dlist.pca: Perform PCA and custom plot

In Mystilivia/SDjoygret: Testing R Package

Description

Perform a PCA analysis on a 3 levels list and create custom plot.

Usage

dlist.pca(dlist, group.spl = NULL, group.var = NULL, legendL = F,
  labels = c("scores", "loadings", "both"), pathL = F, ellipseL = F,
  outliersL = F, ShowPlot = T)

Arguments

dlist	list of three dataframes : [[1]] Datamatrix, [[2]] SamplesMetadata [[3]] VariableMetadata.
group.spl	Factor name used for grouping samples (affect plot only)
group.var	Factor name used for grouping variables (affect plot only)
legendL	Logical for drawing legends
labels	String to show labels on scores, loadings or both plots
pathL	Loadings points size
ellipseL	Logical to show ellipse (0.95 type t which assumes a multivariate t-distribution)
outliersL	Logical to show outliers (below 1 percentile or above 99 percentile)
ShowPlot	Logical to draw plot or not

Value

A list with [1] pca results, [2] plot as grobs.

Examples

dlist.pca()

Mystilivia/SDjoygret documentation built on May 7, 2019, 5:17 p.m.