Use of cloud computing to speed up SDM package in R - A virtual machine that you access remotely) on Amazon Cloud, or on Microsoft Azure or on Google Cloud. You can then simply install R the same way as you use it on your local desktop. You connect to your remote machine through SSH or Remote Desktop.

the concept of cloud computing using R programming and RStudio using a step-wise methodology. Furthermore, you will also learn about the benefits of using R over cloud as compared to the traditional desktop or Local client / Server architecture. Python is free just like R, but the main reason R scores is that the statistical library of R packages is far more extensive. SAS remains the leading language for corporate analytics on the desktop but it remains expensive for small enterprises and has a significant disadvantage in capital expenditure commitment because of annual license structure instead of one time licence fee.

RStudio Server edition runs on only Linux. Therefore, we choose  Linux instance on the cloud and then configure R Studio Server. We can then connect to the remote RStudio Server through the browser and use it just the same way.

Here is a step by step way to run RStudio on the cloud.

• Note- We installed R already using sudo yum install R
• Download the RStudio server to your virtual machine and then install RStudio Server
• $ wget http://download2.rstudio.org/rstudio-server-rhel5-0.99.442-i686.rpm $ sudo yum install --nogpgcheck rstudio-server-rhel5-0.99.442-i686.rpm
• You verify the installation
• $ sudo rstudio-server verify-installation
• You open the 8787 port using the security group in AWS Console(left margin Security Groups) by creating a custom TCP rule (click Edit on the tab below)

Hi,

transferring data is much faster