RStudio R File Corruption - r

I had a R script open in RStudio. The file was saved many times over the course of several weeks and worked perfectly fine when RStudio was opened and closed. However, today, I restarted my computer and when I opened RStudio and more specifically the script that I mentioned, all of the R code vanished, leaving a single long row of "....." with red highlighting.
When I tried to open the R file in other text processors such as Sublime Text and Notepad++, only a line of zeroes was visible. None of my other R files were affected. I'm currently running Windows 8.1 and have the latest version of R and RStudio. What can I do to recover the code in the file and prevent something like this from happening again?

It might be an old thread and it might have been covered in 'user4458796' answer in suggestion #1 ("Use the history..."), but:
My friend had the same problem and we managed to recover the code from a 'history_database' files located on Windows at:
'C:\Users\%user%\AppData\Local\RStudio-Desktop\'
I assume there is an equivalent location in Linux in general.
Hopefully I won't get downvoted, just sharing my 2cents.
Ben.

It's not clear what happened to corrupt your file (and thus how to fix it if possible) and it is kind of ominous that you're just seeing 0's in other text editors, but I'll give you my best suggestion and some tips.
Suggestions for Attempting Recovery
Since your other R files were unaffected, you should have a messy record of your code in the history. Use the history to reconstruct your code.
Access a copy of your file from any version control, cloud, or offline backup you may have used -- git, SVN, iCloud, SugarSync, Dropbox, etc (I realize you probably wouldn't have posted this question if that were an option, but I had to throw it out there).
Use a Hex or sector editor to try to recover the data.
Use a data recover program to find an old version of your file.
Inspect your trash or recycling bin to see if it has an old version. Depending on your OS and the settings of how you (insecurely or securely) delete files, then you may be able to undelete a deleted version, even if it's not immediately available.
Try different methods of recovering text data from corrupted text files like OpenOffice's and Microsoft's suggestions.
Tips for the Future
I know that hindsight is 20/20, but a few quick tips for good measure:
Use version control. Git is supported in RStudio's GUI interface.
Have more than one version of your file. Many professors and professionals recommend writing/storing code in a text editor and using your IDE only for the working copy.
Make backups. Distinct from #2, you should backup your files to a hard drive, flash drive, or cloud service like Dropbox or Spideroak.

Related

R Studio will not open .r files in source

I have used R for years and, until recently, have had few problems. However, since the last update, R keeps erasing scripts that I have saved in the Source window; then, when I go to retrieve them from recent files, it opens a script that has a title but zero code. I am able to open the files in notepad and copy/paste them back in, but I would like to know how to resolve this issue so that I could use R in the same expeditious manner as previous.
To reiterate with slightly different wording: R opens my saved scripts (.r files) as codeless source windows; there is simply a number 1 there and nothing else, though the title is displayed. I did save one as a text file and tried to open it that way but got the same results. Opening files in Notepad and copying/pasting them does work, but obviously R should be able to open R scripts and display R code.
Can anyone shed some light on this issue?
Thank you,
Matt
It's not sophisticated, but I would
uninstall R & RStudio
reset/remove the "internal state" stored by RStudio
reset/remove the "preferences" stored by RStudio
reinstall R & RStudio
Here's good documentation from RStudio for points 2 & 3, depending on your version and OS: https://support.posit.co/hc/en-us/articles/200534577-Resetting-RStudio-Desktop-s-State

Can I restore unsaved RMD file?

I used Rstudio and IOS systems.
I moved my RMD file from the desktop to a folder to prepare for submission without saving it before changing the places of RMD, which means it wasn’t the last version. I used R for most of my data cleaning process and indeed spent a lot of time on it. Is there any specific way to restore it?
Thanks very much for any potential help.
I tried restart the R. Check the recent files but nothing found

R studio not responding

My RStudio is opening multiple processes(opening R Studio in different windows) when I open just one. I am not able to open any project. It becomes unresponsive. I tried using in compatibility mode, running as admin and also uninstalled. But still,(here's the image) the same problem persists. Can someone please help me?
Before you reinstall everything, which may take a lot of time, it is worth removing application data, which is a cache R keeps of last sessions etc. It involves settings such as information from last session, etc which RStudio tries to reopen every time you open it.
For app data, look under your user folder which must be somewhere like
c:\Users\<your_user_here\AppData\Local
c:\Users\<your_user_here\AppData\Local\LocalLow
c:\Users\<your_user_here\AppData\Roaming
Delete every subfolder called R, RStudio-Desktop or RStudio under these folders. Don't worry, you won't lose your source program files and projects. It may help you recover everything without having to start over from scratch.

Saving an R-Script results in empty file

I have recently started using R for uni. I want to save my code using either save as or ctrl+s. However, the saved file is empty more often than not. For some reason, the files save normally on a few occasions. However, they also became empty after saving changes to the script.
I couldn't find any solution for the problem, neither here nor anywhere else.
I am using RStudio installed via Anaconda on an Windows 10 x64 Notebook, if that helps.
Thanks a lot for the responses! I'd be glad to provide more details if needed!
This is what the saved files look like from File Explorer:
I just meet the exactly same problem. I solved it by checking and changing RStudio -> File -> "Save as Encoding" from "ISO-8859-1 (System default)" to "UTF-8", then the file was saved. I'm trying to recover my previous 0kb files...
i couldn't reproduce the error but i also don't like to use the anaconda environment.
if the problem is saving the text file than may i suggest to do just that and save the code in a regular .txt file?
if this is not an option you can try to find out what happens if you save the r studio code on a different drive (or usb/flash drive)
###########################################################
EDIT 14.07.2022
Interestingly enough, just today (14.07.2022) I had the same problem. After installing R 4.2.1 everything worked fine until I changed the encoding (from utf-8 to windows 1252), at which point all the files in my project were overwritten and are now empty. Changing back to an older version of R (4.1.3) allowed me to display/save/use all scripts again (from backups).
Using the answer provided by #Shidan it is possible to open the data in R-4.2.1 as well.
This problem does not seem to be connected to Anaconda but an encoding issue between Rstudio and any R distribution above (and including) 4.2.

Tools Commonly used to Program in R

I apologize if this has already been asked a different way but I couldn't find anything getting at what I wanted.
I am really getting into R from other packages (SPSS). As I learn about what truly can be done, I realize that there are additional "tools" that I need. This gets me to my question.
What setup do you have for developing R code? I can't see myself actually developing r packages anywhere in the near future, but I do see myself wanting to manage my r projects effeciently, as well as create reports and presentations in LaTeX.
For context, I develop my R code in Eclipse for Windows, but I have had a real hard time successfully setting up Latex/Sweave and Github plugins.
Lastly, do you develop code using Windows or something else?
Many thanks in advance for any insight you can lend.
Emacs has everything I commonly need:
ESS (for R),
AucTeX (for Latex),
similarly rich 'modes' for other languages I use (C++, make, shell, ...),
plus a lot of other modes you get quite used to as e.g. dired for directory/file browsing or org-mode as planner/to-do list,
the SVN integration is very good too
and there are probably a number of tools within Emacs I am now forgetting.
Works in text mode as well as graphical mode, and works essentially the same (incl ESS and AucTeX) on several operating systems (Linux mostly and Windows when I must). On Debian/Ubuntu all this is prepackaged and tends to work out of the box as well. For both Windows and OS X, Vincent Goulet has package very handy bundles, see here.
The 'daemon mode' is outstanding too -- I keep the same main Emacs session running and just connect and re-connect to it even when accessing the machine (via ssh or directly) from different computers.
Also see the EmacsWiki for more tips around Emacs.
Back to Emacs and R in particular. The R FAQ says it pretty well:
6.1 Is there Emacs support for R?
6.2 Should I run R from within Emacs?
and I like the affirmative and resounding answer to the second question: "Yes, definitely". I fully concur.
I'll second the suggestion that Emacs compliments R nicely, but let me share what the "killer feature" is for me.
Using Org-mode with Org-babel, I can write whole reports with inline graphs produced from R in raster and vector format which compiles seamlessly into a PDF report via latex. I can also view the graphs while editing, similar to a WYSIWYG editor.
I just wrapped up a major report with over 70 inline graphs with little effort, no editing external files, no issues maintaining naming between figures in my report and external files, or forgetting to recompile the latest version of a figure. Org & Babel does it all.
Org-mode:
http://orgmode.org/
Org-Babel:
http://orgmode.org/worg/org-contrib/babel/index.php
Example of inline R with Babel and PDF output, see the first example in multiple formats:
http://orgmode.org/worg/org-contrib/babel/languages/ob-doc-R.php
Enjoy!
This is probably more relevant for package development, but it is also worth mentioning the roxygen R package that allows in-source documentation of your code. Note that even though you can't see yourself developing R packages anywhere in the near future, a package can be a very handy way of grouping related functions you develop and maintain, consistently documenting the code and keeping track of updates, even if you do not plan to distribute it.
I use a mac, and my most important tools are:
the command line, for running R
git, for keeping track of changes
github for publishing my code, bug tracking and collaboration
textmate for writing R code
Has anyone tried RStudio? It's the shiny new editor for R.
I use windows... (don't say it).
I like Notepad++ and NPPtoR. Makes it pretty easy to send things back and forth.
I use Eclipse on Windows and Linux. I compile LaTeX code (with Sweave) on Linux and I haven't bothered yet to set up the whole process in Eclipse. I need to pdflatex and bibtex files several times anyway, so I just have a terminal window with the specific string of commands handy. I tried ESS and Eclipse and they're very similar in functionality (and in my opinion the best two editors out there).
I use Eclipse / StatEt on Windows, and it Rocks !. For LaTex/Sweave I use MikTex which works well for me. For help setting things up check out this document and this post.
Other Tools you may find useful include;
If you want to build R Packages on
Windows, then get the RTools
For
Creating Documents, you may want to
check out odfWeave,
LibreOffice (was OpenOffice) and
the MSOffice ODF plugin
I have also
dabbled with Git but also didn't get
very far on Windows, but that was a
while ago.
For Presentations in LaTex
I recomend Beamer
I use Eclipse for both R and Latex while working on research papers. The plugins for both are very mature now. The nice thing is that you don't have to switch application while writing papers. I used different combination before but I found this to be the best.
I just got home from our local R User meeting (find one near you here) and of the 20 or so people there, all of us used a different program or tool to write R code in. I think that goes to show the diversity of the tools used to write and edit R code is just as diverse as the R community itself.

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