R Package list for Social Science and Networks

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Contents

[edit] Essential - http://rweb.stat.umn.edu/R/doc/html/packages.html

Base – The R base (automatic) 
Stats - The R Stats Package
Utils - The R Utils Package
Graphics - The R Graphics Package
Datasets - The R Datasets Package
Foreign - Read Data Stored by Minitab, S, SAS, SPSS, Stata, Systat, dBase, ...
GeoDa - Spatial Data Analysis 

(less urgent)

ISwR - Introductory Statistics with R
R.matlab - Read and write of MAT files together with R-to-Matlab connectivity 
R.methodsS3 - Utility functions for defining S3 methods, large datasets

[edit] CONTRIBUTED (CRAN) – Packages needed

(wiki links are to routines that use these packages)
CRAN - new Package - Scagnostics
CRAN - new Package - Gsl Gnu Scientific Library
CRAN - Package gmodels – model fitting
CRAN - Package Spdep – spatial dependency models
CRAN - Package Digest – use of hash function
CRAN - Package Igraph
CRAN – Package Sna – Social network analysis
CRAN – Package Statnet
CRAN - Package Egrm – in Statnet
CRAN - Package Degreenet – in Statnet – can wait, under development

[edit] SPECIAL PACKAGES - listed at http://astro.u-strasbg.fr/~fmurtagh/mda-sw/correspondances/

1. Software in R The R package can be obtained for most computer platforms at the address The R Project for Statistical Computing.

   * Correspondence analysis
         o Correspondence analysis, determining rates of inertia, projections on factors, contributions, and correlations.
         o Supplementary rows.
         o Supplementary columns. 
   * Hierarchical clustering
         o Background details, and examples of use on Intel Windows and Unix systems.
         o All functions in one (standalone) R/S-Plus file (call in R as function hierclust).
         o C source code for the clustering.
           Next a DLL library for use on Intel/Windows systems.
           Alternatively compile on a Unix system to get the object code (cf. "Background details..." above); and
           R/S-Plus script that calls the C code (call in R as function HierClust). 
   * Interpretation aids
         o FACOR - factors and clusters.
         o Print and format FACOR results.
         o VACOR - variables and clusters.
         o VACOR - variables and clusters, supporting C code for clustering.
         o Print and format VACOR results. 
   * Utilities and data
         o Fuzzy or piecewise linear data coding.
         o Plot axes.
         o Data sets to be used with R programs. Currently 3 data sets (but see also the data sets available below that are ready for use with the Java program: these can also be easily prepared for use with the R programs). 

[edit] CONTRIBUTED (CRAN) – not urgent

R.methodsS3 - Utility function for defining S3 methods, large datasets
ISwR - Introductory Statistics with R
Imtest - Testing Linear Regression Models 
boot - Bootstrap R (S-Plus) Functions (Canty)
class - Functions for Classification
Nls – nonlinear models
xtable -Export tables to LaTeX or HTML

See: CRAN Task View: Statistics for the Social Sciences for lots more on the general linear models, categorical, count data, regression, lattices and statistical graphics. etc.

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