Design of Expt. Software in Kubuntu

[krk279]

Hi All,

I am new to KDE, could anyone suggest a DOE software for KDE ?

THanks,
Rama.

[GreyGeek]

http://www.graphpad.com/quickcalcs/

"R" is in the repository.... Here is an example of how to use it in DOE: http://www.r-bloggers.com/ulrike-gro...eriments-in-r/

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 design of R has been heavily influenced by two existing languages: Becker, Chambers & Wilks' S and Sussman's Scheme. Whereas the resulting language is very similar in appearance to S, the underlying implementation and semantics are derived from Scheme.


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, and many of R's core functions do so. The R distribution contains functionality for a large number of statistical procedures and underlying applied math computations. There is also a large set of functions which provide a flexible graphical environment for creating various kinds of data presentations.


Additionally, over thousand extension "packages" are available from CRAN, the Comprehensive R Archive Network, many also as Debian packages, named 'r-cran-<name>'.


This package is a metapackage which eases the transition from the pre-1.5.0 package setup with its larger r-base package. Once installed, it can be safely removed and apt-get will automatically upgrade its components during future upgrades. Providing this package gives a way to users to then only install r-base-core if they so desire.

In the Mathematics sections there are several packages that begin with "r-". Start by installing r-base and and r-base-core, then add others as you think you need them. If the package has "i386)" next to its name it is for 32 bit PCs, otherwise the package is for 64bit PCs.


My favorite math package is SAGE: http://www.sagemath.org/ it is, IMO, an adequate competitor to Mathmatica.

Wiki: http://wiki.sagemath.org/MyStartingPage#Sage_Wiki

[krk279]

Thanks for the information.