preprocess_pca: Internal function that calculates matrix for principal...

In Meiomap/SureTypeSCR: Library for (single-cell) SNP array processing

Description

Internal function that preprocesses feature matrix for PCA. Output of this function is used in plot_pca(.)

Usage

preprocess_pca(.data,.group,features=c('x','y'))

Arguments

.data	output data frame from scbasic(.) or compatible
.group	formal parameter effective when run under group_by(.) and nest(.) from tidyverse
features	list of columns from the .data data frame that will be used for creation of the feature matrix

Value

matrix formatted for PCA analysis using stats::prcomp(.)

Meiomap/SureTypeSCR documentation built on Dec. 17, 2021, 3:22 a.m.