I am trying to install RCurl on OS X 10.12.6 but get the following error:
Error: package or namespace load failed for ‘RCurl’ in dyn.load(file, DLLpath = DLLpath, ...):
unable to load shared object '/Users/nick/Library/R/3.4/library/RCurl/libs/RCurl.so':
dlopen(/Users/nick/Library/R/3.4/library/RCurl/libs/RCurl.so, 6): Library not loaded: #rpath/libcurl.4.dylib
Referenced from: /Users/nick/Library/R/3.4/library/RCurl/libs/RCurl.so
Reason: image not found
Error: loading failed
Execution halted
ERROR: loading failed
* removing ‘/Users/nick/Library/R/3.4/library/RCurl’
The downloaded source packages are in
‘/private/var/folders/hx/9xx9fwq91t95k45dzlmzxfy40000gp/T/Rtmp14zSi1/downloaded_packages’
Warning message:
In install.packages("RCurl") :
installation of package ‘RCurl’ had non-zero exit status
This error has been discussed a bit already, but the solutions are all specific to linux and I don't think they are relevant to OS X. I did try installing the homebrew version of curl but that didn't help.
Any ideas? I think that more debugging information would be helpful, but I'm not sure what else to provide.
Thanks in advance!
Nick
If someone face the same problem in Ubuntu just as I do, the solution is run first in terminal:
sudo apt-get install libcurl4-gnutls-dev
Then in R:
install.packages('RCurl')
Looks like it's expecting libcurl.4.dylib in your #rpath.
I think others have encountered the same issue so the solution should be in here somewhere:
brew unlink R solution
Install curl again
In case it is useful for anyone else with this issue, I solved it without having to install the cran binary of R. (I use the homebrew version because it allows you to use faster BLAS options that take advantage of parallelism). Steps were:
Make sure that R doesn't find the homebrew or anaconda versions of curl-config (this will only affect the current R session)
PATH=/usr/bin/:$PATH
Download and install latest version of RCurl from http://www.omegahat.net/RCurl/ (replace <RCURLVERSION> with the current latest version)
wget http://www.omegahat.net/RCurl/RCurl_<RCURLVERSION>.tar.gz
R CMD INSTALL RCurl_<RCURLVERSION>.tar.gz
Related
I am trying to install the forecast package which depends on uroot, which apparently have been written to require a GPU?
install.packages("uroot") yields the following error. Has anyone found this issue and may suggest a work around? I am using ubuntu 16.04.
I have the file in question located here: /usr/local/cuda-8.0/ and I added to my path export PATH=/usr/local/cuda-8.0/:$PATH
Error in dyn.load(file, DLLpath = DLLpath, ...) :
unable to load shared object '/home/rstudio2/R/x86_64-pc-linux-gnu-library/3.2/uroot/libs/uroot.so':
libcudart.so.8.0: cannot open shared object file: No such file or directory
Error: loading failed
Execution halted
ERROR: loading failed
* removing ‘/home/rstudio2/R/x86_64-pc-linux-gnu-library/3.2/uroot’
Warning in install.packages :
installation of package ‘uroot’ had non-zero exit status
Just in case this is useful for someone, I stumbled with the same problem trying to install "imputeTS" with R version 3.5.1 on Fedora 27 with CUDA 10.0 correctly installed an setted in PATH.
for me it just happened that I was running install.package("imputeTS") (which depends on forecast) in a R console as root, installing the packages to the user home solved the problem. It's seems that the libraries are searched in different places according to the user running the script, it's important to note that.
I just migrated to Linux. On an Ubuntu 18.04 setup, using install.packages with dependencies set to TRUE succeeded with no complaints. (No GPU on mu box.)
install.packages("forecast", dep=TRUE)
# there are quite a few dependencies and you happened to be missing one
packageDescription()
#-----------includes this line----------
Imports: colorspace, fracdiff, ggplot2 (>= 2.2.1), graphics, lmtest,
magrittr, nnet, parallel, Rcpp (>= 0.11.0), stats,
timeDate, tseries, urca, uroot, zoo
You can try to modify file "/etc/rstudio/rserver.conf", add "LD_LIBRARY_PATH" env, like:
rsession-ld-library-path=/usr/local/cuda/lib64
Actually, When you open session of "RStudio Server" from browser, the session does't get env from the ".bashrc".
I run RStudio Server on ubuntu 14.04. When trying to install the rgdal package I get the following error message:
Error in dyn.load(file, DLLpath = DLLpath, ...) :
unable to load shared object '/home/admin2/R/x86_64-pc-linux-gnu- library/2.14/rgdal/libs/rgdal.so':
libnetcdf.so.6: cannot open shared object file: No such file or directory
Error: loading failed
Execution halted
I upgraded RStudio Server, R-Core and all Ubuntu packages to their latest versions but no success. I also tried apt-get install lib32stdc++6 as suggested here, but also no changes. I think it is a problem specific to GDAL and the indexing of shared libraries in unix. Can anyone help please?
Ok I got it done removing Gdal completly, compiling it from source again and setting library paths correctly as described here. Later adding /usr/local/lib/ to /etc/ld.so.conf and run sudo ldconfig as described here.
I am using Anaconda to manage my R-installation. It works great for packages available in the R-channels provided by Anaconda, but I am having troubles installing packages not contained in the Anaconda repos.
I have tried a few different approaches, all listed below together with their error output.
1. install.packages('rafalib')
Suggested to work here conda - How to install R packages that are not available in "R-essentials"?. My .libPaths() points to '/home/user/anaconda2/lib/R/library'.
Out:
--- Please select a CRAN mirror for use in this session ---
Error in download.file(url, destfile = f, quiet = TRUE) :
unsupported URL scheme
Error: .onLoad failed in loadNamespace() for 'tcltk', details:
call: fun(libname, pkgname)
error: Can't find a usable init.tcl in the following directories:
/opt/anaconda1anaconda2anaconda3/lib/tcl8.5 ./lib/tcl8.5 ./lib/tcl8.5 ./library ./library ./tcl8.5.18/library ./tcl8.5.18/library
This probably means that Tcl wasn't installed properly.
I installed tcl from the conda channel r-old, but install.packages() still threw the same error message.
2. options(menu.graphics=FALSE) and then install.packages('rafalib')
I got a list of mirrors and chose one.
Out:
Selection: 15
trying URL 'http://cran.utstat.utoronto.ca/src/contrib/rafalib_1.0.0.tar.gz'
Content type 'application/x-gzip' length 11798 bytes (11 KB)
==================================================
downloaded 11 KB
sh: symbol lookup error: sh: undefined symbol: rl_signal_event_hook
The downloaded source packages are in
‘/tmp/Rtmphwpta0/downloaded_packages’
Warning message:
In install.packages("rafalib") :
installation of package ‘rafalib’ had non-zero exit status
Both 2 and 3 are from Disable/suppress tcltk popup for CRAN mirror selection in R
3. Setting the mirror in ~/.Rprofile
Before trying install.packages(), I added the following to my ~/.Rprofile.
## Default repo
local({r <- getOption("repos");
r["CRAN"] <- "http://cran.us.r-project.org";
options(repos=r)})
Out:
trying URL 'http://cran.us.r-project.org/src/contrib/rafalib_1.0.0.tar.gz'
Content type 'application/x-gzip' length 11798 bytes (11 KB)
==================================================
downloaded 11 KB
sh: symbol lookup error: sh: undefined symbol: rl_signal_event_hook
The downloaded source packages are in
‘/tmp/RtmppIz9rT/downloaded_packages’
Warning message:
In install.packages("rafalib") :
installation of package ‘rafalib’ had non-zero exit status
4. Setting the download method to 'curl' or 'wget'.
While keeping the new ~/.Rprofile configuration. I guess this wasn't necessary since the package seems to be downloading fine now, but I tested it just in case.
Out:
sh: symbol lookup error: sh: undefined symbol: rl_signal_event_hook
Warning in download.packages(pkgs, destdir = tmpd, available = available, :
download of package ‘rafalib’ failed
Warning message:
In download.file(url, destfile, method, mode = "wb", ...) :
download had nonzero exit status
5. Manual download of rafalib
install.packages('../Downloads/rafalib_1.0.0.tar.gz', repos=NULL, type='source')
Out:
sh: symbol lookup error: sh: undefined symbol: rl_signal_event_hook
Warning message:
In install.packages("../Downloads/rafalib_1.0.0.tar.gz", repos = NULL, :
installation of package ‘../Downloads/rafalib_1.0.0.tar.gz’ had non-zero exit status
6. Building a conda package from rafalib
I opened a separate issue for this Errors building R-packages for conda. In short, it complains about missing dependencies that I already have installed. Update I got a round the dependency problem and I am now stuck at the same rl_signal_event_hook-error as for my other approaches.
7. sudo ln /usr/lib/libncursesw.so.6 /usr/lib/libncursesw.so.5
As per https://github.com/conda/conda/issues/1679, but it didn't fix the issue for me.
So it seems like I can now download the package fine, but installing it fails. I have seen the error message sh: symbol lookup error: sh: undefined symbol: rl_signal_event_hook previously when using R with irkernel in the Jupyter Notebook, but it has never obstructed my work. I have never seen anything relating to that error message when running python through anaconda.
I'm out of ideas. Does anyone know how I can install R-packages not provided by anaconda, such as rafalib or swirl?
I am on Linux (Antergos, an Arch derivative) with kernel 4.4.5-1-ARCH.
UPDATE 2016/04/15
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.
Detailed post on managing packages that are and are not in Anaconda R: http://ihrke.github.io/conda.html
Essentially is using commands:
conda skeleton cran <package_name>
conda build <package_name>
If the package has dependencies that are also not in Anaconda:
conda skeleton cran <dependency1>
conda skeleton cran <dependency2>
conda build <package_name>
Essentially I would agree with this post in saying that I don't understand how install.packages() works with Anaconda. What I seem to see is that Anaconda creates a R environment where all the packages installed from install.packages() are kept.
Whenever I am working in Jupyter with R, I use this environment and am able to access all the packages that I have installed with install.packages()
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.
When i tried to install nloptr_1.0.4.tar.gz from local, It needed another unix library nlopt-2.4.2.tar.gz which I got it resolved from the following thread Error while installing a tar.gz package in R
But, even after that the package is not getting installed
It throws the following error,
Error in dyn.load(file, DLLpath = DLLpath, ...) :
unable to load shared object '/home/cloudera/R/x86_64-redhat-linux-gnu-library/3.2/nloptr/libs/nloptr.so':
/home/cloudera/R/x86_64-redhat-linux-gnu-library/3.2/nloptr/libs/nloptr.so: undefined symbol: nlopt_set_maxtime
Error: loading failed
Execution halted
ERROR: loading failed
* removing ‘/home/cloudera/R/x86_64-redhat-linux-gnu-library/3.2/nloptr’
For the above error, I got a lead from the following link:https://cran.r-project.org/web/packages/ROracle/INSTALL
and http://ab-initio.mit.edu/wiki/index.php/NLopt_Installation
Based on the above links, I had to set LD_LIBRARY_PATH variable to /usr/local/lib and /usr/local/include
Even after setting the above Environment variable, R CMD INSTALL nloptr_1.0.4.tar.gz is not getting installed and throwing the same error.
The fix is easy. On a Debian/Ubuntu system do
sudo apt-get install libnlopt-dev
as you always need the development package to compile a given library. It will then be found, and nloptr will install without a hitch.
Similarly on a RH/FC/CentOS with rpms.
Now, when I helped Jelmer rewrite the configuration for nloptr, we did make sure it worked both ways: with an install nlopt library, and without. You seem to stuck in the middle with one that is installed, but different ("missing symbol"). If you cannot uninstall that 'wrong' libnlopt, I would recommend altering the nloptr sources to not check for it but rather always build itself against a copy of nlopt 2.4.2 which it will download and compile statically.
Sorry to be back so soon with a simple installation question, but my inability to solve it myself is seriously impairing my productivity. Anyway, I tried installing GenomicFeatures as suggested by the BC website.
> source("http://bioconductor.org/biocLite.R")
> biocLite("GenomicFeatures")
I received the following error messages (in addition to several warning messages)
ERROR: configuration failed for package ‘RCurl’
* removing ‘/home/tim/R/i686-pc-linux-gnu-library/2.15/RCurl’
ERROR: dependencies ‘XML’, ‘RCurl’ are not available for package ‘rtracklayer’
* removing ‘/home/tim/R/i686-pc-linux-gnu-library/2.15/rtracklayer’
ERROR: dependencies ‘XML’, ‘RCurl’ are not available for package ‘biomaRt’
* removing ‘/home/tim/R/i686-pc-linux-gnu-library/2.15/biomaRt’
ERROR: dependencies ‘rtracklayer’, ‘biomaRt’, ‘RCurl’ are not available for package ‘GenomicFeatures’
* removing ‘/home/tim/R/i686-pc-linux-gnu-library/2.15/GenomicFeatures’
So some problem with the dependencies I guess, but it seems strange that they would be automatically installed prior to GF. I am using version 2.15.0. Any clue as to what the problem might be? I'd be happy to provide more info as needed. Thanks.
Martin Morgan has a solution that I believe works in the comments. I'll elaborate on that a little bit.
The error messages are telling you that you need the RCurl and XML packages installed. Both of these packages require that your system has certain development packages on them. You appear to be running Linux. If you're using a Debian based system (Debian, Ubuntu, Mint, ...) then for RCurl to install you need to install libcurl4-openssl-dev and for XML to install you need to install libxml2-dev. You can accomplish this by relatively easily on the command line by typing
sudo apt-get install libcurl4-openssl-dev libxml2-dev
That should install the required packages and any dependencies. Then you should be able to install the RCurl and XML packages from within R.
install.packages("RCurl")
install.packages("XML")
At this point you have the required dependencies and should be able to install GenomicFeatures from Bioconductor.
source("http://bioconductor.org/biocLite.R")
biocLite("GenomicFeatures")
Just a note for those using Windows - getting RCurl and XML isn't necessarily easy, however, Dr. Brian Ripley provides binaries for these packages at his website and you can download them from there quite easily. Initially when I saw there was issues with RCurl and XML I thought it must be a windows user until I looked at the actual errors and realized it was a Linux user.