Even though I duly setwd() (within an R session running in an Emacs/ESS buffer) to the root of my R package and run devtools::load_all() there, when I call a function I find that I am running a version of the function that no longer exists in the present R package. Running rm(<function_name>), followed by source-ing the relevant file, do not help.
Might I perhaps be running a version of the package that I inadvertently installed?, I ask myself. I run lapply(.libPaths(), dir) to answer, but my package does not appear.
What is happening? Where/how is this caching happening?
Update
Running
rm(list=ls())
as described here solved the problem. Although it's not clear what the problem might have been in the first place. An explanation is very welcome.
R caches your global environment in a file .Rdata. Delete it and start a new session.
Related
This question may seem pretty naive and I bag your patience.
I have saved extension.RData and documented it in extension.R. Both of them are saved in /data folder of the R package I am developing.
As I close RStuidio and reload the package, however, I cannot call the data until I execute one of the functions, devtools::document() or devtool::load_all(). Does this suggest that my dataset is not in memory of the package? How could I not to execute devtools every time I start working on the package?
Thank you very much.
As I have understood, you just created files extension.RData, extension.R (with documentation) in your project directory. However, this is not enough for RStudio to be able to reach your data. You have to install the package by running devtools::install() or clicking 'Build & Reload' button on 'Build' tab of RStudio.
Edit: Putting extension.R into R folder solves the problem.
When I am trying to load a clean data in Rstudio, file name called salesClean.RData, I am getting error.
Error message is: ReadItem: unknown type 161, perhaps written by later version of R
Screenshot of error message:
Here is what worked for me:
Simple Solution:
Try to use the tool Load Workspace. It allows you to select the Rds file and load it into memory.
Best Solution:
In some cases you do need to load the file programatically. In these situations you will probably prefer get your R up to date. You can do this by running the code:
install.packages("installr")
require(installr)
updateR()
Also, you can update your installed packages in RStudio on Tools > Check for packages updates.
Make sure that you're using the latest version not only of Rstudio, but R as well. Try sessionInfo() command, it should say that you have R version 3.1.2.
In my case, finally I found it's because the hard disk under my root is full. I freed some disk memory and re-saved the .RDdata file, the load works again.
For me, had a very similar experience to #CcMango, though for me it was because I had run out of session memory. I restarted my Rstudio session with fresh memory and loaded fewer files and that solved it. For similar issues, I've had luck rewriting in batches or querying from other sources too.
I'm building an R package and have run into a perplexing warning during R CMD check:
* checking for missing documentation entries ... WARNING
Undocumented data sets:
‘.Random.seed’
The package has one small data set, which is documented. I'm using R 3.1.1 and RStudio 0.98.1062 on OS X Yosemite, but I get the same error on Windows 7 (and from CRAN). The project also has a vignette that is built with knitr. devtools etc. are all up to date. The file '.Random.seed' doesn't exist in the "data" folder before building, and my reasoning is that it's getting transiently written to disk during the build process by...something. I tried adding '.Random.seed' to .Rbuildignore without success, presumably because it doesn't exist when the build process begins.
Has anyone encountered this before?
Ran into this problem as well. You have almost certainly solved it by now, but I'll post an answer just in case somebody else hits the same problem. At some point, you generated a random number or set the seed in the creation of the Rdata file (or at least that's what happened to me). Simply load the workspace from you data folder, and rm(.Random.seed). Save it. You're done. Easy as pie.
http://www.inside-r.org/r-doc/base/set.seed
I had a similar problem when I was uploading the my.csv dataset, if anyone faces a similar problem the answer is inhere.
I am using R 2.13.0 with windows 7, after giving my user full privileges to the R folder (as described here).
This allows me to install new packages just fine.
However, when using update.packages(), to update existing packages, I keep getting the following error (for example, when updating the MASS package):
package 'MASS' successfully unpacked and MD5 sums checked
Warning: unable to move temporary installation
'C:\Program
Files\R\R-2.13.0\library\file6cae3bcf\MASS'
to 'C:\Program
Files\R\R-2.13.0\library\MASS'
Any suggestions on how to fix this?
p.s: Running R as an administrator or shifting the library location out of Program Files is not a solution (it's a hack - but I am looking for a solution)
I found that the problem indeed is the antivirus "real time file system protection". I do the following to fix the problem:
trace(utils:::unpackPkgZip, edit=TRUE)
I edit line 140 (line 142 in R 3.4.4):
Sys.sleep(0.5)
to:
Sys.sleep(2)
I seems like the antivirus stalls the creation of the package tmp dir. After changing it to 2 seconds the error is gone.
EDIT: to do this programmatically execute
trace(utils:::unpackPkgZip, quote(Sys.sleep(2)), at = which(grepl("Sys.sleep", body(utils:::unpackPkgZip), fixed = TRUE)))
(credits #DavidArenburg)
Just to update everyone, I (think that I) found out the source of the problem: antivirus.
The "real time file system protection" was blocking R from copying the files between folders once they were downloaded.
Upon adding the R directory to the exception list (coupled with adding user permission and installing R on D:\R), and the problem went away. With all of this work, I might as well switch to Linux (I should, really...)
(I updated my post with the above information: http://www.r-statistics.com/2011/04/how-to-upgrade-r-on-windows-7/)
I hope it will help someone in the future,
Tal
If you cannot turn off your antivirus, due to corporate policy for example, here is a workaround that I found. Debugging the unzip package function and then stepping through it gives the antivirus enough time to do its job without interfering. Use this command:
debug(utils:::unpackPkgZip)
install.packages("packageName")
and then step through the code (by pressing enter many times) when R starts debugging during the installation.
I found this solution here.
If you can just download the binary straight from CRAN. On windows when downloaded it will be a zip file. Now manually unzip this into the ..library/ folder of your R (.libPaths()). It worked for me on some packages.
I had this problem installing both swirl and dplyr. I am working on Windows 64-bit.
Warning: unable to move temporary installation
What I did is I accessed my temporary files on the C: drive, and opened my file extractor program and I extracted the files from the temp file in the C: drive to my R program files in the C: drive, by manually copying them. THIS WORKED FOR BOTH dpylr and swirl. Stoked!
Cheers,
Peach
Can you not use the lib.loc parameter to only update packages in your personal library (in user)?
There should be no way to enable a normal, non-augmented user to change files in the program files folder, so the only thing you can do (if you don't want to augment the user) is to have R not updating packages there.
A workaround is to avoid installing R in the program files folder (which may be more or less of a hack than just shifting the library location out of it, depending on your point of view).
Finally, if lib.loc doesn't cut it, you can look at the source code for update.packages and create your own customized version that will always avoid the common library location in program files.
I just met the same question, and the solution I found out was that you should install packages using the original R software (plus, you should choose the right mirror site, some of them are blocked). At first I used Rstudio to install packages and I got the same problem as you met. Hope this is helpful.
I have run into this error several times. In my own case, it is because our admins want us to use remote virtual disks (on Windows 7) for our files and everything is locked up tight as a drum. The only way I can use R packages is in a lib directory on that remote virtual disk. This wouldn't be a problem except that the network isn't always smooth and fast. Thus, when I need a package, especially one with several other packages in tow (e.g., MBESS), I either have to go through the get.packages() process multiple times until it finally finishes or make it IT's headache to do quick like the bunny for me. I can't always wait for IT.
I just went to the library folder (Windows XP) and deleted all fileXXXX folders. Reran the install an it is worked.
I had the same problem. Since the issue seems to be the antivirus blocking the transf of a downloaded file, I tried a different download method in the install.packages and it worked.
For example:
install.packages("stringr", method = "curl")
You must go into the properties of the R folder and change the security parameters. You can enable the option to write and modify for all users.
The error : "unable to move temporary installation" is basically arising due to any of the antivirus running on your system.
Try unzipping the downloaded file from the Temp folder into the default library path (you can get it by running .libPaths() in R session).
I'm using a MRAN and I was having so many versioning issues. Trying to work with tidyverse and ggplot2 and by upgrading to the latest version from Microsoft it solved all of my R-Studio versioning issues.
Version info:
Microsoft R Open 3.5.1
The enhanced R distribution from Microsoft
Default CRAN mirror snapshot taken on 2018-08-01.
Download Microsoft R Open 3.5.1
I am using R 2.13.0 with windows 7, after giving my user full privileges to the R folder (as described here).
This allows me to install new packages just fine.
However, when using update.packages(), to update existing packages, I keep getting the following error (for example, when updating the MASS package):
package 'MASS' successfully unpacked and MD5 sums checked
Warning: unable to move temporary installation
'C:\Program
Files\R\R-2.13.0\library\file6cae3bcf\MASS'
to 'C:\Program
Files\R\R-2.13.0\library\MASS'
Any suggestions on how to fix this?
p.s: Running R as an administrator or shifting the library location out of Program Files is not a solution (it's a hack - but I am looking for a solution)
I found that the problem indeed is the antivirus "real time file system protection". I do the following to fix the problem:
trace(utils:::unpackPkgZip, edit=TRUE)
I edit line 140 (line 142 in R 3.4.4):
Sys.sleep(0.5)
to:
Sys.sleep(2)
I seems like the antivirus stalls the creation of the package tmp dir. After changing it to 2 seconds the error is gone.
EDIT: to do this programmatically execute
trace(utils:::unpackPkgZip, quote(Sys.sleep(2)), at = which(grepl("Sys.sleep", body(utils:::unpackPkgZip), fixed = TRUE)))
(credits #DavidArenburg)
Just to update everyone, I (think that I) found out the source of the problem: antivirus.
The "real time file system protection" was blocking R from copying the files between folders once they were downloaded.
Upon adding the R directory to the exception list (coupled with adding user permission and installing R on D:\R), and the problem went away. With all of this work, I might as well switch to Linux (I should, really...)
(I updated my post with the above information: http://www.r-statistics.com/2011/04/how-to-upgrade-r-on-windows-7/)
I hope it will help someone in the future,
Tal
If you cannot turn off your antivirus, due to corporate policy for example, here is a workaround that I found. Debugging the unzip package function and then stepping through it gives the antivirus enough time to do its job without interfering. Use this command:
debug(utils:::unpackPkgZip)
install.packages("packageName")
and then step through the code (by pressing enter many times) when R starts debugging during the installation.
I found this solution here.
If you can just download the binary straight from CRAN. On windows when downloaded it will be a zip file. Now manually unzip this into the ..library/ folder of your R (.libPaths()). It worked for me on some packages.
I had this problem installing both swirl and dplyr. I am working on Windows 64-bit.
Warning: unable to move temporary installation
What I did is I accessed my temporary files on the C: drive, and opened my file extractor program and I extracted the files from the temp file in the C: drive to my R program files in the C: drive, by manually copying them. THIS WORKED FOR BOTH dpylr and swirl. Stoked!
Cheers,
Peach
Can you not use the lib.loc parameter to only update packages in your personal library (in user)?
There should be no way to enable a normal, non-augmented user to change files in the program files folder, so the only thing you can do (if you don't want to augment the user) is to have R not updating packages there.
A workaround is to avoid installing R in the program files folder (which may be more or less of a hack than just shifting the library location out of it, depending on your point of view).
Finally, if lib.loc doesn't cut it, you can look at the source code for update.packages and create your own customized version that will always avoid the common library location in program files.
I just met the same question, and the solution I found out was that you should install packages using the original R software (plus, you should choose the right mirror site, some of them are blocked). At first I used Rstudio to install packages and I got the same problem as you met. Hope this is helpful.
I have run into this error several times. In my own case, it is because our admins want us to use remote virtual disks (on Windows 7) for our files and everything is locked up tight as a drum. The only way I can use R packages is in a lib directory on that remote virtual disk. This wouldn't be a problem except that the network isn't always smooth and fast. Thus, when I need a package, especially one with several other packages in tow (e.g., MBESS), I either have to go through the get.packages() process multiple times until it finally finishes or make it IT's headache to do quick like the bunny for me. I can't always wait for IT.
I just went to the library folder (Windows XP) and deleted all fileXXXX folders. Reran the install an it is worked.
I had the same problem. Since the issue seems to be the antivirus blocking the transf of a downloaded file, I tried a different download method in the install.packages and it worked.
For example:
install.packages("stringr", method = "curl")
You must go into the properties of the R folder and change the security parameters. You can enable the option to write and modify for all users.
The error : "unable to move temporary installation" is basically arising due to any of the antivirus running on your system.
Try unzipping the downloaded file from the Temp folder into the default library path (you can get it by running .libPaths() in R session).
I'm using a MRAN and I was having so many versioning issues. Trying to work with tidyverse and ggplot2 and by upgrading to the latest version from Microsoft it solved all of my R-Studio versioning issues.
Version info:
Microsoft R Open 3.5.1
The enhanced R distribution from Microsoft
Default CRAN mirror snapshot taken on 2018-08-01.
Download Microsoft R Open 3.5.1