In order to use a specific library that has not been updated for some time, I want to use an older version of R (2.3.1), under linux Mint 14.
I got the source file, installed the required library; checking with :
apt-cache showsrc r-base | grep Build-Depends
and issued, as indicated in the R-admin help page, the command:
./configue
that ended without error; then
make
that terminated with the following error message:
In file included from datetime.c:95:0:
Rstrptime.h:201:12: erreur: conflicting types for ‘wcsncasecmp’
In file included from ../../src/include/Defn.h:928:0,
from datetime.c:58:
/usr/include/wchar.h:172:12: note: previous declaration of ‘wcsncasecmp’ was here
Does anyone know what trigered that error (conflicting type between files datetime.c and wchar.h, if I understand well), and how I could keep compiling past this error.
Thanks in advance for your help.
The problem is that R 2.3.1 is very old, and was developed with the old C libraries in mind. With a recent linux install, you have the new C libraries which might not work well with your old R version. What you could do:
Install an old version of linux from around the time of the R version, for example in a virtual machine.
Port the package to the new version of R yourself.
The second option takes more time, but will make the work you base on the package more future proof.
Related
I am a user of Julia v0.6, no issues to report. I am trying to update to Julia v0.7. I already have the CMD line version installed.
I copied the packages over from the v0.6 folder into my packages folder that came with v0.7.
Here is an image of my file structure in finder.
I see the packages in the "Packages" folder you see above. However, when I try "using SHERPA" for example(SHERPA is a package in the "Packages" folder), it says it's not installed. I thought maybe Pkg.init() would fix the problem but that command is deprecated on v0.7 so I don't know what to do.
I have already looked at the other StackOverflow questions and those didn't resolve my issue. I also already tried Pkg.resolve() and Pkg.Update() to no avail.
I appreciate your support.
Edit W/Solution:
At the time of this writing, I am running MacOs Mojave on my Mac and would suggest at least MacOs High Sierra since the file structure was changed in there.
Install Julia 0.7: https://julialang.org/downloads/ Note: if you don't see v0.7 on the link above, go here: https://julialang.org/downloads/oldreleases.html
Once v0.7 is installed, make sure it dragged into your application folder.
Run the program. Type "Pkg.resolve()" and "Pkg.Update()" in the Julia Terminal window that appears.
Then Run:
Pkg.add("JSON")
in order to get your packages file to show up...
This should make it so the new package management system is enabled. You can confirm that by checking your ".julia" folder(which can be accessed but going to finder - clicking Command-Shift-H and then Command-Shift-.)
You should see an "environments", "packages" and "registries" folder(in addition to probably a few others). Note as of now, due to the new package manager, you either cannot or I don't know how to, clone a project from GitHub desktop to your packages folder.
To add a custom-made package: open command line version v0.7
Type "]". You should see "(v0.7) pkg> " in blue text. Note use "Control"-"c" to exit Pkg mode in terminal.
Type " add https://github.com/xxxxxxx/xxxxxxx.git"
Type " add https://github.com/xxxxxx/xxxxxxx.git" Note: follow any on-screen prompts(i.e. "Type PKg.resolve() or Pkg.update()")
Note: you will probably see many depreciation warning when you run your old code.
How to use the new Pkg manager in Julia v0.7: https://docs.julialang.org/en/v1/stdlib/Pkg/index.html
This is not possible and/or not recommended for the following reasons:
The package manager is completely new in Julia v0.7/v1.0 compared to the one in Julia v0.6. In particular, the new package manager does not understand the old package managers folder structure and method of installation (git cloning). As a sidenote, the packages folder is not supposed to be modified by users, it is controlled by Pkg, and, in particular, putting something in the packages folder does not mean it is installed.
Since there have been very many changes between Julia v0.6 and v0.7/v1.0 is is unlikely that the same package versions that you use on Julia v0.6 works on newer Julia versions, so you don't really gain anything from copying, since you need to "reinstall" new versions anyway.
I would also like to point out that the new package manager is much faster compared to the old one, so
pkg> add PackageA PackageB ...
to add all the packages you use should not take more than a minute.
First of all, I am working on a Mac. I am trying to install Blotter from GitHub. I found several descriptions of how to do that but my RStudio tells me that I am missing Building tools and gives me a link (https://www.cnet.com/how-to/install-command-line-developer-tools-in-os-x/) where it is described to do that. So far so good. I downloaded Xcode and the command line tools for Mac and installed those. Nothing changed even after restarting R. Then I found this https://cran.r-project.org/bin/macosx/tools/. I installed it and during that, it told me that I had to do the following
"This package will install clang 6.0.0 for OS X 10.11 (El Capitan) or higher with OpenMP support in /usr/local/clang6
In order to use this compiler you have to add /usr/local/clang6/bin to the PATH environment variable such as
export PATH=/usr/local/clang6/bin:$PATH"
So I changed the environmental variable path as follows http://blog.tonytsai.name/blog/2018-05-07-setting-path-variable-for-gs-command-in-rstudio/.
How I changed the PATH variable.
Again I restarted R but still, nothing changed. I still get the notice that the building tool is missing.
Somehow it seems to me that I installed everything correctly but R doesn't recognize the Programmes. Does anyone have an idea? I tried to search for settings to tell R that I installed the command line tool but couldn't really find anything helpful.
Ok, a bit of an update.
Best I can see it that Blotter is built and stored on R-Forge packages under a package called RStrategist
In R console type/cut & paste this.
install.packages('RStrategist',repos='http://R-Forge.r-project.org')
See R forR-Forge for more details. Once this has been installed run instead.
library(RStrategist)
Unfortunately, I am not willing to install this package and see if it works mainly because 1) don't need it nor know how to use it, 2) not sure how good packages are from R-forge, though it seems legit, but, this brings me back to point one.
So before i read the updated answer of Conrad Thiele i was trying around bit. Basically i deleted R, R Studio, Xcode and Command Line tools. Then i installed Xcode, Command Line tools, R and RStudio. Then i followed the notice on https://cran.r-project.org about the tools and installed both stated tools. As mentioned in the original question the Clang package tells you to change the Environmental Variable. And there was the mistake i believe. I originally simply pasted "PATH=/usr/local/clang6/bin:$PATH" into the the ".Renviron" file. With reading up online i noticed that "export PATH=/usr/local/clang6/bin:$PATH" is actually a Command for the Mac Terminal. After executing it, it sill didn't work but then i remembered that i still had the Path "PATH=/usr/local/clang6/bin:$PATH" in the the ".Renviron" file. Once i deleted that it worked. So i guess the key was that with changing the Environmental Variable correctly R found the connection with the right tool. Patients paid off.
I'm trying to get R to recognize that I have installed Rtools.exe. I've tried installing it in several different locations. However, whenever I restart R and load devtools I get the same error:
> library(devtools)
WARNING: Rtools is required to build R packages, but is not currently installed.
Please download and install Rtools 3.0 from http://cran.r-project.org/bin/windows
/Rtools/ and then run find_rtools().
Naturally, whenever I try the function find_rtools() I get the same error message. I'm done trying to figure this out with help files, as the devtools help doesn't offer much. I've tried installing in several of the locations returned by get_path() but the problem persists.
FYI, currently my R is installed at D:/R.
Has anyone else had this problem, and more importantly, can anyone help me?
I'm sorry if this is a duplicate, and I've tried to include as many relevant details as possible so if you need any clarification please let me know.
Thanks,
Nick
Grab the batch file Rpathset.bat from batchfiles, edit the SET statements in it appropriately and then run R like this from the Windows console:
Rpathset
Rgui
I ran into this issue running a Windows 7 machine without admin rights. I leveraged G. Grothendieck's response, with a few additional steps.
Get Rpathset.bat from https://code.google.com/p/batchfiles/
Edit the Set statements in Rpathset.bat to your paths
Run CMD and change directories to where Rpathset.bat is stored
In the command prompt, run rpathset.bat > mypath.txt
Open mypath.txt with a text editor
Click Windows Start and search for environment
Click Edit environment variables for your account
Click path and then edit
Copy and paste the entire path from mypath.txt into the Windows path (everything after the path statement)
Restart RStudio and check that devtools::find_rtools() is TRUE
This file rtools.r contains the code for find_rtools(). It looks like it is trying to find ls and gcc in your system path (and then does some more checks based on the version) and if that fails it tries to look up SOFTWARE\R-core\Rtools in the the Windows registry.
As Thomas mentioned here, "Rtools is not a package." This is what I did to install Rtools. My RStudio is running R version 3.1.3. So I downloaded Rtools31.exe from https://cran.r-project.org/bin/windows/Rtools/. I executed the exe file, selected all the default options in the Setup Wizard and installed. (I had admin privilege on the computer I was using but I am not sure if that makes any difference.) To check that it was properly installed, you can enter find_rtools() in the R prompt which should return TRUE if Rtools installed properly.
For R 3.0, you probably just need to download Rtools30.exe and follow the same steps above.
I ran into this problem trying to install Rtools33 to use Hadley Wickham's lineprof package. I got that error multiple times. I'm running Windows 7 on a laptop.
I was able to fix the problem by running the Rtools installation file as the windows Admin (i.e. right-click the Rtools33.exe and choose "Run as administrator")
I also made sure to point the path to the R source directory, which I kept in C:\Rtools\ (which contains C:\Rtools\bin\ and C:\Rtools\gcc-4.6.3\).
This solved the problem for me and I am now able to install lineprof from GitHub and make use of it.
I just updated R from version 2.15.1 to version 3.0.0 on my MAC running 10.6.8 and now R crashes on startup.
I get the error:
Error in getLoadedDLLs() : there is no .Internal function 'getLoadedDLLs'
Error in checkConflicts(value) :
".isMethodsDispatchOn" is not a BUILTIN function
Any ideas on how to go about?
The most common cause of this is having a corrupted ".Rdata" file in your working directory. Using the Mac Finder.app you will not by default be able to see files that begin with a ".", so-called dotfiles. Those files can be "seen" if you execute a change to the plist controlling the behavior of Finder.app. Open a Terminal.app window and run this bit of code:
defaults write com.apple.Finder AppleShowAllFiles YES
Then /point/-/click/-/hold/ on Dock-Finder-icon, and choose "Relaunch"
If you to do so, you can then change it back with the obvious modfication to that procedure. I happen to like seeing the hidden files so that's the way I run my Mac all the time, but some people may feel it is too dangerous to expose the "hidden secrets" to their own bumbling.
Paul raises a good point: I run the following R function in the R console after updating:
update.packages(checkBuilt=TRUE, ask=FALSE)
I have a lot of installed packages and paging through the entire list has gotten too tiresome so I bypass the ask-messages. Sometimes you will get errors because there may be dependencies on r-forge or Omegahat packages or on packages that need to be compiled from source. These may need to be updated "by hand". And you may need more than one pass through such an effort. Take notes of which packages are missing and fill them in.
I had the same problem running RKWard on ubuntu 12.04.
Check your r-base-core, like Paul suggested, to make sure the version is also at the latest version. Mine didn't update automatically. I had a platform dependent version, but RKWard was calling the new version. To solve this problem, I simply marked r-base-core for removal and reinstalled the latest version or r-base-core. poof problem fixed, bippity boppity boo!
I suspect that your error is similar to mine because I had also JUST updated RKWard. Start at updating r-base-core or try to get all of the dependencies to match up the versions.
I hope that you can translate this into what to do on a MAC,
SU
Yesterday I removed R2.11 from my system (Win7, 64bit), since I´m working on R2.13.
Since then i get an error message:
> require(rJava)
Lade nötiges Paket: rJava
Error : .onLoad in loadNamespace() fehlgechlagen, Details:
Aufruf: rJava
Fehler: inDL(x, as.logical(local), as.logical(now), ...)
I tried specifying PATH, since I found on the internet that it might have something to do with jvm.dll:
c:\Rtools\bin;
c:\Rtools\perl\bin;
c:\Rtools\MinGW\bin;
c:\Rtools\MinGW64\bin;
C:\Windows\system32;
%R_HOME%\bin;
C:\Program Files\R\R-2.13.0\bin;
C:\Program Files\Java\jre6\bin\server
However I could not solve the problem...
I also can´t run R from the win command line (just type "R"?)
Any suggestions?
Here is some quick advice on how to get up and running with R + rJava on Windows 7 64bit. There are several possibilities, but most have fatal flaws. Here is what worked for me:
Add jvm.dll to your PATH
rJava, the R<->Java bridge, will need jvm.dll, but R will have trouble finding that DLL. It resides in a folder like
C:\Program Files\Java\jdk1.6.0_25\jre\bin\server
or
C:\Program Files\Java\jre6\jre\bin\client
Wherever yours is, add that directory to your windows PATH variable. (Windows -> "Path" -> "Edit environment variables to for your account" -> PATH -> edit the value.)
You may already have Java on your PATH. If so you should find the client/server directory in the same Java "home" dir as the one already on your PATH.
To be safe, make sure your architectures match.If you have Java in Program Files, it is 64-bit, so you ought to run R64. If you have Java in Program Files (x86), that's 32-bit, so you use plain 32-bit R.
Re-launch R from the Windows Menu
If R is running, quit.
From the Start Menu , Start R / RGUI, RStudio. This is very important, to make R pick up your PATH changes.
Install rJava 0.9.2.
Earlier versions do not work! Mirrors are not up-to-date, so go to the source at www.rforge.net: http://www.rforge.net/rJava/files/. Note the advice there
“Please use
`install.packages('rJava',,'http://www.rforge.net/')`
to install.”
That is almost correct. This actually works:
install.packages('rJava', .libPaths()[1], 'http://www.rforge.net/')
Watch the punctuation! The mysterious “.libPaths()[1],” just tells R to install the package in the primary library directory. For some reason, leaving the value blank doesn’t work, even though it should default.
I finally solved the problem:
It seems that rJava searches for jvm.dll in ~\Java\jre6\bin\client.
However this folder didn´t exist on my system (jvm.dll was in ~\bin\server).
So I just made a copy of jvm.dll in a folder ~\bin\client\ and added this to the path.
Now everything works fine!
My problem was solved by
install.packages("SqlRender",INSTALL_opts="--no-multiarch")
It was a package that depends on rJava and all advices were telling me to fix Java installation. But the solution was to use install option that simply forgets about i386 architecture. (also works with drat library and packages not from CRAN)
This may be due to a conflict between RStudio and Java versions. If you have installed 64 bit java and RStudio is running in 32 bit mode, you may experience problems like this. As a solution, you can change the 32-64 bit selection in the Tools-> Global Options-> General section in RStudio.
You can find detailed information here.
In my case installing proper version of Java solved my problem.
I installed 64x bit java, cause I use 64x bit R version.
I solved it by following these steps
setting my environment Sys.setenv(JAVA_HOME='C:\\Program Files (x86)\\Java\\jre6')
Manually installing rJava package from install package (even this should work:
install.packages('rJava', .libPaths()[1], 'http://www.rforge.net/'))
library(rJava)
I solved this problem as follows. I've been trying for 2 days.
Windows 7 users do not write ... \ bin \ x64 in environment variables.
Instead, define the path as follows.
JAVA_HOME "C: \ Program Files \ Java \ jre1.8.0_251"
R_HOME C: \ Program Files \ R \ R-3.5.3
In RStudio type .LibPaths()
This will give you an path in you windows system where your library’s are located
Go there and delete rJava. If it is being used by applications of Java, kill all Java programs in the Task Manager.
Go to computer and properties, click on change environment variables
Edit JAVA_HOME and all Java related paths to the path where your newest installation of Java is located and save.