I am trying to create a package. It depends on several packages. I added the imports to the namespace file and the Depends in the description file.
I found possible solutions here and here, but these didn't work- I think because I am on CentOS.
This is what I see on my screen:
[hadoop#localhost RProjects]$ sudo R CMD check TextPreProcess
* using log directory ‘/home/hadoop/RProjects/TextPreProcess.Rcheck’
* using R version 2.15.1 (2012-06-22)
* using platform: x86_64-redhat-linux-gnu (64-bit)
* using session charset: UTF-8
* checking for file ‘TextPreProcess/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘TextPreProcess’ version ‘1.0’
* checking package namespace information ... OK
* checking package dependencies ... ERROR
Packages required but not available:
‘RWeka’ ‘Snowball’ ‘lsa’ ‘plyr’ ‘snowfall’ ‘tau’ ‘tm’
See the information on DESCRIPTION files in the chapter ‘Creating R
packages’ of the ‘Writing R Extensions’ manual.
I went through Writing R Extentions but I couldn't derive a lot of insight as to how to solve my problem.
It's working now.
What I did was:
add ~/R/x86_64-redhat-linux-gnu-library/2.15 to .libPaths (That's where my R library was)
Detach all libraries in R
Restart the R session. (For multiple sessions, close all of them.)
install the required packages.
Check if the Imports & Exports are correct in the namespace file.
Check if the required fields are available in the Description file. Make sure all dependencies are handled between 'Depends', 'Imports', 'Suggests' and 'Enhances'.
Checked it. R CMD check <pkg>. Built it. R CMD build <pkg>. Installed it. R CMD INSTALL <tarball>.
Done.
I had the same problem because packages were installed but for different R versions.
To solve, I opened the old R version (the one the package was built under), and installed the missing packages under that version and it solved the problem.
E.g.
# Version should match the version your package was built in
R.version
# 3.5.1
install.packages(c('stringr', 'lubridate', 'testthat'))
Tips
If you need to check your R version, simply type R.version
If you need to switch R version, hold control while starting RStudio on windows, or on mac download a very simple application called RSwitch to instantly switch between version (you'll still need to restart the R session with .rs.restartR()
Related
For reasons that are too long to explain here, I must use R.2.8.1 (unfortunately). I need to have the xlsx package installed on it. Since I am on R 2.8.1, about ten years old, I can't use the latest version of xlsx but an older version, for instance xlsx_0.1.3 from 2010 seems a good choice. However the previous releases per R-CRAN policy are only available in tar.gz.
This is very unfortunate to me because I have to use RGui on windows which only accepts .Zip packages in installation. Therefore I tried the following stuff, in vain:
1-I tried to use Rcmd but I get the following error message:
C:\Program Files (x86)\R\R-2.8.1\bin>Rcmd INSTALL C:\Users\username\Downloads\xlsx_0.1.3.tar.gz
Can't use 'defined(#array)' (Maybe you should just omit the defined()?) at C:\PROGRA~2\R\R-28~1.1/bin/INSTALL line 42.
so I give up on this one.
2-Then I think that the best solution is to convert the package xlsx_0.1.3.tar.gz into a compatible xlsx_0.1.3.zip package by building it using R.2.8.1 but I can't make it. Here is one of the things I have tried so far.
I have unziped xlsx_0.1.3.tar.gz and I organized it in the following way, which brought me the furthest:
Documents\xlsx
Documents\xlsx\activate.bat
Documents\xlsx\build_xlsx.bat
Documents\xlsx\R
Documents\xlsx\R\inst
Documents\xlsx\R\man
Documents\xlsx\R\other
Documents\xlsx\R\R
Documents\xlsx\R\DESCRIPTION
Documents\xlsx\R\NAMESPACE
Documents\xlsx\R\NEWS
Documents\xlsx\R\WISHLIST
inside activate.bat, I wrote:
SET TMP=C:\Users\username\Documents\TOTO\xlsx\tmp
SET TEMP=%TMP%
SET RTOOLSPATH=C:\DEV_307\toto\Rtools
SET RPATH=C:\DEV\toto\R\R-2.8.1
SET PATH=%RTOOLSPATH%\bin;%RTOOLSPATH%\MinGW\bin;%RPATH%\bin;%PATH%
inside build_xlsx.bat, I wrote:
R CMD BUILD R
R CMD check --no-examples --no-tests R
R CMD build --docs=normal --binary R
Then I still get:
C:\Users\username\Documents\TOTO\xlsx>R CMD BUILD R
* checking for file 'R/DESCRIPTION' ... OK
* preparing 'R':
* checking DESCRIPTION meta-information ... OK
* installing the package to re-build vignettes
Can't use 'defined(#array)' (Maybe you should just omit the defined()?) at C:\DEV\toto\R\R-2.8.1/bin/INSTALL line 42.
ERROR
Installation failed.
Removing 'C:/Users/username/Documents/Rinst1210839349'
Thank you for your help
I can't include structured content in comments. This is really a comment.
The structure of source packages (which is what you have with xlsx_0.1.3.tar.gz if you pulled it from the CRAN archives) hasn't changed (much) since 2.8.1.
You'll also need to grab rJava_0.8-3.tar.gz and xlsxjars_0.2.0.tar.gz from the archive as xlsxjars + xlsx rely on rJava.
Extract each (since Windows R 2.8.1 seems to not grok gz files). They should make rJava, xlsxjars and xlsx directories each.
Move to the parent directory of both.
Run:
R CMD javareconf
R CMD build rJava
R CMD INSTALL rJava_0.8-3.zip # I believe this will be the name
R CMD build xlsxjars
R CMD INSTALL xlsxjars_0.2.0.zip
R CMD build xlsx
R CMD INSTALL xlsx_0.1.3.zip
and you should be gtg.
I updated R 3.4.4 to R 3.5.0 today. And my package cannot pass R CMD check anymore. It fails at checking whether package can be installed ... ERROR.
In another hand my package works, I can install it and use it as long as I don't check it.
The error is the following:
Error: package or namespace load failed for ‘sp’:
package ‘lattice’ was installed by an R version with different internals; it needs to be reinstalled for use with this R version
Error : package ‘sp’ could not be loaded
I tried to reinstall lattice these ways:
sudo apt-get --reinstall install r-cran-lattice
or
remove.packages("lattice", lib="~/R/x86_64-pc-linux-gnu-library/3.5")
install.package("lattice")
The package lattice is installed correctly in both cases. But it does not solve my problem. Also I ensured to have a single version of lattice removing either the r-cran one or the self compiled version. Nothing works.
Edit By the way I can do library(sp) or library(lattice) it works. But not with R CMD check
The error message tells you that the binary you are attempting to install comes from an insufficient / incompatible R version.
Two fixes:
Install from source as you did. After that check with AP <- available.packages() that you really only have one.
Use the correct binarie: read this README at CRAN and switch to Michael's 'R 3.5' repos. Many of us have been doing that for weeks.
Lastly, the r-sig-debian list is a friendly place for these questions and more. Subscribe first so that you can post.
I am fairly new to R. I have tried to google my question, and tried a few things, to no avail.
I am working on a MAC * High Sierra version 10.13.5
I am working with R * R version 3.5.0 (2018-04-23) -- "Joy in Playing"
I am unable to install the package "gtools", and I don't know what to do to make it work??
install.packages("gtools", type="source")
Warning: unable to access index for repository https://mirrors.sorengard.com/cran/src/contrib:
cannot open URL 'https://mirrors.sorengard.com/cran/src/contrib/PACKAGES'
Warning message:
package ‘gtools’ is not available (for R version 3.5.0)
I have also tried to install from a file saved on my computer, but this did not work either
library(gtools)
Error: package or namespace load failed for ‘gtools’:
package ‘gtools’ was installed by an R version with different internals; it needs to be reinstalled for use with this R version
You could try specifying a specific repository, for example:
install.packages("gtools", repos="https://cran.rstudio.com/")
Why are you using install from source? typically to install a package u only need to use the command
install.packages("gtools")
Then it will automatically ask u for a mirror to download from. It seems like "gtools" is available for R 3.5, so try to download it from another mirror and it should work.
I want to use arulessequences for sequence mining. I have to use it in Oracle R distribution version R 3.3.0 (last released) and The problem is that the last version of the arulesSequences package is R >= 3.3.2. So I get an error for this problem:
Error: this is R 3.3.0, package arulesSequences needs >=3.3.2
So I decided to compile the source code for older release. I downloaded an older package that needs R 3.2.5 or above. And I know that this package is depended to arules. so I have installed it already. I used following instructions to compile the arulessequences package:
in the source directory I run this command:
R CMD build arulesSequences
the output of this command is:
c:\rr\arulesSequences_0.2-17>R CMD build arulesSequences
* checking for file 'arulesSequences/DESCRIPTION' ... OK
* preparing 'arulesSequences':
* checking DESCRIPTION meta-information ... OK
* cleaning src Warning in cleanup_pkg(pkgdir, Log) : unable to run 'make clean' in 'src'
* checking for LF line-endings in source and make files
* checking for empty or unneeded directories
* looking to see if a 'data/datalist' file should be added
* building 'arulesSequences_0.2-17.tar.gz'
a file named 'arulesSequences_0.2-17.tar.gz' get created but when I check it as below I get the following as output:
c:\rr\arulesSequences_0.2-17\arulesSequences>R CMD check arulesSequences
* using log directory 'c:/rr/arulesSequences_0.2-17/arulesSequences/arulesSequences.Rcheck'
using R version 3.4.0 (2017-04-21)
using platform: x86_64-w64-mingw32 (64-bit)
using session charset: ISO8859-1
checking for file 'arulesSequences/DESCRIPTION' ... OK
this is package 'arulesSequences' version '0.2-17'
checking package namespace information ... OK
checking package dependencies ... ERROR Package required but not available: 'arules'
See section 'The DESCRIPTION file' in the 'Writing R Extensions'
manual.
* DONE Status: 1 ERROR
I know the arules package is installed and I checked it. It seems the build process is not successful. do you have any idea to help solve this out?
You have to first install c/c++ compiler for R(called gcc) that is under R's additional build tools.
to do that, in RStudio goto File->New File ->c++ File.
It will show the following dialogue:
Then click on yes.
to compile a package under windows, you have to set repo to Null and type to source.
you can use this command to do that:
install.packages("SOURCEADDRESS",type="source",repo=null)
as #EugèneAdell mentioned above you have to first install arules. then arulessequences.
Instead of building, take the archive packages that seem to be ok for your R version and install them. On my Linux, this gives :
wget http://cran.univ-paris1.fr/src/contrib/Archive/arules/arules_1.5-0.tar.gz
R CMD INSTALL $HOME/arules_1.5-0.tar.gz
* installing to library ‘/home/ruser/R-3.2.5/lib64/R/library’
* installing *source* package ‘arules’ ...
...
** testing if installed package can be loaded
* DONE (arules)
wget http://cran.univ-paris1.fr/src/contrib/Archive/arulesSequences/arulesSequences_0.2-17.tar.gz
R CMD INSTALL $HOME/arulesSequences_0.2-17.tar.gz
* installing to library ‘/home/ruser/R-3.2.5/lib64/R/library’
* installing *source* package ‘arulesSequences’ ...
...
** testing if installed package can be loaded
* DONE (arulesSequences)
R
> library(arulesSequences)
Loading required package: arules
Loading required package: Matrix
Attaching package: ‘arules’
Maybe a more recent version for arules is possible, I just took the first one from the 1.5 series.
I am developing an R package for which I wrote some test files using R package testthatand placed the files under tests folder. I ran R CMD build on a Linux machine with R version 3.0.0. The command failed because testthat package requires R version at least 3.1.0.
Two following things I can do, but I am not sure which is better.
I can remove whole things in tests folder, so that my R package will also work for R version less than 3.1.0. As I notice, test files are not required for building an R package. Those are only useful for the developer.
I can keep all test files, but explicitly mention Depends: R (>= 3.1.0) in the DESCRIPTION file. The downside is that: (1) the package will be available to less users; and (2) more important, it depends on testthat package. Whatever updates there might affect my package potentially.
Which one do you think is better?
[update]
I followed the suggestion from # hrbrmstr, which is, I first built the package using R 3.1.0, and then check it on a Linux machine with R 3.0.0. But I still failed. The log is as follows.
* checking package namespace information ... OK
* checking package dependencies ... ERROR
Package suggested but not available: ‘testthat’
The suggested packages are required for a complete check.
Checking can be attempted without them by setting the environment
variable _R_CHECK_FORCE_SUGGESTS_ to a false value.
Any ideas to fix this issue?Or should I take approach 1 or 2 as stated above?