outlier_PCA: Sample filter based on PCA

In wkl1990/MyPackage: The usually used code for data analysis in my pipeline.

Description

This function remove outliers based on principal component analysis (PCA).

Usage

outlier_PCA(data, trait = NULL, colour = NULL, label = FALSE,
  pcout = 0.3, plot = TRUE)

Arguments

data	Data matrix
trait	Sample information for PCA plot Defaults to NULL
colour	One of the trait for colour in PCA plot Defaults to NULL
label	Whether use the label in PCA plot or not Defaults to FALSE
pcout	The threshold for outliers Defaults to 0.3
plot	Whether output the plot or not Defaults to TRUE

Value

outliers

Author(s)

WKL

Examples

outlier_PCA(data, trait, colour="Gender", pcout=0.3)

wkl1990/MyPackage documentation built on May 26, 2019, 6:36 a.m.