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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 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'm trying to create a web service for My R Script that takes a CSV as an input and does analytics on it and then returns it. I am a complete beginner at this and have found out a couple of ways for doing this would be to use OpenCPU or Plumber. Is there any advantage of choosing one over the other?
OpenCPU is surely a good option. But, as you mentioned above you are a beginner, thus I will suggest you use Plumber. Plumber is less complex to understand, and it surely is quite powerful to read CSV files and run analytics smoothly.
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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 several Qt based application that I want to open translation permission to other people, but I don't know if there's website that can do that ?
Or what do you suggest for situation like this, I think the maintainer shouldn't maintain translation files by emails.
You could manage your translation files in a repository like Subversion or Git and host them on pages like Sourceforge or GitHub.