The Statistical Lab uses the software package R for statistical

computing and visualizing data.

The "R Project for Statistical Computing"

is an Open Source project and is distributed and developed by a worldwide community.

The Statistical Lab is a further development from the lab of the Statistik interaktiv! learning software. The concept of illustrating the workflow of statistical solutions and offering a problem based access to statistics has been adopted and enhanced.

The **"rcore.exe**" and the **"r.dll**" control the communication between the Statistical Lab and R. It transfers the "calls" and accepts the "call-backs".

The R-package is written especially for the Statistical Lab and contains common functions to display graphs and diagrams in the Statistical Lab.

During installation these files are copied into the R directory. The Statistical Lab executes all these files. After having installed the Lab, R will no more work properly as a standalone solution. In case you need to use a standalone version of R aswell, you can download a copy of the official R release from the R-Project's Webpage and do a parallelinstallation.

Previous versions of the Statistical Lab used an interface with a self-maintained S-Plus similar language. At the request of many users we decided to changed to R.

The advantages are:

**Range of features:**In R it is possible to calculate very different and complex statistical phenomena. Especially experts can realize complex statistical calculations with the Statistical Lab.**Popularity:**More and more statisticians accept the language R as a free alternative to S-Plus.**Easy to learn:**Students and lecturers do not have to learn a language, which will not be used after their studies.**Easy introduction to programming in R:**Especially students have problems using the command line to solve statistical problems. The graphical user interface of the Statistical Lab supports the students in constructing their own concepts and solutions.**Extensibility:**Using socalled packages it is easy to extend R. The Statistical Lab supports the integration of official R-Packages. With UserLibs the Statistical Lab can use custom scripts and functions of other users.

Get to know the possibilities of the Statistical Lab:

**Simulating Quincunx (Galton Brett)**

Preview

Open assignment

**Manipulating data**

Preview

Open assignment

**The Monty Hall problem (Ziegenproblem)**

Preview

Open assignment

The Statistical Lab is winner of the swiss, german, austrian Medida-Prix 2003!

Read the jury's justification here (german).