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I was thinking of running SAS commands in R since the SAS version I have is incompatible with my windows. The windows I had was windows 7 and decided to upgrade to 8.1,
Is it possible?
No. In your situation it isn't possible. If you had a working installation of SAS you might be able to connect them through system calls but if SAS isn't working then you can't just run SAS code from within R.
You'll either need to get SAS working on your computer or just run R code.
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I have a R script written for some analytical application. I wanted to make it as launch-able service which can run run periodically on Cloudera cluster. I know for Python we can run it via spark-submit but I need it for R.
Any help or pointers would be appreciated.
Same as Python or Scala or Java programs, SparkR programs can be submitted via spark-submit:
spark-submit /path/to/your/script.R
so you can use the same methods that you'd use for any other supported language.
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I am trying to benchmark some R code, which will be run on several machines with very different levels of perforamnce to more fully understand its behavior. I am writing log files, but I would like to include in those log files the system specifications of the machine running the code. Sys.info() does not provide the information I'm looking for which would be things like available RAM, processor type, etc. Is there an alternate command or package I should look at to get this information?
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I was wondering whether scp like:
scp localmachine/path_to_the_file username#server_ip:/path_to_remote_directory
is possible using R code? In other words, for copy a file in local machine in R, one could use file.copy, what are the R possibilities to copy file from local machine to a remote machine?
there is package ssh.utils which wraps ssh commands in R functions.
So your example would become:
library(ssh.utils)
cp.remote(remote.src = "",
remote.dest = "username#server_ip",
path.src = "localmachine/path_to_the_file",
path.dest = "path_to_remote_directory")
EDIT: I could install it but anyway it's not very flexible as it does not accept options...
With a system command this would be just:
system("scp localmachine/path_to_the_file username#server_ip:/path_to_remote_directory")
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I wrote a simple R program and want to share it with my office. Most people in my office are not familiar with R and I imagine it could be kind of confusing for them to install R and all the required packages.
Is there an easy way I can share an R script that can take user inputs & share output that doesn't require R installation on the user's end? I'm thinking something like Shiny, but for desktop use.
Your users can run R in an R jupyter notebook that you have set up in advance on some server. Then it's not a "desktop app" per se but it's going to look like it is running in their local web browser like Firefox or Chrome etc. Sharing R code you wrote will work excellently this way.
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I installed the latest version of R 3.2.4 and I used to run the RRE version of R (based on R 3.2.1). I want to ask if there is anything I can do to make the RRE functions run on a R 3.2.4 ?
RRE installs are based off a specific version of the underlying R runtime. You'll have to use the version of R that was originally installed until a new release of Microsoft R Server (the rebranded Revolution R Enterprise) comes out, unfortunately.