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pcadapt

R package {pcadapt} has been developed to detect genetic markers involved in biological adaptation. This package uses statistical tools for outlier detection based on Principal Component Analysis (PCA).

A tutorial for {pcadapt} is available on pcadapt's website.

News: A new paper is finally out describing version 4 of pcadapt (which has been available for quite some time now). Please cite the new paper.

Installation

# From CRAN
install.packages("pcadapt")

# From GitHub
remotes::install_github("bcm-uga/pcadapt")

References

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Version

Install

install.packages('pcadapt')

Monthly Downloads

812

Version

4.3.3

License

GPL (>= 2)

Issues

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Maintainer

Florian Privé

Last Published

May 5th, 2020

Functions in pcadapt (4.3.3)

print_convert

Summary
get.pc

Get the principal component the most associated with a genetic marker
score_plot

Principal Components Analysis Scores Plot
qq_plot

p-values Q-Q Plot
read.pcadapt

File Converter
run.pcadapt

Shiny app
scree_plot

Principal Components Analysis Scree Plot
writeBed

Write PLINK files
vcf2pcadapt

vcfR-based converter
vcf_convert

Convert vcfR genotype matrices
pcadapt

Principal Component Analysis for outlier detection
hist_plot

Neutral Distribution Estimation
bed2matrix

Convert a bed to a matrix
plot.pcadapt

pcadapt visualization tool
ped2pcadapt

Convert ped files
get_statistics

pcadapt statistics
get.score.color

Population colorization
get.pop.names

Retrieve population names
manhattan_plot

Manhattan Plot