I want to install r studio on virtual machine to work with mxnet package.
Here is how to configure Rstudio on microsoft azzure linux virtual machine:
http://moresi.de/posts/2016-04-02-setting-up-r-studio-server-on-microsoft-azure.html
And there is how to install mxnet packages for linux:
https://mxnet.incubator.apache.org/get_started/install.html
My question is: If I will install R-studio and Mxnet package following the step in this 2 tutorial will I be able to use mxnet package from R Studio workspace?
Another question is: It is possible to install all availible r packages in this configuration from R studio workspace?
I know that maybe this is a trivial question, but i am completly new to microsoft azzure, and spend a lot of time looking for an answer on web. Its seems that there wasn't any exemple of using mxnet packages with R on cloud.I would be very grateful even for some tips : )
Yes and no. Yes, you can run mxnet through Rstudio server, I currently do this on my AWS linux instance and login via the browser.
No, you cannot install everything from Rstudio and will have to ssh in and compile/install mxnet and a few other things. Unless you want the CPU mxnet instead of the GPU verion, that might be precompiled. The GPU installation process is a nightmare, I wouldn't recommend unless you have a moderate level of linux experience.
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Recently I've tried to install keras package in R. I ran the following commands:
install.packages("keras") library(keras)
But when I ran is_keras_avalable() I got FALSE.
I was told, that the problem with unsuccessful 'keras' installation may come from the old RStudio version, which is installed on my notebook (I work in RStudio 3.4.0). I was adviced to reinstall RStudio and to get a brand new version.
Could you, please, tell me how to do it? I'd be very pleased if you provide me with the necessary links for installing the latest RStudio version on Windows 8.1.
Thank you for your help.
RStudio is an application (specifically, an Integrated Development Environment, or IDE). This is a common tool for using R, which is a computer language. Much like Microsoft Word is a common tool for writing documents in English (or other languages - and in fact you can use RStudio to write files other languages like RMarkdown, Python, SQL, French, or Swahili.). However, just like you can write English in programs other than Word, you can also write and run R code in programs other than RStudio.
You can find the most recent version on the RStudio website, or you can look in the Help menu and select "Check for updates", which will give you a download link if a newer version is available.
Given the version number you show, 3.4.0, you need to upgrade R (the language), not RStudio (the application). The current RStudio version as I write this is 1.3.*, while the current R version is 4.0.*.
The place you need to go to update R is CRAN - their website has download links for Windows, Mac, and Linux.
I've checked all the resources and tutorials from the internet and it seems all are requiring to install Anaconda just to build the R kernel.
Is there a way to add R kernel to my jupyter notebook without installing Anaconda? If so, how?
Thanks!
I've solved my problem, by installing R into my machine. Upon installing, run the application and I follow this tutorial, by just copying the stated command.
Here's the link for the installation of native R.
There is an r-base package available for the IBM Power9 CPU architecture (ppc64le) on Ubuntu Linux
and I am wondering if R can really be used on this architecture beyond "does-it-run" experiments.
I did use this search engine to find the r-base package:
https://developer.ibm.com/linuxonpower/open-source-pkgs/
Since this architecture is not officially supported by the R consortium: Does anybody successfully use R on this architecture in a production environment?
Edit 1: RStudio Server seems to be running at least within docker (but there is no official support by RStudio):
A Guide to Enable RStudio on IBM Power System
Running RStudio Server on IBM/Power8
Edit 2: I have found this post at r-devel regarding a solved build failure.
I have found an old R package with a .zip extension on my PC.
I would like to run it, but I do not have the tar.gz that was used to
create it and I use linux. What are my options?
Few, essentially.
A .zip package for R is almost surely a binary built for Windows so you need to find a suitable Windows computer -- or emulator -- to use it.
So, this can be done this way:
install wine (wine is not an emulator),
install R for Windows, which you download manually from CRAN
install the zip package using the usual commands (install.packages("filename.zip",source=NULL)). You will probably get error messages for the dependencies, but incrementally installing those, it should work.
I'm trying to build the R package bigmemory for Windows 8 x64. However, when running R CMD INSTALL --build bigmemory_4.4.3.tar.gz, I receive the error ERROR: Unix-only package. I do not know why this is happening, but my guess is that it has something to do with the configure file of the package. I'm using R 3.0.1, 64 bit.
See this link, Windows support has been suspended. It's not your R-version, if you want to make use of it you'll have to use cygwin or install a Linux partition. You can also try the package ff.
The bigmemory NEWS, says "Windows support is temporarily suspended due to issues with the Boost headers." for the most current version of bigmemory.
The package you mention in the comments doesn't depend on a specific version of bigmemory, so you could try to build one of the older versions of bigmemory from the archive.