Difference between revisions of "R"
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So here are the steps you should take. | So here are the steps you should take. | ||
| − | # Download and install the R software, which is available from the [http://cran.rstudio.com/ CRAN] website. Follow the "Download and Install R" link (and do not be tempted to download the source code!) for your operating system. If you have a window OS only choose the "base" package on the following screen. Then follow the usual installation instructions. | + | # Download and install the R software, which is available from the [http://cran.rstudio.com/ CRAN] website. Follow the "Download and Install R" link (and do not be tempted to download the source code!) for your operating system. If you have a window OS only choose the "base" package on the following screen. Then follow the usual installation instructions. You could now already work with R, but we recommend that you first undertake the next step. |
| − | You could now already work with R, but we recommend that you first undertake the next step. | ||
# Once we have installed R, we can download and install RStudio. You can download it from the [http://www.rstudio.com/products/rstudio/download/ RStudio] download page. | # Once we have installed R, we can download and install RStudio. You can download it from the [http://www.rstudio.com/products/rstudio/download/ RStudio] download page. | ||
Revision as of 22:59, 9 January 2015
R is an open source software that has been been adopted by the statistical community as its standard software package. It is a command driven software, meaning that you will have to give the software written commands to indicate what you do. On first sight this is not as convenient as a menu driven software, but it has the huge advantage that you can collect a large set of commands in a file (script file) and then have R execute all these commands in one go. This then serves as a great documentation of the work you have done and most importantly it makes it easy to change a small aspect of your work and rerun the entire project on the press of a button rather than having to laboriously retrace all your steps through menus.
The fixed cost of learning this software is higher than learning a menu driven statistical software package. But if you engage with this process the rewards will be great.
Last not least, R has a killer advantage. It is free!!!
Installing the Software
To work with R you will have to install the basic software package R, but we also advise you to install RStudio, which is an add-on to R (formally called an Integrated Development Environment - IDE) which makes working with R somewhat easier.
As this is open-source software that you get for free it is perhaps understandable that the webpages from which you get the R software aren't as slick as you expect. And the language tends to be somewhat more techy, but don't worry, you'll be fine.
So here are the steps you should take.
- Download and install the R software, which is available from the CRAN website. Follow the "Download and Install R" link (and do not be tempted to download the source code!) for your operating system. If you have a window OS only choose the "base" package on the following screen. Then follow the usual installation instructions. You could now already work with R, but we recommend that you first undertake the next step.
- Once we have installed R, we can download and install RStudio. You can download it from the RStudio download page.
