fetching, extracting and linking packages, it fails. Here is the end of the error message.
Removing old work directory
Source cache directory is: /home/joel/anaconda2/conda-bld/src_cache
Downloading source to cache: rafalib_1.0.0.tar.gz
Downloading http://cran.r-project.org/src/contrib/rafalib_1.0.0.tar.gz
rafalib_1.0.0. 100% |#######################| Time: 0:00:00 4.87 MB/s
Success
Extracting download
Package: r-rafalib-1.0.0-r3.2.2_0
source tree in: /home/joel/anaconda2/conda-bld/work/rafalib
+ mv DESCRIPTION DESCRIPTION.old
+ grep -v '^Priority: ' DESCRIPTION.old
+ /home/joel/anaconda2/envs/_build/bin/R CMD INSTALL --build .
sh: symbol lookup error: sh: undefined symbol: rl_signal_event_hook
Command failed: /bin/bash -x -e /home/joel/drafts/r-rafalib/build.sh
The error sh: symbol lookup error: sh: undefined symbol: rl_signal_event_hook is the same as I encounter when using install.packages() as reported here.
There is some related discussion in this thread. I have tried to get around this error by installing different versions of ncurses, including this patched version, and I have tried to link the readline libraries, as suggested here, but I keep running into the same error. I'm quite lost at this point and any help to solve this would be greatly appreciated.
Although I started out with a different problem, the final solution turned out to be the same as I posted elsewhere How to install R-packages not in the conda repositories?. I am adding it here for completeness.
In the end, I got around the rl_event_hookproblems by following the approach recommended here and symlinking anaconda's libreadline to the system one:
mv ~/anaconda3/lib/libreadline.s.6.2 ~/anaconda3/lib/libreadline.s.6.2.bak
ln -s /usr/lib/libreadline.so.6.3 ~/anaconda3/lib/libreadline.s.6.2
I am still having troubles installing some dependency heavy R-packages due to failure to load shared objects when using install.packages() from withing R. However, simpler packages work fine and I can get most of the dependency heavy packages from anacondas R-repositories.
I'm pretty new to R so apologies for a stupid question. I'm trying to get rcpp running but I'm stuck in an endless loop of R asking me to re-install RTools.
I broadly followed the code in this blog post, although first time off I installed everything by hand & I've subsequently re-installed everything a few times over. I'm running Windows 7, R version 3.1.2, R Studio Version 0.98.1091 (not that this should matter much) and RTools 3.1.
An edited highlight of what my console looks like is as follows:
> library(installr)
Welcome to installr version 0.15.3...
> install.Rtools()
Loading required package: devtools
No need to install Rtools - You've got the relevant version of Rtools installed
> find_rtools()
[1] TRUE
> library(Rcpp)
> evalCpp("1+1")
Error in sourceCpp(code = code, env = env, rebuild = rebuild, showOutput = showOutput, :
Error 65535 occurred building shared library.
At which point a dialog box pops up saying:
Install Build Tools
Compiling C/C++ code for R requires installation of additional build tools.
Do you want to install the additional tools now?
And then I get directed to download and re-install RTools 3.1 from cran all over again.
I've seen that this can be an issue with the PATH variable but I've tried various things including:
Nothing (extra) in the PATH variable
Including both references to R (C:\Program Files\R\R-3.1.2\bin\x64) and RTools (C:\RBuildTools\3.1\bin;C:\RBuildTools\3.1\gcc-4.6.3\bin;) in the PATH. Once with RTools first, once with R first
Including just a reference to RTools in the PATH as the initial install file directed me to do.
Any ideas on things to try would be gratefully accepted!
EDIT
Following Dirk's comment it looks like I might have a problem with how RTools is installed. I've followed the instructions from several blogs / tutorials on how to install RTools; all to no avail (yet!)
This GitHub page gives some instructions on how install and check that the installation has worked. I've followed all the checks (see below for copy of the console) and it looks like I have a working install of RTools, but when I try to run evalCPP() again I get the same error as before directing me to install RTools.
> Sys.getenv('PATH')
[1] "C:\\Program Files\\R\\R-3.1.2\\bin\\x64;C:\\RTools\\bin;C:\\RTools\\gcc-4.6.3\\bin;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\Program Files (x86)\\Enterprise Vault\\EVClient\\;C:\\Program Files (x86)\\Microsoft SQL Server\\100\\Tools\\Binn\\VSShell\\Common7\\IDE\\;C:\\Program Files (x86)\\Microsoft SQL Server\\100\\Tools\\Binn\\;C:\\Program Files\\Microsoft SQL Server\\100\\Tools\\Binn\\;C:\\Program Files (x86)\\Microsoft SQL Server\\100\\DTS\\Binn\\;C:\\Program Files (x86)\\Microsoft Visual Studio 9.0\\Common7\\IDE\\PrivateAssemblies\\;C:\\Program Files\\Microsoft SQL Server\\110\\Tools\\Binn\\;C:\\Program Files\\Microsoft\\Web Platform Installer\\;C:\\Program Files (x86)\\Microsoft SDKs\\TypeScript\\1.0\\;C:\\Program Files\\Microsoft SQL Server\\100\\DTS\\Binn\\"
Warning message:
printing of extremely long output is truncated
> system('g++ -v')
Using built-in specs.
COLLECT_GCC=C:\RTools\GCC-46~1.3\bin\G__~1.EXE
COLLECT_LTO_WRAPPER=c:/rtools/gcc-46~1.3/bin/../libexec/gcc/i686-w64-mingw32/4.6.3/lto-wrapper.exe
Target: i686-w64-mingw32
Configured with: /data/gannet/ripley/Sources/mingw-test3/src/gcc/configure --host=i686-w64-mingw32 --build=x86_64-linux-gnu --target=i686-w64-mingw32 --with-sysroot=/data/gannet/ripley/Sources/mingw-test3/mingw32mingw32/mingw32 --prefix=/data/gannet/ripley/Sources/mingw-test3/mingw32mingw32/mingw32 --with-gmp=/data/gannet/ripley/Sources/mingw-test3/mingw32mingw32/prereq_install --with-mpfr=/data/gannet/ripley/Sources/mingw-test3/mingw32mingw32/prereq_install --with-mpc=/data/gannet/ripley/Sources/mingw-test3/mingw32mingw32/prereq_install --disable-shared --enable-static --enable-targets=all --enable-languages=c,c++,fortran --enable-libgomp --enable-sjlj-exceptions --enable-fully-dynamic-string --disable-nls --disable-werror --enable-checking=release --disable-win32-registry --disable-rpath --disable-werror CFLAGS='-O2 -mtune=core2 -fomit-frame-pointer' LDFLAGS=
Thread model: win32
gcc version 4.6.3 20111208 (prerelease) (GCC)
> system('where make')
C:\Rtools\bin\make.exe
I've also had a look at Appendix D of R Installation and Admin. I can't see anything in here I've not already tried except for section D.4 which implies I might need to rebuild rcpp from source using my installed RTools. I don't have time to do this right away but will give it a try unless people say this route is not worth my time.
EDIT v2
So I tried building rcpp from source ... and that didn't work either. I downloaded both the package source and windows binaries from the CRAN Rcpp package page. In the R console I now get:
> install.packages(pkgs = "C:/Rcpp_0.11.4.tar.gz", repos = NULL, contriburl = NULL, type = "source", verbose = TRUE)
Installing package into ‘C:/Users/james.macadie/Documents/R/win-library/3.1’
(as ‘lib’ is unspecified)
system (cmd0): C:/PROGRA~1/R/R-31~1.2/bin/x64/R CMD INSTALL
Warning in install.packages :
package ‘C:/Rcpp_0.11.4.tar.gz’ is not available (for R version 3.1.2)
I guess my active questions now boil down to:
Reading the whole of the post above can anyone tell me how to fix things so it just works? Or, failing that...
What tests can I run to check I really do have Rtools installed correctly? Everything I have found on the internet suggests I do: system('where make') etc. However, the evidence of being unable to run evalCpp or other rccp functions suggests I don't.
What am I doing wrong when building from source? Should I try the command line option?
EDIT v3
Running evalCpp with showOutput= TRUE and verbose = TRUE I think I've tracked the error back to R CMD SHLIB not working. I followed this blog, which shows how to work with the command line R directly. However when I get to the line R CMD SHLIB sequence_examples.c the execution just skips straight to the next command line without doing anything, generating any files in the directory or throwing any errors. I tried running the --help options at the command line but get the same sort of error:
C:\Users\james.macadie> R --help
Or: R CMD command args
where 'command' is one of:
INSTALL Install add-on packages
REMOVE Remove add-on packages
SHLIB Make a DLL for use with dynload
BATCH Run R in batch mode
build Build add-on packages
check Check add-on packages
Rprof Post process R profiling files
Rdconv Convert Rd format to various other formats
Rdiff difference R output files
Rd2pdf Convert Rd format to PDF
Rd2txt Convert Rd format to pretty text
Stangle Extract S/R code from vignette
Sweave Process vignette documentation
config Obtain configuration information about R
open Open a file via Windows file associations
texify Process a latex file
Use
R CMD command --help
for usage information for each command.
C:\Users\james.macadie> R CMD SHLIB --help
C:\Users\james.macadie>
N.B. for people reading the earlier code samples higher up this post I have changed a few things since those code snapshots:
I've installed R directly into C:\R. It used to be in C:\Program Files\R\ but as has been suggested file paths with spaces in can cause problems
I'm referencing Rtools under C:\Rtools\ and not C:\RBuildTools\
Thanks for any suggestions, as ever
Had the same endless loop issue when trying to install Twitter's BreakoutDetection (which is also written in cpp)
fixed by executing the following
Sys.setenv(PATH="%PATH%;C:/Rtools/gcc-4.6.3/bin;c:/Rtools/bin")
and then answering "no" when presented with the following prompt:
"Install Build Tools Compiling C/C++ code for R requires installation of additional build tools. Do you want to install the additional tools now?"
Didn't try these actions independently so not sure if either on their own would have fixed the issue
I found that ensuring all of these were in my path fixed it. I did this with RStudio closed; I didn't reboot after.
C:\Program Files\R\R-3.1.3\bin\x64
C:\Program Files\R\R-3.1.3\bin
C:\RBuildTools\3.2\bin
C:\RBuildTools\3.2\gcc-4.6.3\bin64
C:\RBuildTools\3.2\gcc-4.6.3\bin
C:\RBuildTools\3.2\gcc-4.6.3\i686-w64-mingw32\bin
These are on my Win7-64bit computer. YMMV, and I'm mostly posting this to ensure others see it if they are having the same issue.
In the end it was something a bit left-field. Inspired by the following post, I had a look at the ComSpec environment variable. Not quite sure how, but I had it set to "cmd.exe".
Removing the double quotes, so it said cmd.exe, and then rebooting fixed everything.
Thanks to all who've tried to help.
I experienced the same problem, I fixed this problem by adding Rtools dir into env variables:
Sys.setenv(BINPREF = "C:/Rtools/mingw_$(WIN)/bin/")
I'm trying to install this cnv-seq package on my R library to help copying number variation analysis. However, when I type in
install.packages("cnv-seq")
in R command, an error code pops out saying it is not available for 3.1.1 version. So I tried the old versions as well. All says not available. And I double check with the menu, Packages-> Install packages->. No cnv-seq
Ok. Then I tried to install it from a local source which is the "cnv-seq.tar.gz"
when i type in
install.packages("C:/cnv-seq.tar.gz", repos=NULL, type="source")
it still returns an error that says cannot extract package from this file.
Installation of package had non-zero exit status.
Anything went wrong or is there another I can install this package manually to my PC? After take a look at a similar question here couple years ago,
How do I install an R package from source?
I still could not fix this problem.
This is a case of RTFM ;)
You can do the whole process from within R. Below, we download the archive to the temporary directory, then extract it and finally install it.
download.file('http://tiger.dbs.nus.edu.sg/cnv-seq/cnv-seq.tar.gz',
f <- tempfile())
untar(f, exdir=tempdir())
install.packages(file.path(tempdir(), 'cnv-seq', 'cnv'), type='source', repos=NULL)
I believe you first must untar the file. I believe 7zip has this capability if you do not have access to a linux machine. The linux command would be:
tar -xvf /path/to/file/cnv-seq.tar.gz
After you do this you should be able to import the package into R.