select_pca: Apply principal components analysis

Description Usage Arguments Value

Description

Apply principal components analysis

Usage

1
select_pca(data, min_pve = 1, scale = TRUE)

Arguments

data

A feature matrix, rows are samples and columns are features.

min_pve

Minimum of percentage of variance explained by the selected principal components.

scale

A logical value indicating wether the data is normalized before PCA.

Value

A features matrix with only selected principal components.


agapow/subtypr documentation built on May 5, 2019, 1:33 a.m.