Merge pull request DataScienceSpecialization#43 from elmerehbi/master

Modified other.md & .gitignore

Author: seankross

.gitignore

@@ -1,2 +1,3 @@
 _site
 .DS_Store
+.Rhistory

other.md

@@ -4,17 +4,22 @@ title: Other Resources
 permalink: /other/
 ---
 
-## Configuring R and Rstudio (Linux)
+## Configuring R and RStudio (Linux)
 
 - [Installing xlsx and XML packages on Debian Wheezy](http://allanino.me/blog/programming/installing-some-r-packages/)
-- [Installing Some Basic R Packages in Ubuntu; Ibrahim El Merehbi]( http://elmerehbi.wordpress.com/2014/09/09/installing-some-basic-r-packages-in-ubuntu)
+- [Installing Some Basic R Packages in Ubuntu; Ibrahim El Merehbi](http://elmerehbi.wordpress.com/2014/09/09/installing-some-basic-r-packages-in-ubuntu)
+- [Using Projects in RStudio](https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects)
+- [Using Version Control with RStudio](https://support.rstudio.com/hc/en-us/articles/200532077-Version-Control-with-Git-and-SVN)
 
+### Ignoring R & RStudio files
+- [gitignore template for R](https://github.com/github/gitignore/blob/master/R.gitignore) (source:[gitignore](https://github.com/github/gitignore))
+- [Github Help - Using Git / Ignoring files](https://help.github.com/articles/ignoring-files/)
 
 ## Troubleshooting
 - [Windows batch file to work around RStudio startup issues](https://github.com/stepds/contrib-DataScienceSpecialization/blob/master/README.md)
 
 ## Pre-built virtual machines for R development.
-- [Here's a pre-built lightweight Linux machine with R and Rstudio already installed](https://github.com/queirozfcom/r-box). You just need to install [vagrant](https://www.vagrantup.com/downloads.html), download (or clone) the github repository and you'll get a clean ubuntu machine with the tools you'll need for the assignments. 
+- [Here's a pre-built lightweight Linux machine with R and RStudio already installed](https://github.com/queirozfcom/r-box). You just need to install [vagrant](https://www.vagrantup.com/downloads.html), download (or clone) the github repository and you'll get a clean ubuntu machine with the tools you'll need for the assignments. 
 
 - [Data Science Appliance](http://datascienceappliance.com/) - A perfectly provisioned virtual machine for data scientists.