I have installed a custom package (not from CRAN) but unfortunately I can't find the original .tar.gz any more. Is there a way to get it from the installed version I have in order to be able to put it on other machines ?
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I am trying to install mvpart and MVPARTwrap packages in R version 3.6.1.
I install on my PC the folder of these two packages in zip version and load them in the relative folder of the package.
When I run the script library(mvpart) I get this message:
ERROR: 'mvpart' package was built before R 3.0.0: please reinstall it."
I try to load this library in the old version of R (version 2.15) and the message is
in install.packages (mvpart): object 'mvpart' not found".
I do not understand why it is impossible to load this package. Thanks so much.
Maybe the answer is no more relevant, but I just had to install those libraries so maybe it will still help someone later. I suggest the install from github as it will install dependencies, you need however to be able to compile the source. So here we go :
first install rtools if it is not already installed go here and follow the instruction
update/install devtools if necessary as described here
using this command, it should work now. you may be asked to update some packages, accept all
devtools::install_github("cran/mvpart")
How do I install a specific package version in Microsoft R Open (MRO)? I am familiar with the checkpoint("YYYY-MM-DD") function for changing ALL package versions to a specific MRO snapshot. I do not want to do this. I only want to change the version of a single package.
To install a specific version of a package, download the package from the CRAN or MRAN archive (src/contrib/Archive) and install it with
install.packages("/path/to/pkg/src", type="source")
where/path/to/pkg/src is the path to the downloaded package.
To get the package directly from a specific MRAN snapshot, use
install.packages('pkg', repos='https://mran.microsoft.com/snapshot/YYYY-MM-DD/')
To also get the dependencies, you want
install.packages('pkg', repos='https://mran.microsoft.com/snapshot/YYYY-MM-DD/', dependencies=TRUE)
Be aware, however, that the version you choose may not be compatible with the version of MRO you are using. This is why MRO uses a specific MRAN snapshot--to ensure compatibility of available packages with the specific MRO.
I'm not too familiar with the checkpoint() function but what I do see is that you can set project to a directory of packages you want to project be installed from the MRAN snapshot for the date specified for snapshotDate. It defaults to current working directory using getwd(), so I would assume if you changed the directory and had a specific package there, you would be able to workaround that way.
This question already has answers here:
installation path not writable R, unable to update packages
(9 answers)
Closed 2 years ago.
I installed the Bioconductor packages on R version 3.1.2 on Ubuntu 14.04 and received the message below:
The downloaded source packages are in
‘/tmp/RtmpZYw0Qp/downloaded_packages’ Warning message: installed
directory not writable, cannot update packages 'boot', 'class',
'KernSmooth', 'mgcv', 'nnet', 'rpart', 'spatial'
What does it mean, and how does it affect using the above packages on R?
I faced the same problem working in R-studio. The solution is to give root access to R.
In Windows, that means you need to run the program as an Administrator.
In Unix/Linux, you should launch R from the terminal by doing sudo R.
Then, once you're running with sufficient privileges, you can try installing your package and it should work.
The warning means that there are more recent versions of the listed packages available, but your version cannot be updated because the directory in which the packages are installed cannot be written to. Usually this means that R was installed with 'system administrator' privileges, but that you are trying to update packages as a regular user.
The consequence is that the features or bug fixes implemented in the updated packages are not available to you. The specific consequences could range from minor typographical corrections on a man page through serious bug fixes. Qualitatively, my bet is that it 'does not matter' for most uses.
The solution is to update these packages when running R as a user with permission to write to packages in the installed directories -- typically the last element of the output of .libPaths(), or more fine-grained via installed.packages()[, "LibPath"]
I faced the same problem today when installing three Bioconductor packages under Windows. Two (dependencies of the package I really wanted) were already on my system in newer forms (as described in #Martin-Morgan solution) and so no action was necessary. However, one was not installed. For this, third package, I had success in doing an installation from the local file that was downloaded during the failed install without having to escalate privileges (which was my next step as outlined by #Ninadmw).
In R, go to the menu Packages/Install Package(s) from local files and navigate to the local download directory listed, which in your case was /tmp/RtmpZYw0Qp/downloaded_packages, and select the package you want to install.
In RStudio (which you should use), go to the menu Tools\Install Packages, change the install from field to Package Archive File (.zip; .tar.gz), use Browse... to navigate to the listed download directory, which in your case was /tmp/RtmpZYw0Qp/downloaded_packages and select the package you want to install. Then click on the Install button.
Some time ago, you used to be able to install the rcom package in R to use COM scripting (eg, access to external programs.) Unfortunately, it seems to be discontinued:
Package ‘rcom’ was removed from the CRAN repository.
Formerly available versions can be obtained from the archive.
This depends on statconnDCOM, which nowadays restricts use, contrary
to the CRAN policy for a package with a FOSS licence. See
http://rcom.univie.ac.at/ and http://www.statconn.com/.
Following the archive and statconn links and installing one of the older versions in R version 3 gives the error:
“Error: package ‘rcom’ was built before R 3.0.0: please re-install
it”.
I am not very familiar with R, but there seems no way around this message - after all, it occurs when installing, so re-installing doesn't seem to be the answer. It appears as though rcom is simply not available for recent (3.0+) versions of R. I have also scanned the package list, although searching for "COM" there returns over a hundred results and it is possible I missed the right one when clicking through them.
How can I use the rcom package, or use COM from within R some other way?
(Note: I am asking this question on behalf of a colleague. I have no experience with R myself at all. Both of us, when searching for answers, could not find anything. I am sure that others are also using COM in the latest version of R, though!)
I looked at the rcom source code a few months ago. It seems I can get it to build and install OK on R3.0.1. Below is the procedure if it helps.
Get a checkout of the latest source code of rcom. I have rcom_2.2-5.tar.gz locally. I can google something at the following address, but I have no idea of the provenance, so up to you to check it is legit. http://cran.open-source-solution.org/web/packages/rcom/index.html
in R do install.packages('rscproxy')
install Rtools as per the instructions on the R web site (http://cran.r-project.org/bin/windows/Rtools),
open a Windows command prompt i.e. run "CMD"
go to the folder containing the 'rcom' folder, and at the command prompt:
set R="c:\Program Files\R\R-3.0.1\bin\i386\R.exe"
%R% CMD check --no-manual rcom
check it passes without too many complaints. Your call as to the --no-manual option (if you have MiKTeX installed you may remove it)
%R% CMD INSTALL rcom
should result in
installing to c:/Rlib/rcom/libs/i386
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded
rcom requires a current version of statconnDCOM installed.
To install statconnDCOM type
installstatconnDCOM()
This will download and install the current version of statconnDCOM
You will need a working Internet connection
because installation needs to download a file.
* DONE (rcom)
in R:
library(rcom)
installstatconnDCOM()
I tried a comRegisterRegistry() ; comRegisterServer()
; x<-comGetObject("Excel.Application") but I get a NULL for x. I am not a user of rcom so while it all seems to compile fine; it may just not work anymore.
If you happen to need to access .NET code, a viable option (and yes I have a vested interest in mentioning it) may be the rClr package.
Hope this helps; I'd be interested to hear how you go.
This really should be a comment, but I don't have enough rep points yet to leave one.
I found that the above steps did not work for me, but the answer posted by Lisa Ann on this question, RExcel in R 3.0.x, did solve my problem installing rcom. Since you need rcom to run RExcel, the initial steps to install RExcel cover installing rcom on newer versions of R (such as 3.0.2).
Specifically, following the advice on statconn's wiki, http://homepage.univie.ac.at/erich.neuwirth/php/rcomwiki/doku.php?id=wiki:how_to_install
You also need to follow these instructions if you upgrade R, i.e. you install a new >release of R after you have installed RExcel.
Download the statconn DCOM server and execute the program you downloaded
Start R as administrator (on Windows 7 you need to right-click the R icon and click the >corresponding item)
In R, run the following commands (you must start R as administrator to do this)
install.packages(c("rscproxy","rcom"),repos="http://rcom.univie.ac.at/download",lib=.Library)
library(rcom)
comRegisterRegistry()
Now you have rcom installed, [instructions for installing RExcel follow...]
New versions of rcom and rscproxy (also for current versions of R) are available from a different repository. Just use http://rcom.univie.ac.at/download as the R repository to install from and you can download and install binary versions of statconn packages from there.
Hope this helps!
I was trying to run code that required the R packages ‘pkgDepTools’ and ‘Rgraphviz’. I received error messages saying that neither package is available for R version 2.15.0.
A Google search turned up the following webpage RPM Pbone that seems to have the packages:
http://rpm.pbone.net/index.php3/stat/4/idpl/17802118/dir/mandrake_other/com/R-pkgDepTools-1.20.0-1-mdv2012.0.i586.rpm.html
and
http://rpm.pbone.net/index.php3/stat/4/idpl/17802080/dir/mandrake_other/com/R-Rgraphviz-1.32.0-2-mdv2012.0.i586.rpm.html
However, the files have an *.rpm extension rather than the *.tar.gz or *.zip extensions I am used to.
I am using Windows 7 and R version 2.15.0. Can I install an R package from an *.rpm file?
From Wikipedia *.rpm seems like maybe it is more for Linux:
http://en.wikipedia.org/wiki/RPM_Package_Manager
Regarding other possible solutions, I have found several earlier posts here with similar questions about installing R packages that are not available for the most recent version of R:
Bivariate Poisson Regression in R?
Package ‘GeneR’ is not available
R Venn Diagram package Venerable unavailable - alternative package?
I have installed the latest version of Rtools and the package 'devtools'. Although I know nothing about them.
There is an archived version of 'Rgraphviz' here:
http://cran.r-project.org/src/contrib/Archive/Rgraphviz/
but I cannot locate an archived version of 'pkgDepTools'.
If I can install the packages on a Windows machine using the above *.rpm files could someone please provide instructions?
If I must use Rtools to build them I might ask more questions because the instructions at the link below are challenging for me:
http://cran.r-project.org/doc/manuals/R-admin.html#Building-from-source
To be completely transparent I am hoping someone might build them for me, if that is possible. Although I recognize the experience and knowledge gained from doing it myself would probably pay off in the long run.
Thank you for any advice.
pkgDepTools and Rgraphviz are BioConductor R packages not ones hosted on CRAN. Unless you configure your R to download packages from those repos, R will report that they are not available; it can only install from repos it has been configured to install from.
To install those BioConductor packages a lite installation method is provided:
source("http://bioconductor.org/biocLite.R")
biocLite(c("pkgDepTools", "Rgraphviz"))
Further details are provided on the Install page of the BioConductor website
In general you can't use rpm packages on Windows; rpm's are the equivalent of a binary package for Linux. Any C/C++/Fortran/etc code will have been compiled for Linux not Windows. If a package really isn't available for your version of R then check if there is a reason stated on CRAN (usually Windows binaries take a few days longer to produce or there may be requirements for software not available on the CRAN Windows build machines). You can try the WinBuilder service run by Uwe Ligges to build Windows Binaries of packages for you, but if the package was on CRAN and now isn't that suggests it no longer works with current R and can not be built.
In general try a wider search for packages; the first hit in my Google search results under the search string "pkgDepTools" is the Bioconductor page for the package which includes a link to the Windows binary and instructions on how to install the package from within R.
I think this merits an answer rather than a comment.
A gentleman at Bioconductor helped me get Rgraphviz installed. The primary problem was that the version of Rgraphviz I had downloaded only seems to work with the 32-bit version of R and I was running a 64-bit version of R. I was able to install Rgraphviz in the 32-bit version of R.
I had also made an error or two in the PATH statement during some of my attempts to install Rgraphviz. However, the post above in my second comment provides the instructions for installation.
You just, it seems, cannot install the normal download version of Rgraphviz in the 64-bit version of R.
I think many of our emails back and forth are now posted on the Bioconductor forum.
I might edit this answer with more detailed instructions in the next 24-hours.