Difference between revisions of "Software tutorial/Software installation"
Jump to navigation
Jump to search
Kevin Dunn (talk | contribs) m |
Kevin Dunn (talk | contribs) |
||
| Line 12: | Line 12: | ||
==Windows installation == | ==Windows installation == | ||
{| class="wikitable" | |||
|- | |||
| | |||
# '''Base R package''' | # '''Base R package''' | ||
#* Visit the R-website: http://cran.r-project.org/bin/windows/base/ | #* Visit the R-website: http://cran.r-project.org/bin/windows/base/ | ||
#* Download and install the EXE file linked at the top of the page. | #* Download and install the EXE file linked at the top of the page. | ||
#* Use the default settings, including the 32-bit option | |||
# '''RStudio, an excellent editor for R''' | # '''RStudio, an excellent editor for R''' | ||
#* Visit the RStudio website http://www.rstudio.com/ide/download/desktop | #* Visit the RStudio website http://www.rstudio.com/ide/download/desktop | ||
#* Save and install the EXE file | #* Save and install the EXE file | ||
| | |||
{{#widget:YouTube|id=mfGFv-iB724}} | |||
Videos are from [http://www.youtube.com/playlist?list=PLjTlxb-wKvXPqyY3FZDO8GqIaWuEDy-Od Rodger Peng's YouTube] channel on R Videos. | |||
He is running a MOOC on [https://class.coursera.org/compdata-002 Computing for Data Analysis] which is running | |||
at the moment on Coursera. | |||
|} | |||
== Mac installation == | == Mac installation == | ||
Revision as of 01:17, 15 January 2013
- Official website: http://www.r-project.org/
- These instructions were update last on 14 January 2013; the R version at that time was version 2.15.2
R is a standalone package. However, to get the most benefit, you must install a good editor side-by-side with R. That means you have to install two software tools today.
- We will install the R software first
- Then we will install R studio as the editor
Windows installation
|
Videos are from Rodger Peng's YouTube channel on R Videos. He is running a MOOC on Computing for Data Analysis which is running at the moment on Coursera. |
Mac installation
- Base R package
- Visit the R-website: http://cran.r-project.org/bin/macosx/
- Download and install the PKG file linked at the top of the page.
- Use all the default settings during the installation.
- R.app will automatically be added to your Applications folder
- RStudio, an excellent editor for R
- Visit the RStudio website http://www.rstudio.com/ide/download/desktop
- Save and open the DMG file; drag the RStudio icon to your Applications folder
Linux installation
- Base R package
- Visit the R-website: http://cran.r-project.org/bin/linux/
- Choose your Linux distribution: Debian, Redhat, Suse or Ubuntu
- Download and install the software in the regular way for your platform
- RStudio, an excellent editor for R
- Visit the RStudio website http://www.rstudio.com/ide/download/desktop
- Save and open the DEB or RPM file and install the software in the regular way for your platform