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How to set memory limit in RStudio (desktop version)?


Increasing (or decreasing) the memory available to R processesHow to set memory.limit in RStudio on Windows Vista at startup?How To Limit the Amount of RAM RServer/RSession Uses on WindowsLimit memory usage of RHow to set limits for axes in ggplot2 R plots?Setting up RStudio Portable Default R versionRStudio freezes on “saving workspace image,” previously saved .RData file disappearsRStudio server increasing memory for allocation?setting SQLite version on RStudioHow to decrease memory used by Rscript.exe?“GC overhead limit exceeded” on cache of large dataset into spark memory (via sparklyr & RStudio)How to stop a running query?How to set locale for Rstudio?rstudio - removing the memory limit






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;








20















I'm aware that there has already been a similar question here, but the answer is out-of-date. The information I've found in the internet refers to RStudio Server rather than Desktop.



I have limited resources on my Windows 7 x64 PC. I've set the environment variable R_MAX_MEM_SIZE and this is accepted by the RGui (as seen when typing memory_limit()). However, RStudio (Version 0.98.507) ignores this setting and still uses the entire memory of my computer which sometimes leads to crashes of the whole system. How can I limit the amount of memory used by R when running it in RStudio Desktop?










share|improve this question



















  • 1





    you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

    – rischan
    May 30 '14 at 9:19






  • 1





    @rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

    – AnjaM
    May 30 '14 at 9:23






  • 2





    @hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

    – AnjaM
    May 30 '14 at 18:02






  • 1





    @hadley Done: support.rstudio.com/hc/communities/public/questions/…

    – AnjaM
    Jun 3 '14 at 6:49






  • 1





    Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

    – m-dz
    Aug 1 '16 at 9:03

















20















I'm aware that there has already been a similar question here, but the answer is out-of-date. The information I've found in the internet refers to RStudio Server rather than Desktop.



I have limited resources on my Windows 7 x64 PC. I've set the environment variable R_MAX_MEM_SIZE and this is accepted by the RGui (as seen when typing memory_limit()). However, RStudio (Version 0.98.507) ignores this setting and still uses the entire memory of my computer which sometimes leads to crashes of the whole system. How can I limit the amount of memory used by R when running it in RStudio Desktop?










share|improve this question



















  • 1





    you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

    – rischan
    May 30 '14 at 9:19






  • 1





    @rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

    – AnjaM
    May 30 '14 at 9:23






  • 2





    @hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

    – AnjaM
    May 30 '14 at 18:02






  • 1





    @hadley Done: support.rstudio.com/hc/communities/public/questions/…

    – AnjaM
    Jun 3 '14 at 6:49






  • 1





    Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

    – m-dz
    Aug 1 '16 at 9:03













20












20








20


5






I'm aware that there has already been a similar question here, but the answer is out-of-date. The information I've found in the internet refers to RStudio Server rather than Desktop.



I have limited resources on my Windows 7 x64 PC. I've set the environment variable R_MAX_MEM_SIZE and this is accepted by the RGui (as seen when typing memory_limit()). However, RStudio (Version 0.98.507) ignores this setting and still uses the entire memory of my computer which sometimes leads to crashes of the whole system. How can I limit the amount of memory used by R when running it in RStudio Desktop?










share|improve this question
















I'm aware that there has already been a similar question here, but the answer is out-of-date. The information I've found in the internet refers to RStudio Server rather than Desktop.



I have limited resources on my Windows 7 x64 PC. I've set the environment variable R_MAX_MEM_SIZE and this is accepted by the RGui (as seen when typing memory_limit()). However, RStudio (Version 0.98.507) ignores this setting and still uses the entire memory of my computer which sometimes leads to crashes of the whole system. How can I limit the amount of memory used by R when running it in RStudio Desktop?







r rstudio






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited May 23 '17 at 12:25









Community

11




11










asked May 30 '14 at 8:24









AnjaMAnjaM

1,26532848




1,26532848







  • 1





    you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

    – rischan
    May 30 '14 at 9:19






  • 1





    @rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

    – AnjaM
    May 30 '14 at 9:23






  • 2





    @hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

    – AnjaM
    May 30 '14 at 18:02






  • 1





    @hadley Done: support.rstudio.com/hc/communities/public/questions/…

    – AnjaM
    Jun 3 '14 at 6:49






  • 1





    Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

    – m-dz
    Aug 1 '16 at 9:03












  • 1





    you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

    – rischan
    May 30 '14 at 9:19






  • 1





    @rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

    – AnjaM
    May 30 '14 at 9:23






  • 2





    @hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

    – AnjaM
    May 30 '14 at 18:02






  • 1





    @hadley Done: support.rstudio.com/hc/communities/public/questions/…

    – AnjaM
    Jun 3 '14 at 6:49






  • 1





    Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

    – m-dz
    Aug 1 '16 at 9:03







1




1





you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

– rischan
May 30 '14 at 9:19





you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

– rischan
May 30 '14 at 9:19




1




1





@rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

– AnjaM
May 30 '14 at 9:23





@rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

– AnjaM
May 30 '14 at 9:23




2




2





@hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

– AnjaM
May 30 '14 at 18:02





@hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

– AnjaM
May 30 '14 at 18:02




1




1





@hadley Done: support.rstudio.com/hc/communities/public/questions/…

– AnjaM
Jun 3 '14 at 6:49





@hadley Done: support.rstudio.com/hc/communities/public/questions/…

– AnjaM
Jun 3 '14 at 6:49




1




1





Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

– m-dz
Aug 1 '16 at 9:03





Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

– m-dz
Aug 1 '16 at 9:03












3 Answers
3






active

oldest

votes


















0














If I'm not mistaken, by default the limit on Windows is 4GB. You cans use the cmd proposed by @rischan but with minor modification : rstudio.exe --max-mem-size=8GB.



For information do not forget to clean the cache when starting the execution of a new script. For this use the following cmd :



 rm(list=ls()) --> for clean your environment
gc() --> for launch the ''garbage collection''





share|improve this answer






























    0














    If your question is how to prevent R from crashing when it reaches the memory limit rather than figuring out why memory_limit() does not work, here are a few options.



    If memory_limit()
    does not allow you to limit the memory on Windows:



    • Check that your version of Windows matches with your version of R (not Rstudio). I.E. if you have a windows x64bits, check that Rstudio is running on R x64bits. This can be done using Sys.getenv("R_ARCH").

    • Clean your environment with rm(list=ls()) to get rid of previously stored datasets and functions.

    • Close Rstudio and R. Press WINDOWS + R, this opens a Run window. Write cmd and press enter. Navigate to this directory C:Program FilesRStudiobin then start rstudio.exe using cd. You may need to adapt this depending on where your RStudio folder is located on your computer. Then write --max-mem-size=4GB and press enter. You will need to repeat this every time you want to start an R session. This may not work on every computer.

    • Most computers can handle more memory than what is previously installed. Check what is the maximum memory capacity that your computer can handle, and consider buying more physical RAM.

    • Press Ctrl+Alt+Del and select task manager. Under Processes, check which program is using significant amounts of memory and whether you can end them safely. Windows users tend to accumulate unnecessary programs.





    share|improve this answer
































      0














      This works for my PC :



       # Check memory limit
      memory.limit()
      # Change memory limit
      memory.limit(size = 15000)





      share|improve this answer























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        3 Answers
        3






        active

        oldest

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        active

        oldest

        votes






        active

        oldest

        votes









        0














        If I'm not mistaken, by default the limit on Windows is 4GB. You cans use the cmd proposed by @rischan but with minor modification : rstudio.exe --max-mem-size=8GB.



        For information do not forget to clean the cache when starting the execution of a new script. For this use the following cmd :



         rm(list=ls()) --> for clean your environment
        gc() --> for launch the ''garbage collection''





        share|improve this answer



























          0














          If I'm not mistaken, by default the limit on Windows is 4GB. You cans use the cmd proposed by @rischan but with minor modification : rstudio.exe --max-mem-size=8GB.



          For information do not forget to clean the cache when starting the execution of a new script. For this use the following cmd :



           rm(list=ls()) --> for clean your environment
          gc() --> for launch the ''garbage collection''





          share|improve this answer

























            0












            0








            0







            If I'm not mistaken, by default the limit on Windows is 4GB. You cans use the cmd proposed by @rischan but with minor modification : rstudio.exe --max-mem-size=8GB.



            For information do not forget to clean the cache when starting the execution of a new script. For this use the following cmd :



             rm(list=ls()) --> for clean your environment
            gc() --> for launch the ''garbage collection''





            share|improve this answer













            If I'm not mistaken, by default the limit on Windows is 4GB. You cans use the cmd proposed by @rischan but with minor modification : rstudio.exe --max-mem-size=8GB.



            For information do not forget to clean the cache when starting the execution of a new script. For this use the following cmd :



             rm(list=ls()) --> for clean your environment
            gc() --> for launch the ''garbage collection''






            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Jul 4 '18 at 12:30









            NivekNivek

            86




            86























                0














                If your question is how to prevent R from crashing when it reaches the memory limit rather than figuring out why memory_limit() does not work, here are a few options.



                If memory_limit()
                does not allow you to limit the memory on Windows:



                • Check that your version of Windows matches with your version of R (not Rstudio). I.E. if you have a windows x64bits, check that Rstudio is running on R x64bits. This can be done using Sys.getenv("R_ARCH").

                • Clean your environment with rm(list=ls()) to get rid of previously stored datasets and functions.

                • Close Rstudio and R. Press WINDOWS + R, this opens a Run window. Write cmd and press enter. Navigate to this directory C:Program FilesRStudiobin then start rstudio.exe using cd. You may need to adapt this depending on where your RStudio folder is located on your computer. Then write --max-mem-size=4GB and press enter. You will need to repeat this every time you want to start an R session. This may not work on every computer.

                • Most computers can handle more memory than what is previously installed. Check what is the maximum memory capacity that your computer can handle, and consider buying more physical RAM.

                • Press Ctrl+Alt+Del and select task manager. Under Processes, check which program is using significant amounts of memory and whether you can end them safely. Windows users tend to accumulate unnecessary programs.





                share|improve this answer





























                  0














                  If your question is how to prevent R from crashing when it reaches the memory limit rather than figuring out why memory_limit() does not work, here are a few options.



                  If memory_limit()
                  does not allow you to limit the memory on Windows:



                  • Check that your version of Windows matches with your version of R (not Rstudio). I.E. if you have a windows x64bits, check that Rstudio is running on R x64bits. This can be done using Sys.getenv("R_ARCH").

                  • Clean your environment with rm(list=ls()) to get rid of previously stored datasets and functions.

                  • Close Rstudio and R. Press WINDOWS + R, this opens a Run window. Write cmd and press enter. Navigate to this directory C:Program FilesRStudiobin then start rstudio.exe using cd. You may need to adapt this depending on where your RStudio folder is located on your computer. Then write --max-mem-size=4GB and press enter. You will need to repeat this every time you want to start an R session. This may not work on every computer.

                  • Most computers can handle more memory than what is previously installed. Check what is the maximum memory capacity that your computer can handle, and consider buying more physical RAM.

                  • Press Ctrl+Alt+Del and select task manager. Under Processes, check which program is using significant amounts of memory and whether you can end them safely. Windows users tend to accumulate unnecessary programs.





                  share|improve this answer



























                    0












                    0








                    0







                    If your question is how to prevent R from crashing when it reaches the memory limit rather than figuring out why memory_limit() does not work, here are a few options.



                    If memory_limit()
                    does not allow you to limit the memory on Windows:



                    • Check that your version of Windows matches with your version of R (not Rstudio). I.E. if you have a windows x64bits, check that Rstudio is running on R x64bits. This can be done using Sys.getenv("R_ARCH").

                    • Clean your environment with rm(list=ls()) to get rid of previously stored datasets and functions.

                    • Close Rstudio and R. Press WINDOWS + R, this opens a Run window. Write cmd and press enter. Navigate to this directory C:Program FilesRStudiobin then start rstudio.exe using cd. You may need to adapt this depending on where your RStudio folder is located on your computer. Then write --max-mem-size=4GB and press enter. You will need to repeat this every time you want to start an R session. This may not work on every computer.

                    • Most computers can handle more memory than what is previously installed. Check what is the maximum memory capacity that your computer can handle, and consider buying more physical RAM.

                    • Press Ctrl+Alt+Del and select task manager. Under Processes, check which program is using significant amounts of memory and whether you can end them safely. Windows users tend to accumulate unnecessary programs.





                    share|improve this answer















                    If your question is how to prevent R from crashing when it reaches the memory limit rather than figuring out why memory_limit() does not work, here are a few options.



                    If memory_limit()
                    does not allow you to limit the memory on Windows:



                    • Check that your version of Windows matches with your version of R (not Rstudio). I.E. if you have a windows x64bits, check that Rstudio is running on R x64bits. This can be done using Sys.getenv("R_ARCH").

                    • Clean your environment with rm(list=ls()) to get rid of previously stored datasets and functions.

                    • Close Rstudio and R. Press WINDOWS + R, this opens a Run window. Write cmd and press enter. Navigate to this directory C:Program FilesRStudiobin then start rstudio.exe using cd. You may need to adapt this depending on where your RStudio folder is located on your computer. Then write --max-mem-size=4GB and press enter. You will need to repeat this every time you want to start an R session. This may not work on every computer.

                    • Most computers can handle more memory than what is previously installed. Check what is the maximum memory capacity that your computer can handle, and consider buying more physical RAM.

                    • Press Ctrl+Alt+Del and select task manager. Under Processes, check which program is using significant amounts of memory and whether you can end them safely. Windows users tend to accumulate unnecessary programs.






                    share|improve this answer














                    share|improve this answer



                    share|improve this answer








                    edited Jul 6 '18 at 1:46

























                    answered Jul 6 '18 at 1:12









                    NakxNakx

                    432317




                    432317





















                        0














                        This works for my PC :



                         # Check memory limit
                        memory.limit()
                        # Change memory limit
                        memory.limit(size = 15000)





                        share|improve this answer



























                          0














                          This works for my PC :



                           # Check memory limit
                          memory.limit()
                          # Change memory limit
                          memory.limit(size = 15000)





                          share|improve this answer

























                            0












                            0








                            0







                            This works for my PC :



                             # Check memory limit
                            memory.limit()
                            # Change memory limit
                            memory.limit(size = 15000)





                            share|improve this answer













                            This works for my PC :



                             # Check memory limit
                            memory.limit()
                            # Change memory limit
                            memory.limit(size = 15000)






                            share|improve this answer












                            share|improve this answer



                            share|improve this answer










                            answered Feb 21 at 11:44









                            adjustedR2adjustedR2

                            1413




                            1413



























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