To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("snpStats")

In most cases, you don't need to download the package archive at all.

snpStats

DOI: 10.18129/B9.bioc.snpStats

SnpMatrix and XSnpMatrix classes and methods

Bioconductor version: Release (3.5)

Classes and statistical methods for large SNP association studies. This extends the earlier snpMatrix package, allowing for uncertainty in genotypes.

Author: David Clayton <dc208 at cam.ac.uk>

Maintainer: David Clayton <dc208 at cam.ac.uk>

Citation (from within R, enter citation("snpStats")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("snpStats")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("snpStats")
PDF R Script Data input
PDF R Script Imputation and meta-analysis
PDF R Script LD statistics
PDF R Script Principal components analysis
PDF snpMatrix-differences
PDF R Script snpStats introduction
PDF R Script TDT tests
PDF Reference Manual

Details

Version 1.26.0
In Bioconductor since BioC 2.8 (R-2.13) (6.5 years)
License GPL-3
Depends R (>= 2.10.0), survival, Matrix, methods
Imports graphics, grDevices, stats, utils, BiocGenerics, zlibbioc
LinkingTo
Suggests hexbin
SystemRequirements
Enhances
URL
Depends On Me GGBase, GGdata

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package snpStats_1.26.0.tar.gz
Windows Binary snpStats_1.26.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) snpStats_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/snpStats
Package Downloads Report Download Stats

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