I am having the same problem as this and this.
I have installed R and rstudio through a conda environment which included r-rgl. I am now trying to install a package within R that requires rgl. However, calling library(rgl) gives the error
Error: package or namespace load failed for ‘rgl’:
package ‘rgl’ was installed by an R version with different internals; it needs to be reinstalled for use with this R version
I have tried to install rgl from within R, but then I get this message:
checking for X... no
configure: error: X11 not found but required, configure aborted.
ERROR: configuration failed for package ‘rgl’
* removing ‘/path/to/miniconda3/envs/my_conda_env/lib/R/library/rgl’
* restoring previous ‘/path/to/miniconda3/envs/my_conda_env/lib/R/library/rgl’
Warning in install.packages :
installation of package ‘rgl’ had non-zero exit status
The downloaded source packages are in
‘/private/var/folders/vh/.../downloaded_packages’
Updating HTML index of packages in '.Library'
Making 'packages.html' ... done
The solution to the last error seems to be installing XQuartz in Mac, but I had it installed before. So I tried specifying install.packages("rgl", INSTALL_opts = "--with-libpng-prefix=/usr/X11/") but I still get the error above. Any suggestions? I'm quite lost now...
TL;DR: how do I connect my XQuartz installation with each conda environment that I create?
I'm currently operating in macOS with the R version of 3.6.3.
When I tried to install the package ggm, a warning occurred as follows.
Warning in install.packages :
dependency ‘graph’ is not available
also installing the dependency ‘igraph’
Then when it completed installing, it seemed not to work either:
ERROR: compilation failed for package ‘igraph’
* removing ‘/usr/local/lib/R/3.6/site-library/igraph’
ERROR: dependencies ‘igraph’, ‘graph’ are not available for package ‘ggm’
* removing ‘/usr/local/lib/R/3.6/site-library/ggm’
What is happening? I have searched for this error and didn't find anything that helps. Please help me. I'll be much appreciated!
I had the same problem.
To install the package graph you need to install the latest version of Bioconductor (i.e. package called BioManager).
Then you install the package graph and then simply run the installation for the ggm package.
install.packages("BiocManager")
BiocManager::install("graph")
install.packages("ggm")
library(ggm)
The package is then loaded into your R enviroment.
I have been trying over the weekend to install mosaic, car and some other packages on an R kernel (3.4.2) in Jupyter Notebook running Ubuntu 16.04. I have tried install.packages('car', '/home/jayaramdas/anaconda3/lib/R/library/', repos='http://cran.us.r-project.org'): it returns:
also installing the dependency ‘pbkrtest’
Warning message in install.packages("car", "/home/jayaramdas/anaconda3/lib/R/library/", :
“installation of package ‘pbkrtest’ had non-zero exit status”Warning message in install.packages("car", "/home/jayaramdas/anaconda3/lib/R/library/", :
“installation of package ‘car’ had non-zero exit status”
I've tried installing it in the original R package and I get this:
Warning messages:
1: In install.packages("car", "/home/jayaramdas/anaconda3/lib/R/library/", :
installation of package ‘pbkrtest’ had non-zero exit status
2: In install.packages("car", "/home/jayaramdas/anaconda3/lib/R/library/", :
installation of package ‘car’ had non-zero exit status
I tried using Rstudio to install it, but it won't let me write the file. I also tried downloading the zip file for Ubuntu and it still gave the 'non-zero exiterror. Is this a usual problem that people have withcar` and other R packages? I am just trying to figure how to add some packages to my jupyter notebook.
You are on Ubuntu. You want to use a package manager (conda).
May I suggest you use the native one?
sudo apt-get install r-cran-car
will install car and all its dependencies. If not, file an Ubuntu bug report.
Similarly, you can get many more packages from Ubuntu: apt-cache search 'r-cran-*'. And once you consider the Rutter PPAs you have a large part of CRAN prebuilt.
I'm having some trouble installing the R package "slam" on my machine. I'm running a Macbook Pro OS 10.8.3 with R Version 3.2.1.
In order to get RTextTools package to work, I require a slam package of version 0.1-30 and above. I've read the documentation and it states that slam v0.1-30 and above (with the exception of 0.1-38) can run on any R version above 2.8.0.
This doesn't seem to be the case however. I've tried everything from 0.1-31 to 0.1-37 and the installation keeps failing with the following message:
ERROR: compilation failed for package ‘slam’
* removing ‘/Library/Frameworks/R.framework/Versions/3.2/Resources/library/slam’
* restoring previous ‘/Library/Frameworks/R.framework/Versions/3.2/Resources/library/slam’
Warning in install.packages :
installation of package ‘/Users/(user)/Downloads/slam_0.1-34.tar.gz’ had non-zero exit status
Can anybody help me please? Is there a way to solve this problem (either install RTextTools or install slam) without upgrading my machine's OS?
On one computer running R 2.15.2 I have installed packages from a .zip file (these packages happened to be ggplot2 and data.table, but I don't think the specific package is my issue.) Everything works fine. I took these packages to a computer without an internet connection and installed them. This other computer is running R 3.0.1. The packages seemed to install without a problem (using R's "install package(s) from local zip file" option). When I call the packages with the library(), I get the following error:
Error: package '<insert name of newly installed package here>' was build before 3.0.0: please-re-install it
Can anyone explain potential causes for this error to be thrown? Are there particular directories that the .zip packages must be in for a proper install? If R is installed on a separate partition from where the .zip packages were loaded, could this cause the error?
I'm at a loss, any pointers are greatly appreciated. This is a difficult one to reproduce; if you need any other version/system parameters to understand the problem, please don't hesitate to ask.
I found this solution while look at GitHub ggplot2 issue #796
update.packages(checkBuilt = TRUE, ask = FALSE)
It will update all the packages that need to be reinstalled.
Running install.packages("codetools") can fix this issue for R 3.0.2, if you have the same problem like me:
installing to /home/user/R/x86_64-pc-linux-gnu-library/3.0/Rcpp/libs
** R
** inst
** preparing package for lazy loading
Error : package ‘**codetools**’ was built before R 3.0.0: please re-install it
Error : unable to load R code in package ‘Rcpp’
ERROR: lazy loading failed for package ‘Rcpp’
I installed shiny according https://github.com/rstudio/shiny-server/wiki/Ubuntu-step-by-step-install-instructions
and got the same error at the step
sudo su - -c "R -e \"install.packages('shiny', repos='http://cran.rstudio.com/')\""
Warning messages:
1: In install.packages("shiny", repos = "http://cran.rstudio.com/") :
installation of package ‘Rcpp’ had non-zero exit status
2: In install.packages("shiny", repos = "http://cran.rstudio.com/") :
installation of package ‘httpuv’ had non-zero exit status
3: In install.packages("shiny", repos = "http://cran.rstudio.com/") :
installation of package ‘shiny’ had non-zero exit status
I tried the answer by Richard Lee by starting R
R
and got the error
Warning in install.packages("shiny") :
'lib = "/usr/local/lib/R/site-library"' is not writable
Would you like to use a personal library instead? (y/n) n
Error in install.packages("shiny") : unable to install packages
obviously no write permission, so
sudo R
Now I tried again
install.packages("shiny")
and got a number of errors
Error : package ‘codetools’ was built before R 3.0.0: please re-install it
Error : package ‘RJSONIO’ was built before R 3.0.0: please re-install it
Error : package ‘caTools’ was built before R 3.0.0: please re-install it
Error : package ‘bitops’ was built before R 3.0.0: please re-install it
Error : package ‘digest’ was built before R 3.0.0: please re-install it
Error : package ‘xtable’ was built before R 3.0.0: please re-install it
Each time I got an error, I re-installed the requested package
install.packages("codetools")
install.packages("RJSONIO")
etc.
and eventually, I was able to install Rccp, httpuv, and even shiny.
Now it works!!
Also see
Shiny package installation on R version 3.0.2 "Frisbee Sailing"
I am using rkward on precise
I had a similar error using rkward. Specifically this one:
'lib = "/usr/local/lib/R/site-library"' is not writable
I temporarily changed the permissions for this directory so that rkward could run this from its console:
update.packages(checkBuilt = TRUE, ask = FALSE)
all to fix this:
Error: package '' was build before 3.0.0: please-re-install it
so that (sigh...) I could fix 'default' configuration for audio on precise. I couldn't use play() etc. in rkward.
That just needed phonon-backend-gtstreamer
I tried to install swirl on R(v3.1.0) on ubuntu 12.04LTS:
sudo R
install.packages("swirl")
But faced a similar error:
Error : package ‘codetools’ was built before R 3.0.0: please re-install it
Error : unable to load R code in package ‘httr’
ERROR: lazy loading failed for package ‘httr’
* removing ‘/usr/local/lib/R/site-library/httr’
ERROR: dependencies ‘testthat’, ‘httr’ are not available for package ‘swirl’
* removing ‘/usr/local/lib/R/site-library/swirl’
Doing following helped me:
install.packages('codetools')
install.packages("swirl")
library("swirl")
swirl()
| Welcome to swirl! Please sign in. If you've been here before, use the same
| name as you did then. If you are new, call yourself something unique.
What shall I call you?
I hope the same may help fix your installation issue.
Here is the work-around that I used:
I installed the latest version of R on an internet-capable computer. I then loaded the my required packages (Packages->install packages->select mirror->select package...
After R is finished installing, it displays a message of where the temporary .zip package is located. I navigated to this location, grabbed the temp package, and burnt it to a cd.
In this way, I could get the newer package build onto a computer without internet access. I would still be interested to know if there is an easy way to rebuild a package downloaded on an early R version to make it compatible with the latest version (without needed an internet connection).
Thanks for pointing me in the right direction #JoshuaUlrich