Models and tests for departure from Hardy-Weinberg equilibrium and
independence between loci.
Fits models for genotypic disequilibria, as described in Huttley and
Wilson (2000), Weir (1996) and Weir and Wilson (1986). Contrast terms
are available that account for first order interactions between loci.
uni- and multivariable geostatistical modelling, prediction and
simulation
variogram modelling; simple, ordinary and universal point or block
(co)kriging, sequential Gaussian or indicator (co)simulation;
variogram and map plotting utility functions.
Classes and methods for handling genetic data. Includes classes to
represent genotypes and haplotypes at single markers up to multiple
markers on multiple chromosomes. Function include allele frequencies,
flagging homo/heterozygotes, flagging carriers of certain alleles,
estimating and testing for Hardy-Weinberg disequilibrium, estimating
and testing for linkage disequilibrium, ...
Climate analysis and downscaling package for monthly and daily data.
The package contains R functions for retrieving data, making climate
analysis and downscaling of monthly mean and daily mean global climate
scenarios.
Combine multi-dimensional arrays. This is a generalization of cbind
and rbind. Takes a sequence of vectors, matrices, or arrays and
produces a single array of the same or higher dimension.
RArcInfo is a package for the R statistical program to import
Arc/Info V7.x binary coverages. It is based on the library Avcelib
written by Daniel Morissette.
Currently, RArcInfo supports most of the file formats stored by these
type of coverages. The geographical information (arcs, polygons,
topological relationships, etc.) are stored using lists, but all the
tables containing related information are imported into a data frame.
Once the desired data are imported, the user can draw maps, even filling
the polygons according to the value of a given covariate. Although R is
not designed for heavy G.I.S. work, this package is very helpful to work
with binary coverages inside R.
Includes HTML function and methods to write in an HTML output.
Thus, making HTML reports is easy. Includes a function that allows
redirection on the fly, which appears to be very usefull for
teaching purpose, as the student can keep a copy of the produced
output to keep all that he/she did during the course
Package comes with a vignette describing how to write HTML reports
for statistical analysis. Finally, a driver for Sweave allows to parse
HTML flat files containing R code and to automatically write the
corresponding outputs (tables and graphs).
Interface between GRASS 5.0 geographical information system
and R, based on starting R from within the GRASS environment
using values of environment variables set in the GISRC file.
Interface examples should be run outside GRASS, others may
be run within. Wrapper and helper functions are provided for
a range of R functions to match the interface metadata
structures.
consists of data sets and functions with our (John Maindonald
and John Braun's) book, Data Analysis and Graphics Using
R, published by Cambridge University Press.
