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pcadapt (version 3.0)

Fast Principal Component Analysis for Outlier Detection

Description

Methods to detect genetic markers involved in biological adaptation. 'pcadapt' provides statistical tools for outlier detection based on Principal Component Analysis.

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Version

Install

install.packages('pcadapt')

Monthly Downloads

821

Version

3.0

License

GPL (>= 2)

Maintainer

Keurcien Luu

Last Published

April 15th, 2016

Functions in pcadapt (3.0)

manhattan.plotting

Manhattan Plot
score.plotting

Principal Components Analysis Scores Plot
scree.plotting

Principal Components Analysis Scree Plot
pvalqq.plotting

p-values Q-Q Plot
read4pcadapt

File Converter
pcadapt

Principal Component Analysis for outlier detection
neutral.plotting

Neutral Distribution Estimation
plot.pcadapt

pcadapt visualization tool
corpca

Principal Component Analysis based on the correlation matrix
pcadapt-package

Principal Component Analysis for Outlier Detection.
compute.pval

Principal Components p-values
create.pcadapt

pcadapt objects
get.score.color

Population colorization