Recently I have been attempting to install a software package automatically over a moderately sized computer network for a university lab. The package is aspenOne v8.4. I have tried creating response files, but every time I finish the install I am unable to locate the response file. I included the f1 flag option to specify file location and name, and I have also checked the %systemroot% directory as well, to no avail. I do not believe one is being created. I have also tried creating a response file for the msi package included on the disc with msiexec, but I was unsuccessful in that path as well. The install requires too much time to install manually across the network, so I was hoping there might be another option to automatically deploy the application package throughout the network. Is there a way to do this?
Thank you in advance.
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I used to use R in RStudio which make it easer to handle.
As I got a bigger data I got access to a HPC of the university through SSH interface (MobaXterm) which could be done using terminal as well.
My problem is my inability to access to the administration, which prevent me from installing packages. And I'm pretty sure that I need to change one of the libraries directory that I don't have access to it.
.libPaths()
[1] "/home/UserIsMe/R/x86_64-pc-linux-gnu-library/4.2"
[2] "/cm/shared/apps/R/4.2.1/lib64/R/library"
Is there any way to change the second directory to mine (like the first).
NB: I found a trouble even when I'm trying to install packages from linux's terminal.
I have a new computer in the same network as the old one. In the new one, I first installed RStudio, then the latest version of R (I hope the order does not matter). Now, the new R installation gets "unable to access index for repository" error for every library. Simple task becomes hours of googling, during which I tried the following:
tick or untick use secure download method for http in global options (was ticked in the old computer)
try different, close my location repositories in global settings
copy the folder of an existing package (like ggplot2) from the old computer to the new one's library folder (does not become visible in packages pane)
uninstall and reinstall R
compare installations (the only difference is that in the old computer, folder RTools is under c:/program files while in the new one I accepted the standard location and folder (c:/Rtools40)
Please note that both computers are in the same corporate network, so the firewall and other network settings are the same.
Finally I found the reason: our company uses an internal repository that mirrors an external one. After inserting a custom repository, everything worked perfectly.
I hope this helps if someone runs to a similar problem.
Thanks everyone for your comments!
I want to follow the advice I've read and heard to have both a main library in R_HOME/library and a user library. I'm using W10 on a desktop machine (not important, except that it gives me a name by which to refer to it), and I can't make R use the user library.
I have succeeded in doing that on a W10 laptop: C:/R/R-4.0.2/library contains some 30 recommended packages, and C:/Users/[username]/Documents/R/win-library/4.0 con contains a much larger number of packages in my user library.
As I recall, and as I wrote down when I did an upgrade on a server, all you have to do to create a site-library is to create a directory called C:/R/R-4.0.2/site-library, and R will use that the next time it starts.
To create a user library, create the directory C:/Users/[username]/Documents/R/win-library/4.0.
That seemed to work on my laptop, for I have seemingly a working R library and a user library there.
That seemed to work on the server, too: I have a library and a site-library.
In both cases, .libPaths() shows the same libraries that I see with Dired on the disk.
I tried to do the same thing on the desktop machine, and i can't make it work.
I created a directory C:/Users/[username]/Documents/R/win-library/4.0, restarted R, and ran .libPaths(); the only directory that was listed was C:/R/R-4.0.2/library.
Because I thought the Documents in that path seemed odd, I tried it again using C:/Users/[username]/R/win-library/4.0, still with no success.
https://cran.r-project.org/doc/manuals/r-release/R-admin.html#Managing-libraries seems pertinent, but I'm not sure how to interpret the output of Sys.getenv("R_LIBL_USER). I get "\\[toplevel]\[nextlevel]\Home$\[username]/R/win-library/4.0", which I presume is a long-winded way to get to /Home$/[username]/R/win-library/4.0 (aka C:/Users/[username]/R/win-library/4.0.
Suggestions? I've tried a number of other suggestions from SO, all to no avail.
I am developing a package and I would like to know what is the best way to execute a script at installation time.
Essentially I want to make sure that third-party tools are installed,
retrieve them when I can and raise an error if some dependency is missing.
I am not referring only to R packages, but also to system-wide headers, fonts and similar dependencies.
What is the best strategy to follow in this case?
Scripts to be run before installation should be placed in an executable file called configure (will be executed on Linux/Unix/Mac computers) or in a file called configure.win (will be executed in Windows computers).
i've been getting up to speed using R of late, and am wondering what the most efficient way is to clone an RStudio environment, especially the package installations, from one machine to another. i'd like to be able to switch from my desktop machine to my laptop, but i am adding packages very frequently to the desktop as i work and would like a simple way to make sure the same packages get installed on the laptop.
any help much appreciated
ps. not everything i'm installing is from CRAN...some are packages taken from github
If you have more than a couple of machine to maintain with the same R configuration, I think you should consider setting up your own local R repository.
And I will just redirect you to another SO question here:
Creating a local R package repository
You can also find the most useful information in the R manual.
Once this is done, you just have to update the local R repository and the packages will be updated on all machines, Windows or Unix
You can just copy and paste the folders in the R libraries between machines. As long as it is the same operating system on both machines there should not be any problem. If you want it to be automatically synchronised then place the R libraries into something like dropbox so that adding or updating a package will automatically appear on either machine with the next sync.