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What documentation exists for R?

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Chapter 5: R Add-On Packages 25<br />

FLEDA Exploratory Data Analysis <strong>for</strong> FLR.<br />

FactoMineR<br />

Factor analysis and data mining with R.<br />

Fahrmeir Data from the book “Multivariate Statistical Modelling Based on Generalized<br />

Linear Models” by Ludwig Fahrmeir and Gerhard Tutz (1994), Springer.<br />

Flury Data sets from from “A First Course in Multivariate Statistics” by Bernard<br />

Flury (1997), Springer.<br />

FortranCallsR<br />

Simple Fortran/C/R interface example.<br />

FracSim Simulation of one- and two-dimensional fractional and multifractional Levy<br />

motions.<br />

FunCluster<br />

Functional profiling of cDNA microarray expression data.<br />

GAMBoost<br />

Generalized additive models by likelihood based boosting.<br />

GDD Plat<strong>for</strong>m and X11 independent device <strong>for</strong> creating bitmaps (png, gif and jpeg)<br />

using the GD graphics library.<br />

GPArotation<br />

Gradient Projection Algorithm rotation <strong>for</strong> factor analysis.<br />

GRASS An interface between the GRASS geographical in<strong>for</strong>mation system and R,<br />

based on starting R from within the GRASS environment and chosen LOCA-<br />

TION NAME and MAPSET. Wrapper and helper functions are provided <strong>for</strong> a<br />

range of R functions to match the interface metadata structures.<br />

GammaTest<br />

Gamma Test data analysis.<br />

GenKern Functions <strong>for</strong> generating and manipulating generalised binned kernel density<br />

estimates.<br />

GeneCycle<br />

Identification of periodically expressed genes.<br />

GeneNT Relevance or Dependency network and signaling pathway discovery.<br />

GeneNet Modeling and inferring gene networks.<br />

GeneTS A package <strong>for</strong> analysing multiple gene expression time series data. Currently,<br />

implements methods <strong>for</strong> cell cycle analysis and <strong>for</strong> inferring large sparse graphical<br />

Gaussian models.<br />

Geneland MCMC inference from individual genetic data based on a spatial statistical<br />

model.<br />

GeoXP Interactive exploratory spatial data analysis.<br />

GroupSeq Computations related to group-seqential boundaries.

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