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added links on RStudio projects & gitignore
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other.md

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permalink: /other/
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## Configuring R and Rstudio (Linux)
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## Configuring R and RStudio (Linux)
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- [Installing xlsx and XML packages on Debian Wheezy](http://allanino.me/blog/programming/installing-some-r-packages/)
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- [Installing Some Basic R Packages in Ubuntu; Ibrahim El Merehbi]( http://elmerehbi.wordpress.com/2014/09/09/installing-some-basic-r-packages-in-ubuntu)
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- [Installing Some Basic R Packages in Ubuntu; Ibrahim El Merehbi](http://elmerehbi.wordpress.com/2014/09/09/installing-some-basic-r-packages-in-ubuntu)
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- [Using Projects in RStudio](https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects)
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- [Using Version Control with RStudio](https://support.rstudio.com/hc/en-us/articles/200532077-Version-Control-with-Git-and-SVN)
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### Ignoring R & RStudio files
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- [gitignore template for R](https://github.com/github/gitignore/blob/master/R.gitignore) (source:[gitignore](https://github.com/github/gitignore))
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- [Github Help - Using Git / Ignoring files](https://help.github.com/articles/ignoring-files/)
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## Troubleshooting
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- [Windows batch file to work around RStudio startup issues](https://github.com/stepds/contrib-DataScienceSpecialization/blob/master/README.md)
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## Pre-built virtual machines for R development.
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- [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.
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- [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.
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- [Data Science Appliance](http://datascienceappliance.com/) - A perfectly provisioned virtual machine for data scientists.
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