Extremely frustrated that I am not able to install the following package:
install.packages('tseries')
after I run this command I get the following message:
Would you like to use a personal library instead?
I click "yes"
Then it attempts to download a bunch of things from R URLs.
Then I get the following error where it mentions
Warning in install packages: lib = "My path" is not writable
I have read multiple things that mentioned that I need to set myself as administrator with full control/access.
I have done so and allowed full control to my personal account.
I then restart R and try to install the tseries package again but I get the same exact errors as mentioned above.
System windows 10
R version 3.6
Related
I was trying to install the package RINDSEL but I am unable to install it and I keep getting the following error:
Error in install.packages : cannot open the connection
I downloaded the package from:
rindsel_1.0_2.zip | Integrated Breeding Platform
and loaded it from the directory. Other packages from the directory can be installed but just not this one.
Is the package corrupt or could there be any other error?
I would really be grateful for any help. Thanks in advance
Rename the zip file RinSel Software into Rindsel. That's the name specified in the discription file.
Then, you can install the package in R with the command
install.packages("C:/path/to/Rindsel.zip",repos=NULL,type="win.binary")
That works fine... at first (!!!).
Problem with the Rindsel package is. It is quite old. It was build with R 2.13.1. Therefore, if you want to load the library which would be the next step to use the package in R you will get the error:
Problems building package (Error: "package has been build before R-3.0.0")
My suggestion: Contact the authors of the package and ask them if they can either provide the source file that you can build the package by yourself or if they can bundle the Rindsel package with a newer R version.
(Or you could try to hunt down an old R version and see if you can get the thing running with an old R... However, I would not seriously suggest to do that. It would probably result in conflicting dependencies with the other required packages...)
EDIT 15-02-2018: OP asked if one can build an R package with sources that are presumeably the Rindsel source files.
Yes, basically, you could do that. You would have to make a your own description and namespace file and put the source file in the R folder than invoke the command in R to build it....
But it's not neccessary with the script files provided by the link the OP posted.
OP, just run the scripts in R! It's quite easy.
Download the zip-file and extract it on your machine.
Go to that directory. The R command would be
setwd('path/to/your/directory')
Than run the R script, e.g, the KNIndex.r. It's simple:
source('KNIndex.r')
Then the script will run and produce some output / prompts.
For future readers,
I was able to fix the error by running RStudio with administrative privileges to get the command to work.
If that does not fix it, you might wish to try
Installing "r tools" if that is not installed already. That can be downloaded from
https://cran.r-project.org/bin/windows/Rtools/
Download a relevant package that you are trying to install (e.g., tidyverse_1.3.0.zip) from https://cran.rstudio.com/
and install that from local path
It can also be installed directly from the web using install.packages("https://cran.rstudio.com/bin/windows/contrib/4.0/tidyverse_1.3.0.zip")
I had the same problem. R was not able to extract and compile the package files to the default installation directory for some system-specific reasons (not R related).
I was able to fix this by specifying the installation directory of the package lib using:
install.packages("your package", lib = 'path/to your/required/installation/directory')
You can then load the package by specifying the lib.loc option while loading it:
library('your package', lib.loc='path/to your/required/installation/directory')
A better solution:
Create a new environment variable (if you are using windows) R_LIBS_USER with the following directory path/to your/required/installation/directory.
This will change the default installation directory of the packages and make it easier to load and install them without specifying the location everytime.
Please be patient with me as I'm a total noob, but I'm really trying to learn.
I'm trying to make a choropleth map for my country, and found an R package on Github that handles it excellently. However, I'm working on a university computer and I don't have write privileges on any drive but M://, so whenever the package tries to install on C:// it obviously throws an error. This hasn't been a problem since I can just specify a libpath as an argument on install.packages, but devtools::install_github does not seem to have such an argument.
I tried using
with_libpaths(new = "M:\R\win-library\3.2", install_github('diegovalle/mxmaps'))
But I got an error message saying
with_libpaths' is deprecated. Use 'withr::with_libpaths' instead.
I take this to mean that I need to install the "withr" package in order to use that? However, I keep getting errors when trying to install that package. First, I got
Warning in install.packages : installation of package ‘withr’ had
non-zero exit status
because of the not having access to C:// issue. I usually bypass this by installing directly from the binaries, but when I try that it tells me
"Warning in install.packages : package ‘withr’ is not available (for R
version 3.2.2)".
Other than updating my version of R (which will be a nighmare since I don't have installation privileges on this machine), how else can I either install withr or find another way to specify the directory to install the package from github?
I would suggest you to go with latest version of 3.4.All above mentioned packages are available under latest version.
Two ways to set local library paths (at least on Linux running R 3.5.3):
(1) At the beginning of your script, set the the .libPaths option to your local library path, i.e.: .libPaths("M:\R\win-library\3.2")
(2) Add to your .Renviron file a line that specifies your local library path: i.e.: R_LIBS="M:\R\win-library\3.2"
Note: For (1) You will need to manually run every time you start a new R session, whereas (2) will be set automatically when R starts.
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 am working on a 64 bit windows system. And I have a 64 bit, 2.15.1 version of R installed in it. I am trying to install a package called "MethLAB" from the package menu, by selecting its local zip file from the "Packages" menu. However I am running into an error show below.
> utils: : :menuInstallLocal ()
package 'MethLAB' successfully unpacked and MDS sums checked
> library(MethLAB)
> MethLAB()
Warning message:
In file (filename, "r", encoding =encoding) :
unable to resolve 'bioconductor.org'
So the above is what i get when i try to run it. Can anyone help me with its proper installation and running ?
I suspect it is because you are not connected to the internet. Is that so? If it is then you should contact the people that wrote the package; it seems the software is trying to contact BioConductor for some reason, perhaps to download additional packages/functionality etc. To that end, make sure you have installed all the pre-requisite packages needed to run `MethLAB.
Do note that this is a warning only, not an error. Whether this stops the package from working or not is a different matter. Again you should take this up with the developers if you have followed all the instructions on how to install and use the package.
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')