pca.screeplot: pca.screeplot

In StefaanVerwimp/Biplot: A customizable correlational biplot function

Description

Plots the percentage of explained variance against the number of the principal component.

Usage

pca.screeplot(data, center = T, scale = F, type = 1)

Arguments

data	The data used to build the screeplot
center	Column centering the data (default = TRUE). If center is TRUE then centering is done by subtracting the column means (omitting NA's) of x from their corresponding columns, and if center is FALSE, no centering is done.
scale	Scaling the data (default = FALSE). If scale is TRUE then scaling is done by dividing the (centered) columns of x by their standard deviations if center is TRUE, and the root mean square otherwise. If scale is FALSE, no scaling is done.
type	Type of screeplot (1 = dots and lines, 2 = barplot)

Examples

     data(iris)
     pca.screeplot(iris[,-5], scale = T)

StefaanVerwimp/Biplot documentation built on Feb. 10, 2021, 9:37 a.m.