Rscript - Using same R-file, The R terminal behaves different compared to Rstudio











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Problem: Using same R-file, The R terminal behaves different compared to Rstudio.



When running below R-file several times, in Rstudio I get the correct behaviour.




  • First run [count=20], rest of run [count=1].


When running same R-file several times from a terminal, using [Rscript]:




  • First run [count=20], rest of run [count=20].


Wanted behaviour:



I need the R terminal to behave same as R studio , creating counter with value [20] and for the rest of the times put it to value [1].



My environment:



Ubuntu Linux 18.04



R-studio: 1.1.453



Terminal (Bash 4.4.19, R v.3.4.4)



Content of R-file:



setwd ("/tmp-r") # Set working directory.

# Set [count] to 20 if [count] does not exists.
# Set [count] to 1 if [count] exists.
if (!exists('count')) {
count <- 20
} else {
count <- 1
}

save.image() # Save.









share|improve this question


















  • 2




    Somewhat obvious, but could it be that your global environment is contaminated after each consecutive run in RStudio? My point is, if you include rm(list=ls()); gc(reset=TRUE) at the very end of your R script, would it make the rest of run counter be equal to 20 in RStudio like it does in the terminal?
    – 12b345b6b78
    Nov 10 at 21:05






  • 2




    RStudio maintains the same session for each execution. Running Rscript loses the session between calls. You'd need to save the session (save.image() / load()) at the end and beginning of the script to keep the same state.
    – hrbrmstr
    Nov 10 at 21:05










  • I perfomed some tests adding, [load('.Rdata'] at the beginning of the script. It adjust to the correct behaviour in R terminal. However, having the [load] makes Rstudio always loading [value=1] which means I would have to "clean/reset" the count residing in [.RData] before running the script the first time. This for the script to capture that the variable [count] does not exist, thus creating the variable and set it to value [20].
    – Toolbox
    Nov 10 at 21:12












  • @12b345b6b78 You are correct in a way that if adding [rm(list=ls()] and [gc(reset=TRUE)], Rstudio will behave same as R terminal, meaning that in Rstudio the value with be kept to [20] for all the script runs. - However, adding [load('.RData'] below the [rm(list=ls()] and [gc(reset=TRUE)], will make Rstudio behave correctly.
    – Toolbox
    Nov 10 at 21:19










  • I discovered that even if the minified above code works, applying the solution to the expanded script does not work. When doing some tests, it seems that the local [.Rprofile] affect the total solution.
    – Toolbox
    Nov 11 at 13:53















up vote
1
down vote

favorite












Problem: Using same R-file, The R terminal behaves different compared to Rstudio.



When running below R-file several times, in Rstudio I get the correct behaviour.




  • First run [count=20], rest of run [count=1].


When running same R-file several times from a terminal, using [Rscript]:




  • First run [count=20], rest of run [count=20].


Wanted behaviour:



I need the R terminal to behave same as R studio , creating counter with value [20] and for the rest of the times put it to value [1].



My environment:



Ubuntu Linux 18.04



R-studio: 1.1.453



Terminal (Bash 4.4.19, R v.3.4.4)



Content of R-file:



setwd ("/tmp-r") # Set working directory.

# Set [count] to 20 if [count] does not exists.
# Set [count] to 1 if [count] exists.
if (!exists('count')) {
count <- 20
} else {
count <- 1
}

save.image() # Save.









share|improve this question


















  • 2




    Somewhat obvious, but could it be that your global environment is contaminated after each consecutive run in RStudio? My point is, if you include rm(list=ls()); gc(reset=TRUE) at the very end of your R script, would it make the rest of run counter be equal to 20 in RStudio like it does in the terminal?
    – 12b345b6b78
    Nov 10 at 21:05






  • 2




    RStudio maintains the same session for each execution. Running Rscript loses the session between calls. You'd need to save the session (save.image() / load()) at the end and beginning of the script to keep the same state.
    – hrbrmstr
    Nov 10 at 21:05










  • I perfomed some tests adding, [load('.Rdata'] at the beginning of the script. It adjust to the correct behaviour in R terminal. However, having the [load] makes Rstudio always loading [value=1] which means I would have to "clean/reset" the count residing in [.RData] before running the script the first time. This for the script to capture that the variable [count] does not exist, thus creating the variable and set it to value [20].
    – Toolbox
    Nov 10 at 21:12












  • @12b345b6b78 You are correct in a way that if adding [rm(list=ls()] and [gc(reset=TRUE)], Rstudio will behave same as R terminal, meaning that in Rstudio the value with be kept to [20] for all the script runs. - However, adding [load('.RData'] below the [rm(list=ls()] and [gc(reset=TRUE)], will make Rstudio behave correctly.
    – Toolbox
    Nov 10 at 21:19










  • I discovered that even if the minified above code works, applying the solution to the expanded script does not work. When doing some tests, it seems that the local [.Rprofile] affect the total solution.
    – Toolbox
    Nov 11 at 13:53













up vote
1
down vote

favorite









up vote
1
down vote

favorite











Problem: Using same R-file, The R terminal behaves different compared to Rstudio.



When running below R-file several times, in Rstudio I get the correct behaviour.




  • First run [count=20], rest of run [count=1].


When running same R-file several times from a terminal, using [Rscript]:




  • First run [count=20], rest of run [count=20].


Wanted behaviour:



I need the R terminal to behave same as R studio , creating counter with value [20] and for the rest of the times put it to value [1].



My environment:



Ubuntu Linux 18.04



R-studio: 1.1.453



Terminal (Bash 4.4.19, R v.3.4.4)



Content of R-file:



setwd ("/tmp-r") # Set working directory.

# Set [count] to 20 if [count] does not exists.
# Set [count] to 1 if [count] exists.
if (!exists('count')) {
count <- 20
} else {
count <- 1
}

save.image() # Save.









share|improve this question













Problem: Using same R-file, The R terminal behaves different compared to Rstudio.



When running below R-file several times, in Rstudio I get the correct behaviour.




  • First run [count=20], rest of run [count=1].


When running same R-file several times from a terminal, using [Rscript]:




  • First run [count=20], rest of run [count=20].


Wanted behaviour:



I need the R terminal to behave same as R studio , creating counter with value [20] and for the rest of the times put it to value [1].



My environment:



Ubuntu Linux 18.04



R-studio: 1.1.453



Terminal (Bash 4.4.19, R v.3.4.4)



Content of R-file:



setwd ("/tmp-r") # Set working directory.

# Set [count] to 20 if [count] does not exists.
# Set [count] to 1 if [count] exists.
if (!exists('count')) {
count <- 20
} else {
count <- 1
}

save.image() # Save.






r rstudio rscript






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 10 at 21:01









Toolbox

514310




514310








  • 2




    Somewhat obvious, but could it be that your global environment is contaminated after each consecutive run in RStudio? My point is, if you include rm(list=ls()); gc(reset=TRUE) at the very end of your R script, would it make the rest of run counter be equal to 20 in RStudio like it does in the terminal?
    – 12b345b6b78
    Nov 10 at 21:05






  • 2




    RStudio maintains the same session for each execution. Running Rscript loses the session between calls. You'd need to save the session (save.image() / load()) at the end and beginning of the script to keep the same state.
    – hrbrmstr
    Nov 10 at 21:05










  • I perfomed some tests adding, [load('.Rdata'] at the beginning of the script. It adjust to the correct behaviour in R terminal. However, having the [load] makes Rstudio always loading [value=1] which means I would have to "clean/reset" the count residing in [.RData] before running the script the first time. This for the script to capture that the variable [count] does not exist, thus creating the variable and set it to value [20].
    – Toolbox
    Nov 10 at 21:12












  • @12b345b6b78 You are correct in a way that if adding [rm(list=ls()] and [gc(reset=TRUE)], Rstudio will behave same as R terminal, meaning that in Rstudio the value with be kept to [20] for all the script runs. - However, adding [load('.RData'] below the [rm(list=ls()] and [gc(reset=TRUE)], will make Rstudio behave correctly.
    – Toolbox
    Nov 10 at 21:19










  • I discovered that even if the minified above code works, applying the solution to the expanded script does not work. When doing some tests, it seems that the local [.Rprofile] affect the total solution.
    – Toolbox
    Nov 11 at 13:53














  • 2




    Somewhat obvious, but could it be that your global environment is contaminated after each consecutive run in RStudio? My point is, if you include rm(list=ls()); gc(reset=TRUE) at the very end of your R script, would it make the rest of run counter be equal to 20 in RStudio like it does in the terminal?
    – 12b345b6b78
    Nov 10 at 21:05






  • 2




    RStudio maintains the same session for each execution. Running Rscript loses the session between calls. You'd need to save the session (save.image() / load()) at the end and beginning of the script to keep the same state.
    – hrbrmstr
    Nov 10 at 21:05










  • I perfomed some tests adding, [load('.Rdata'] at the beginning of the script. It adjust to the correct behaviour in R terminal. However, having the [load] makes Rstudio always loading [value=1] which means I would have to "clean/reset" the count residing in [.RData] before running the script the first time. This for the script to capture that the variable [count] does not exist, thus creating the variable and set it to value [20].
    – Toolbox
    Nov 10 at 21:12












  • @12b345b6b78 You are correct in a way that if adding [rm(list=ls()] and [gc(reset=TRUE)], Rstudio will behave same as R terminal, meaning that in Rstudio the value with be kept to [20] for all the script runs. - However, adding [load('.RData'] below the [rm(list=ls()] and [gc(reset=TRUE)], will make Rstudio behave correctly.
    – Toolbox
    Nov 10 at 21:19










  • I discovered that even if the minified above code works, applying the solution to the expanded script does not work. When doing some tests, it seems that the local [.Rprofile] affect the total solution.
    – Toolbox
    Nov 11 at 13:53








2




2




Somewhat obvious, but could it be that your global environment is contaminated after each consecutive run in RStudio? My point is, if you include rm(list=ls()); gc(reset=TRUE) at the very end of your R script, would it make the rest of run counter be equal to 20 in RStudio like it does in the terminal?
– 12b345b6b78
Nov 10 at 21:05




Somewhat obvious, but could it be that your global environment is contaminated after each consecutive run in RStudio? My point is, if you include rm(list=ls()); gc(reset=TRUE) at the very end of your R script, would it make the rest of run counter be equal to 20 in RStudio like it does in the terminal?
– 12b345b6b78
Nov 10 at 21:05




2




2




RStudio maintains the same session for each execution. Running Rscript loses the session between calls. You'd need to save the session (save.image() / load()) at the end and beginning of the script to keep the same state.
– hrbrmstr
Nov 10 at 21:05




RStudio maintains the same session for each execution. Running Rscript loses the session between calls. You'd need to save the session (save.image() / load()) at the end and beginning of the script to keep the same state.
– hrbrmstr
Nov 10 at 21:05












I perfomed some tests adding, [load('.Rdata'] at the beginning of the script. It adjust to the correct behaviour in R terminal. However, having the [load] makes Rstudio always loading [value=1] which means I would have to "clean/reset" the count residing in [.RData] before running the script the first time. This for the script to capture that the variable [count] does not exist, thus creating the variable and set it to value [20].
– Toolbox
Nov 10 at 21:12






I perfomed some tests adding, [load('.Rdata'] at the beginning of the script. It adjust to the correct behaviour in R terminal. However, having the [load] makes Rstudio always loading [value=1] which means I would have to "clean/reset" the count residing in [.RData] before running the script the first time. This for the script to capture that the variable [count] does not exist, thus creating the variable and set it to value [20].
– Toolbox
Nov 10 at 21:12














@12b345b6b78 You are correct in a way that if adding [rm(list=ls()] and [gc(reset=TRUE)], Rstudio will behave same as R terminal, meaning that in Rstudio the value with be kept to [20] for all the script runs. - However, adding [load('.RData'] below the [rm(list=ls()] and [gc(reset=TRUE)], will make Rstudio behave correctly.
– Toolbox
Nov 10 at 21:19




@12b345b6b78 You are correct in a way that if adding [rm(list=ls()] and [gc(reset=TRUE)], Rstudio will behave same as R terminal, meaning that in Rstudio the value with be kept to [20] for all the script runs. - However, adding [load('.RData'] below the [rm(list=ls()] and [gc(reset=TRUE)], will make Rstudio behave correctly.
– Toolbox
Nov 10 at 21:19












I discovered that even if the minified above code works, applying the solution to the expanded script does not work. When doing some tests, it seems that the local [.Rprofile] affect the total solution.
– Toolbox
Nov 11 at 13:53




I discovered that even if the minified above code works, applying the solution to the expanded script does not work. When doing some tests, it seems that the local [.Rprofile] affect the total solution.
– Toolbox
Nov 11 at 13:53












1 Answer
1






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oldest

votes

















up vote
0
down vote













With input from comments, I found 2 issues that solves the problem. Both for the minified test-script I published as a question, and my expanded script.



1) Add [load ('RData')], in the beginning since the load behaviour differs between Rstudio and R terminal. Rstudio dynamically update the global environment whenever you send in a change in the Rstudio console. R terminal loses the session between calls and therefor R terminal needs the R-file to start with [load ('RData')].



2) To solve my expanded script, I found out that the local [.Rprofile] has a [save.image('.RData)] at the end of the script. When removing that command in [.Rprofile] it solves the bigger script.






share|improve this answer





















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    up vote
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    With input from comments, I found 2 issues that solves the problem. Both for the minified test-script I published as a question, and my expanded script.



    1) Add [load ('RData')], in the beginning since the load behaviour differs between Rstudio and R terminal. Rstudio dynamically update the global environment whenever you send in a change in the Rstudio console. R terminal loses the session between calls and therefor R terminal needs the R-file to start with [load ('RData')].



    2) To solve my expanded script, I found out that the local [.Rprofile] has a [save.image('.RData)] at the end of the script. When removing that command in [.Rprofile] it solves the bigger script.






    share|improve this answer

























      up vote
      0
      down vote













      With input from comments, I found 2 issues that solves the problem. Both for the minified test-script I published as a question, and my expanded script.



      1) Add [load ('RData')], in the beginning since the load behaviour differs between Rstudio and R terminal. Rstudio dynamically update the global environment whenever you send in a change in the Rstudio console. R terminal loses the session between calls and therefor R terminal needs the R-file to start with [load ('RData')].



      2) To solve my expanded script, I found out that the local [.Rprofile] has a [save.image('.RData)] at the end of the script. When removing that command in [.Rprofile] it solves the bigger script.






      share|improve this answer























        up vote
        0
        down vote










        up vote
        0
        down vote









        With input from comments, I found 2 issues that solves the problem. Both for the minified test-script I published as a question, and my expanded script.



        1) Add [load ('RData')], in the beginning since the load behaviour differs between Rstudio and R terminal. Rstudio dynamically update the global environment whenever you send in a change in the Rstudio console. R terminal loses the session between calls and therefor R terminal needs the R-file to start with [load ('RData')].



        2) To solve my expanded script, I found out that the local [.Rprofile] has a [save.image('.RData)] at the end of the script. When removing that command in [.Rprofile] it solves the bigger script.






        share|improve this answer












        With input from comments, I found 2 issues that solves the problem. Both for the minified test-script I published as a question, and my expanded script.



        1) Add [load ('RData')], in the beginning since the load behaviour differs between Rstudio and R terminal. Rstudio dynamically update the global environment whenever you send in a change in the Rstudio console. R terminal loses the session between calls and therefor R terminal needs the R-file to start with [load ('RData')].



        2) To solve my expanded script, I found out that the local [.Rprofile] has a [save.image('.RData)] at the end of the script. When removing that command in [.Rprofile] it solves the bigger script.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 11 at 14:06









        Toolbox

        514310




        514310






























             

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