R commander The free program for solving statistics

R commander is an open source program used to make statistics easier to understand with the easy to make graphics and easy to understand programming language. This makes it the perfect for solving statistics. R commander can be installed on Unix/Linux, Windows and Macintosh.

Introduction into the R programming language

The R programming language is very easy to understand and it is widely used among statisticians. The R language supports vectors, variables, functions, expressions, linear and non-linear modeling and much much more. R is the perfect tool for dataminers. More then 40% from all dataminers are using R at the moment.

If you would like to get to know R statistics yourself, then make sure you search the right R tutorials and remember to start from the beginning, even when you have programming experience. The tutorials on this website start with an introduction into R and get more advanced while you continue following the tutorials.

R commander has got a very advanced help system. This helps a lot to understand the R language and how programming in R should be done. How to use the advanced help function is explained in the Help in R tutorial.

R commander programming language for statistics

The R programming language is a populair and easy to use programming langauge used on combination with R commander. R provides a lot of statistical and graphical functions and it is highly extensible. The best thing about R is that it is easy to plot high quality graphics.

I would like to say it one more time: Make sure you understand all the basics from the R language before going deeper into specific language elements like distributions. If you are new with the R programming language or even totally new in programming, then take a look at the following tutorials and make sure you understand them completely before continuing with the more advanced tutorials like basic R statistics. Do not forget to set up a working directory first. How this should be done can be found at "Step 1" on this webpage.:

More advanced R tutorials

Once you have gone through the above mentioned tutorials, you may want to go deeper in the R language by looking in the more advanced tutorials on this website. Note that I wrote the tutorials on my own and that they may contain some errors I overlooked. If you come along an error, please contact me so I can update the tutorial.

Step 1: Set up a working directory

It is important to set up a working directory to work with in R before you get started with following the different R tutorials. Follow the following steps to set up a working directory on the device where you are working on. Know that setting up a working directory is very useful when working on a public computer. Know that it is possible that you may have to set up a new working directory everytime you run R because other people may have changed it on public computers.

  • a. Create a folder where all workspaces may be saved to (preferably in myDocuments, named: "Statistics").
  • b. Open R
  • Select "file", "change dir..", and navigate to the map created above.
  • Select "file", "save workspace.." and save the workspace in your recently created dir.
  • c. The working directory is now saved in the Statistics map created above. If you would like to load your workspace, just double click the file and R will start.

Now that you have set up your working directory you may get started with your first tutorial.

© Copyright Greg Deckers