Download

The R version of the CTL mapping software is available via Cran, first download and install R (see here for more help). After installation of R, open an R terminal and install the ctl package by:

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")

About R

R is an open-source implementation of the S language.
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Described on the R project homepage:
"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).

Access the source code

The source code is available at Github

Contributors

Contact for problems/questions/suggestions: Danny Arends (Danny.Arends at Gmail.com)
(c) 2011 - Groningen Bioinformatics Centre :
Danny Arends - www.dannyarends.nl, Pjotr Prins - www.thebird.nl, and Ritsert C. Jansen - www.rug.nl/gbic