```
install.packages("ctl")
```

This will pop-up a mirror selection window. Select a mirror close to your own location and wait for the download to finish, then load the package using:

```
library("ctl")
```

Read more...

Described on the R project homepage:

R is freely available for Windows, unix and MacOS, and may be downloaded from the Comprehensive R Archive Network (CRAN). Learning R may require a formidable investment of time, but it will definitely be worth the effort. Numerous free documents on getting started with R are available on CRAN. In addition, several books are available on R, S and S-PLUS; for example, see WN Venables, BD Ripley (2002) Modern Applied Statistics with S (4th ed, Springer) or P Dalgaard (2008) Introductory statistics with R (2nd ed, Springer).

```
"R is a system for statistical computation and graphics. It consists of a language plus a run-time
environment with graphics, a debugger, access to certain system functions, and the ability to run
programs stored in script files.
```

```
The core of R is an interpreted computer language which allows branching and looping as well as
modular programming using functions. Most of the user-visible functions in R are written in R. It
is possible for the user to interface to procedures written in the C, C++, or FORTRAN languages
for efficiency. The R distribution contains functionality for a large number of statistical procedures.
Among these are: linear and generalized linear models, nonlinear regression models, time series
analysis, classical parametric and nonparametric tests, clustering and smoothing. There is also a
large set of functions which provide a flexible graphical environment for creating various kinds of
data presentations. Additional modules are available for a variety of specific purposes."
```

R is freely available for Windows, unix and MacOS, and may be downloaded from the Comprehensive R Archive Network (CRAN). Learning R may require a formidable investment of time, but it will definitely be worth the effort. Numerous free documents on getting started with R are available on CRAN. In addition, several books are available on R, S and S-PLUS; for example, see WN Venables, BD Ripley (2002) Modern Applied Statistics with S (4th ed, Springer) or P Dalgaard (2008) Introductory statistics with R (2nd ed, Springer).

(c) 2011 - Groningen Bioinformatics Centre :

Danny Arends - www.dannyarends.nl, Pjotr Prins - www.thebird.nl, and Ritsert C. Jansen - www.rug.nl/gbic