I need to have the tar.gz build version of a package from git.
The git link would look like
devtools::install_github('repo/package#x.1.0')
Let's assume it is
devtools::install_github("tidyverse/lubridate") but instead of installing I need the actual file so I can install it in in an offline container at some point.
The package I need is not on CRAN, on git only, and I need a specific version of the release, not the latest.
I tried to run a different download.file arguments, no success.
I am using R CMD INSTALL to install libraries from a folder with .zip binaries to my rlibs directory. When I do this, many folders for each library are installed in the rlibs directory. Take for example the bit package. I have downloaded the bit_1.1-12.zip file from https://cran.r-project.org/web/packages/bit/index.html.
Now I install it by using the following command:
R CMD INSTALL --library=./r_libs ./external/bit_1.1-12.zip
This will create a file structure underneath the folder ./r_libs/bit
Now here is my question: How can I install only the essential library files that R needs to import? I believe this is the ./r_libs/bit/libs/ folder (I might be wrong). Currently there is plenty of additional folders installed, such as html, help, Meta, and more.
I have tried several options that R CMD INSTALL --help gives me. The description in https://stat.ethz.ch/R-manual/R-devel/library/utils/html/INSTALL.html tells me to install just the compiled code for another sub-architecture, use --libs-only. However,
R CMD INSTALL --libs-only --library=./r_libs ./external/bit_1.1-12.zip
gives me an error message that there is no ./r_libs/bit/lib directory. The options --no-html, --no-help seem to not do anything.
I am working on a Windows 7 machine using R add-on package installer 3.0.2.
What am I missing here?
Thank you.
This, question, is, asked, over, and, over, and, over,
on the R-sig-finance mailing list, but I do not think it has been asked on stackoverflow.
It goes like this:
Where can I obtain the latest version of package XYZ that is hosted on R-forge? I tried to install it with install.packages, but this is what happened:
> install.packages("XYZ",repos="http://r-forge.r-project.org")
Warning message: package ‘XYZ’ is not available (for R version 2.15.0)
Looking on the R-forge website for XYZ, I see that the package failed to build.
Therefore, there is no link to download the source. Is there any other way
to get the source code? Once I get the source code, how can I turn that into a
package that I can load with library("XYZ")?
R-Forge may fail to build a package for a few different reasons. It could be that
the documentation has not been updated to reflect recent changes in the code. Or,
it could be that some of the dependencies were not available at build time.
You can checkout the source code using svn. First, search for the project on the
R-Forge website and go to the project home page -- for example http://r-forge.r-project.org/projects/returnanalytics/
Click the SCM link to get to a page like this http://r-forge.r-project.org/scm/?group_id=579
This page will tell you the command to use to checkout the project. In this case you get
This project's SVN repository can be checked out through anonymous access with the following command(s).
svn checkout svn://svn.r-forge.r-project.org/svnroot/returnanalytics/
If you are on Windows, you probably want to download and install TortoiseSVN
Once you have installed TortoiseSVN, you can right click in a Windows Explorer window and select
"SVN checkout". In the "URL of repository:" field, enter everything except the
"svn checkout " part of the command that you found on R-Forge. In this case, you'd
enter "svn://svn.r-forge.r-project.org/svnroot/returnanalytics/".
When you click OK, the project will be downloaded into the current directory.
If you are on a UNIX-alike system (or if you installed the command line client tools
when you installed TortoiseSVN for Windows, which is not the default), you can
type the command that R-forge gave you in your terminal (System terminal, not the R terminal)
svn checkout svn://svn.r-forge.r-project.org/svnroot/returnanalytics/
That will create a new directory under the current working directory that
contains all of the files in the package. In the top level of that directory
will be a subdirectory called "pkg". This particular project (returnanalytics)
contains more than one package.
ls returnanalytics/pkg
#FactorAnalytics MPO PApages PerformanceAnalytics PortfolioAnalytics
But some R-forge projects only have a single package. e.g.
svn checkout svn://svn.r-forge.r-project.org/svnroot/random/
#Checked out revision 14.
ls random/pkg
#DESCRIPTION inst man NAMESPACE R
Now that you have a local copy all of the code, if you would like to be able to
install the package, you have to build it first.
A WORD OF CAUTION: Since R-Forge failed to build the package, there is a good chance
that there are problems with the package. Therefore, if you just build it, you may find
that some things do not work as expected. In particular, it is likely that there
is missing or incomplete documentation.
If you are on a UNIX-alike system, the package can be built and installed relatively easily. For a multi-package project like returnanalytics, if you want to install, e.g. the
PortfolioAnalytics package, you can do it like this
R --vanilla CMD INSTALL --build returnanalytics/pkg/PortfolioAnalytics
"PortfolioAnalytics" is the name of the directory that contains the package that
you want to build/install. For a single-package project, you can build and install like
this
R --vanilla CMD INSTALL --build random/pkg
If you would like to build/install a package on Windows, see this question and follow the two links that #JoshuaUlrich provided
More information can be found in R Installation and Administration, the R-Forge User Manual, and the SVN manual.
If (and only if) you have the appropriate toolchain for your OS, then this may succeed:
# First download source file to your working directory
# As an example use browser to download pkg:partykit from:
# http://download.r-forge.r-project.org/src/contrib/partykit_1.1-2.tar.gz
# Move to working directory
# Or in the case of returnanalytics (which is a bundle of packages):
# http://r-forge.r-project.org/R/?group_id=579 and download the tar.gz (source)
# Then in R:
install.packages( "partykit_1.1-2.tar.gz", repo=NULL, type="source")
# for the first of the ReturnAnalytics packages:
install.packages( "Dowd_0.11.tar.gz", repo=NULL, type="source")
These direction should be "cross-platform". I'm not sure the directions in the accepted answer are applicable to Macs (OSX). (I later confirmed that they do "work" on a Mac but found the process more involved that what I suggested above. They do result in a directory that do contain the packages in a form that should succeed with R --vanilla CMD INSTALL --build pathToEachPackageSeparately)
It is also possible that the current version of the package you are trying to install requires a newer version of R, for example, you may see error like:
"ERROR: this R is version 2.15.0, package 'PerformanceAnalytics' requires R >= 3.0.0"
then you can try to update your R
or, if you are facing the same situation with me, which is trying to use pqR (currently using R version 2.15), you can find the out-of-date achieved package here:
http://cran.at.r-project.org/src/contrib/Archive/PerformanceAnalytics/
You can get here from R-Forge packages page -> "Stable Release: Get PerformanceAnalytics 1.4.3541 from CRAN" -> Old sources: PerformanceAnalytics archive
for example, you will find package PerformanceAnalytics version 1.1.0 just requires R >= 2.14
Good luck
Alternatively, you can install the particular package from GitHub, if it has a repo at GitHub.
I ran install.packages('ggfortify'), and got
Warning message: “package ‘ggfortify’ is not available (for R version
3.3.2)”
ggfortify was the GitHub repo for the same package.
The devtools library allows you to install a package from GitHub directly with install_github('username/repo').
library(devtools)
install_github('sinhrks/ggfortify')
I try to build fork of R package from github (this fork has a fresh bugfix). I am able to build AND install the package from github:
require(devtools)
install_github("patcpsc/rredis", build_vignettes = FALSE)
However, this doesn't produce installable package - or does it? I need to install this package on 15 machines so I prefer to build the package once and then copy and install it on the other machines.
I tried to look for funciton like build_github, unfortunatelly there is none. How do I do it?
github has help documentation on how to fork a repository. It sounds like you've done the first part. Now you just need to clone the repository. That means taking a copy for your local machine so you can work on it. The buttons you want are on the right. Clone in desktop is for when you use the Github desktop software. If you are running git from a command line, type
git clone git#github.com:whatever-the-link-is-in-the-SSH-clone-url-textbox
Once you have a local copy of the repository, in R you do
library(devtools)
build("path/to/package/root")
I thought you wanted to actually work on the package. If you just want to download the source, there's a "Download ZIP" button right underneath the clone options. Download, unzip, then build in R as above.
It's old question and a lot changes since 2014. Now the workhorse is remotes package.
If you want installable package there is one created in your temp directory.
I usually don't want install so I create temporary library:
dir.create(tmp_lib <- "tmp_lib")
.libPaths(c(tmp_lib,.libPaths()))
.libPaths()
But you can skip that if not needed, now standard:
require(devtools)
install_github("patcpsc/rredis", build_vignettes = FALSE)
Now navigate to your temp location given by tempdir() (in Windows shortcut is: shell.exec(tempdir())).
You should see folder [fileXXXXXXXX] which should contain rredis_1.6.9.tar.gz file. This is what you need.
unlink(tmp_lib, recursive=TRUE) cleanup your temp directory.
How do I install an R package globally, so it's available to all users? Currently I'm doing
R.exe CMD INSTALL *.zip
But it does
* installing to library 'C:/Users/Matt/Documents/R/win-library/2.15'
I would like to install the packages alongside R in Windows' 'program files'.
Your big problem here is installing to C:\Program Files\. This means on versions of windows with file permissions, you need admin permissions to write to that folder. As R does not commonly request admin permissions, it will on default install to an user subdirectory, unless you run R as administrator (by right clicking on the shortcut). In which case you can use the GUI to install packages and it will install them globally by default. For working on the command line, you can also run the cmd session as administrator.
In future, it's recommended that you install R to say, C:\R\ to avoid this.
What worked for me was running:
install.packages("MyPackage", lib="C:\\Program Files\\R\\R-3.0.1\\library")
Installing it to Program Files wasn't a problem for me - the problem was that the default installation directory was in C:\\Users\\Mike\\Documents\\R\\...
Ultimately you just want to install it to wherever .libPaths() looks by default, and in my environment that was most commonly C:\\Program Files\\R\\R-3.0.1\\library
Here is a way to specify where to find or install libraries. You can put the libraries in a common directory.
http://cran.r-project.org/doc/manuals/R-admin.html#Managing-libraries