# r-recommended

GNU R collection of recommended packages [metapackage]

Description

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, several thousand extension "packages" are available from CRAN, the Comprehensive R Archive Network, many also as Debian packages, named 'r-cran-<name>'. This Debian package is now a metapackage that depends on a set of packages that are recommended by the upstream R core team as part of a complete R distribution, and distributed along with the source of R itself, as well as directly via the CRAN network of mirrors. This set comprises the following packages (listed in their upstream names): - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)

- Matrix: Classes and methods for dense and sparse matrices and

operations on them using Lapack and SuiteSparse

- MASS, class, nnet and spatial: packages from Venables and Ripley,

`Modern Applied Statistics with S' (4th edition).

- boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods

and Their Applications" by A.C. Davison and D.V. Hinkley (1997).

- cluster: Functions for clustering (by Rousseeuw et al.)

- codetools: Code analysis tools for R

- foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...

- lattice: Implementation of Trellis (R) graphics

- mgcv: Multiple smoothing parameter estimation and GAMs by GCV

- nlme: Linear and nonlinear mixed effects models

- rpart: Recursive partitioning and regression trees

- survival: Survival analysis, including penalised likelihood.

Homepage

Statistics

1076 other people were interested in this package here. The newest known version of this software is 3.3.1.20161024-1 (Information last updated about 21 hours ago.)

# Upload new screenshots

Thanks for uploading more screenshots. Please note:

- Your screenshot should contain a typical scene when working with it.
- Take only a screenshot of the respective application and not of your whole desktop (unless the screenshot is meant for a window manager).
- Your screenshots must be in PNG format.
- You can upload multiple images at once.
- Your screenshot need to be approved by the moderators first. You will already see your screenshot but it will not be visible to others instantly. If moderators reject your upload you will get notified next time you visit this site (requires cookies).
- Images larger than 800x600 pixels will automatically be reduced. So don't try to capture too much detail in a screenshot. It may become unreadable. Shrink the applications window if possible.
- Screenshots are made public and can freely be used by anyone.
- Useful programs for making screenshots are shutter, ksnapshot (KDE), gimp, xwd or scrot. See the Debian wiki for more information on how to make screenshots under Debian.
- Please set your language to english so that everybody understands it. If you don't use english by default please start your application from a shell using after setting "export LANG=C".