How do I install an old version of R on a window 10 64 PC.
I am currently running R 3.2.3 with RStudio without any problems. However a package I want to use (GSIF) only works on R2.15. I have found that it is possible to easily get RStudio to work with different R versions and I have found and downloaded the old version of R I want ( R-2.15.1-w.tar.gz) from the CRAN archives. My problems is cannot work out how to install the R-2.15.1-w.tar.gz package on a windows machine or in fact even if it is the right package for windows. All the instruction I can find seem to relate to Linux.
Any guidance greatly appreciated.
You can hold down the Control key during the launch of RStudio you can cause the R version selection dialog to display at startup.
https://support.rstudio.com/hc/en-us/articles/200486138-Using-Different-Versions-of-R
Related
I am using the regular R console on a MAC Air with Monterrey as the OS and I'm still having issues loading packages. It is iffy, as to whether a package is loaded and ready to use. Sometimes packages will load and sometimes not. Also, it would not call up data sets that as a default are included in the R packages I'm trying to use. the weird thing is it would recognize the example dataset that is included because when I first tied to call them up, it would let me autocomplete the name. Then it stopped doing that. Then it started telling me that the file doesn't exist. I know I haven't used R in a while but this just seems buggy! any help would be appreciated.
The R version that I have installed is : R version 4.2.0 (2022-04-22) -- "Vigorous Calisthenics" and it was installed just last week.
It seems R was not properly installed on your machine.
Several persons reported that using the package manager in RStudio actually did the trick of updating the packages.
Recently I've tried to install keras package in R. I ran the following commands:
install.packages("keras") library(keras)
But when I ran is_keras_avalable() I got FALSE.
I was told, that the problem with unsuccessful 'keras' installation may come from the old RStudio version, which is installed on my notebook (I work in RStudio 3.4.0). I was adviced to reinstall RStudio and to get a brand new version.
Could you, please, tell me how to do it? I'd be very pleased if you provide me with the necessary links for installing the latest RStudio version on Windows 8.1.
Thank you for your help.
RStudio is an application (specifically, an Integrated Development Environment, or IDE). This is a common tool for using R, which is a computer language. Much like Microsoft Word is a common tool for writing documents in English (or other languages - and in fact you can use RStudio to write files other languages like RMarkdown, Python, SQL, French, or Swahili.). However, just like you can write English in programs other than Word, you can also write and run R code in programs other than RStudio.
You can find the most recent version on the RStudio website, or you can look in the Help menu and select "Check for updates", which will give you a download link if a newer version is available.
Given the version number you show, 3.4.0, you need to upgrade R (the language), not RStudio (the application). The current RStudio version as I write this is 1.3.*, while the current R version is 4.0.*.
The place you need to go to update R is CRAN - their website has download links for Windows, Mac, and Linux.
MacOS: High Sierra, version 10.13.6
R version: 3.6.1
R studio verison: 1.2.1335
I have been using Anaconda to manage my R packages for a while now. However, I keep getting errors in regards to C and Fortran compilers when trying to install and run packages that depend on them through the Anaconda R studio distribution. Thus I started using the stand-alone version of R studio again. I use the tcltk package in pretty much all of my scripts to easily choose file paths to load multiple data sets etc. When using the tcltk::tk_choose.files() command through the Anaconda R studio distribution, the file explorer window looks like the standard file explorer in MacOS. However, when using the same command in the stand-alone version the file explorer looks like this when running through XQuartz/X11:
My question is why the file explorer suddenly looks this "old" and if there is a way to fix it so I can continue using tcltk? Otherwise are there any alternatives?
I have tried out rJava together with rChoiceDialogs but I cannot get the rChoiceDialogs::jchoose.files() to work.
I managed to solve the issue. Meaning the file explorer looks normal again. I uninstalled my R, RStudio, and XQuartz. I then reinstalled all three using homebrew following the guide posted here.
Running happily with R 3.4 and RStudio 1.0.143 under Win10 this problem occured bringing project development to a halt. Downloads each occur and are unzipped and then the a presumably first file in the first item gets:
Error in install.packages : cannot open file 'C:/Users/Admin/Documents/R/
win-library/3.4/file30504386b80/rJava/javadoc/resources/background.gif':
Permission denied
and the prompt returns.
Updating to R version 3.4.1 (2017-06-30), RStudio Version 1.0.153 was to no avail. Using the OS to remolve all R versions and trying again with 3.4.1 did not work. Removing R again and deleting the R directory to refresh the library did not work. My virius software like to tell how helpful it has been and has not, so that issue seems unlikely.
Giving the user full control of the R library did not help.
could package-updates be a tag like install-updates?
It looks there is a problem between Java and rJava.
You should try reinstalling Java using chocolatey package manager (https://chocolatey.org/) and then reinstall rJava package.
I had a similar issue two weeks ago on a windows laptop.
I had this problem for a long time. only in RStudio.
Install the package on R and Library it. Go to RStudio and require the package.
It works!
I feel pretty comfortable working with R, and I want to get into Python through Anaconda.
Upon trying the Jupyter Notebook and finding it has compatibility with R, I really want to use it.
I'm having problem installing the R packages that don't come in R-essentials; and mainly because I noticed it uses a different R installation than the one I had before. Not only is this a different R installation, but it also uses a previous version of R. In my local installation I have updated to 3.2.3 but in the Anaconda environment for Jupyter I got 3.1.
I also found a post to change the .libPaths variable to include the packages that I had already installed. Still, I see this as a potential problem because of the different R versions.
I wanted to know if I can update the R version that's used in Anaconda, or if I can point to the one that's installed locally.
Thank you.
You can install IRkernel in the normal R installation and then register the kernel: simply follow the instructions at http://irkernel.github.io/installation/