select_outliers: Selects the outliers for PCs 1-nPC using a tidy-approach

In BigelowLab/tetramers: Tetramer Analysis with Principle Component Analysis

Selects the outliers for PCs 1-nPC using a tidy-approach

Description

It's a select-and-remove process. First order by PCx. Select the outliers and remove contigs with matching names. Then select a second set of outliers. So we now have 2-low (negative) and 2-high (positive) outliers along axis PCx. With this winnowed data set order by PCy. Select the outliers and remove contigs with matching names. Then select a second set of outliers along this axis. Now we have the same kind of double set.

Usage

select_outliers(X)

Arguments

X	a Tetramers R6 class reference

Value

the input X

BigelowLab/tetramers documentation built on April 3, 2022, 8:22 p.m.