I have updated my windows and R cannot run, and hence neither can R studio. When I run R GUI it just freezes and is unresponsive. I have allowed chromium exemption to the firewall
I am on Windows Insider program and has just updated to
Windows 10 Home, Insider Preview
Evaluation Copy.Build 20190.rs_prerelease.200807-1609
Note that R GUI freezes and then shuts down on its own, so maybe the problem is R GUI and not R Studio.
I get the following errors on R studio.
This site can’t be reached
127.0.0.1 refused to connect.
Try:
Checking the connection
Checking the proxy and the firewall
ERR_CONNECTION_REFUSED
Cannot Connect to R
RStudio can't establish a connection to R. This usually indicates one of the following:
The R session is taking an unusually long time to start, perhaps because of slow operations in startup scripts or slow network drive access.
RStudio is unable to communicate with R over a local network port, possibly because of firewall restrictions or anti-virus software.
Please try the following:
If you've customized R session creation by creating an R profile (e.g. located at ~/.Rprofile), consider temporarily removing it.
If you are using a firewall or antivirus software which guards access to local network ports, add an exclusion for the RStudio and rsession executables.
Run RGui, R.app, or R in a terminal to ensure that R itself starts up correctly.
Further troubleshooting help can be found on our website:
Troubleshooting RStudio Startup
This has been fixed with Windows 10 Insider Preview Build 20201 (released on August 26, 2020 in the Dev channel).The previous two builds were missing 64-bit APIs required by the prebuilt version of R.
Same issue.
Rollback to the previous version solves the problem.
I think it is about the update of the graphic features of Windows.
Here is what Microsoft said in the build 20190 changelog:
Improved Graphics Settings experience
While this isn’t a new feature all together, we have made significant changes based on customer feedback that will benefit our customers’ Graphics Settings experience. We have made the following improvements:
We’ve updated the Graphics Settings to allow users to specify a default high performance GPU.
We’ve updated the Graphics Settings to allow users to pick a specific GPU on a per application basis.
Related
I have an RShiny based application developed on Windows 10 using R (4.0.4), RStudio and RShiny. I want to share this application with my colleagues (who also use Windows 10) for them to use but they don't have R or RStudio installed. I want them to be able to use this app without installing R and RStudio since we don't have admin rights on our laptops and getting them requires raising tickets. One possible option would be to host the app on a server and use shiny-server, then share the link to the app. But we don't have a server budget currently.
My primary question is, if there is a way to share the app with my colleagues without them having to go through the hassle of installing R and RStudio.
From my preliminary research, I have found that Dockers (or Rockers by RStudio Inc.) can be used to achieve this by making the app into a "docker image" (whatever this means!). But all the articles I found were about dockerising the RShiny app for Linux based systems and servers. Hence, my secondary question is, if anybody knows this Docker/Rocker can be used on Windows based systems to help me in my scenario explained in first paragraph.
RStudio 1.2.5033 and 1.3.1073 is crashing when creating standard New projects (although not with R package projects) on "some" Windows Network Share Drives.
As of current (ie Sept. 2020) this is supposed to get fixed with RStudio's next boost update see: https://stackoverflow.com/a/63738420/1216790 for similar or root cause of issue
and
https://github.com/rstudio/rstudio/issues/7716#issuecomment-686641326 regarding expected solution.
A few days ago I noticed R was using 34% of the CPU when I have no code running. I noticed it again today and I can't figure out why. If I restart R, CPU usage returns to normal, then after 20 minutes or so it ramps up again.
I have a task scheduled that downloads a small file once a week using R, and another using wget in ubuntu (WSL). It might be the case that the constant CPU usage only happens after I download covid-related data from a github (link below). Is there a way to see if this is hijacking resources? If it is, other people should know about it.
I don't think it's a windows task reporting error since my temps are what I would expect for a constant 34% cpu usage (~56C).
Is this a security issue? Is there a way to see what R is doing? I'm sure there is a way to better inspect this but I don't know where to begin.. Glasswire hasn't reported any unusual activity.
From Win10 event viewer, I've noticed a lot of these recently but don't quite know how to read it:
The application-specific permission settings do not grant Local Activation permission for the COM Server application with CLSID {8BC3F05E-D86B-11D0-A075-00C04FB68820} and APPID {8BC3F05E-D86B-11D0-A075-00C04FB68820} to the user redacted SID (S-1-5-21-1564340199-2159526144-420669435-1001) from address LocalHost (Using LRPC) running in the application container Unavailable SID (S-1-15-2-181400768-2433568983-420332673-1010565321-2203959890-2191200666-700592917). This security permission can be modified using the Component Services administrative tool.
*edit: CPU usage seems to be positively correlated with the duration R is open.
Given the information you provided, it looks like RStudio (not R) is using a lot of resources. R and RStudio are 2 very different things. These types of issues are very difficult to investigate as one need to be able to reproduce them on another computer. One thing you can maybe do is raise the issue on github to the RStudio team.
I have been using R on commandline (BASH). I am unable to access the internet (download any packages). I have tried proxy system wide, and tested it with wget, which works. The "install.packages()" command however does not.
Per some user's advice, I also tried setting the proxy in .Rprofiles file. That didn't help either. Please advice.
I recently ran into the same issue on my work machine. Our Firm uses Cylance as its antivirus software. Cylance was quarantining the file "internet.dll" that R uses to access the Internet. Fortunately, however, it only does so in the 32-bit version of R. For me, there were two solutions:
First, I was able to download packages directly from the 32-bit version of R (outside of RStudio). This works fine. The downloaded packages will run in 64-bit RStudio.
The longer-term solution was to submit an IT service request to release this file from quarantine (that is, to "whitelist a blocked entity"). At my Firm this was promptly done, as there is (obviously) nothing unsafe about this R file.
I am new in R and I am working with a datasets that has more than 5 millions of observations. So I thought that it would be a good idea to use RStudio on a virtual machine instead of using it on my local machine.
I am reading the documentation about virtual machines and RServer but it is still not clear to me if I have to use Microsoft R Server to create a VIM and then just install Rstudio as I would do in my local machine or if I can create a generic VIM and then install RStudio. Which is the correct way? Why?
If both of these options are possible, which one is the best?
Please help me. Sorry for my confusion.
You can do either. If you are using Azure (which I think you are given that you mention Microsoft R Server), there is also the Data Science VM, which will come preinstalled with RStudio and many other useful programs.
R Server is more for production workloads with R, so unless you are planning that you could probably stick with the Data Science VM. If you end up choosing this option, you can connect directly to an RStudio instance on the R Server from the Azure portal.