plotPCA: Generate PCA plot

View source: R/plot_pca.R

plotPCAR Documentation

Generate PCA plot

Description

This function will generate a general 2D scatterplot for a given set of principal components.

Usage

plotPCA(
  pcaObj,
  x = 1,
  y = 2,
  cluster = FALSE,
  nClust = 2,
  metadata = NULL,
  mCol = NULL,
  interactive = FALSE,
  pointColor = "black"
)

Arguments

pcaObj

A PCAResults object containing eigenvalue data ( e.g PC_Datum).

x

Principal component number to plot on x-axis.

y

Principal component number to plot on y-axis.

cluster

Plot points by hierachical clustering groups? Defaults to FALSE.

nClust

Number of clusters to report.

metadata

A data.frame object of additional categorical information for each sample/taxa. Defaults to NULL.

mCol

What metadata column do you want to plot? Needs metadata object to work.

interactive

Do you want to produce an interactive visualization? Defaults to FALSE.

pointColor

color of non-categorical PCA data points.


maize-genetics/rTASSEL documentation built on Nov. 13, 2023, 7:18 a.m.