pca_biplot3D: PCA 3D biplot

In specmine: Metabolomics and Spectral Data Analysis and Mining

PCA 3D biplot

Description

Creates an interactive 3D PCA biplot using rgl.

Usage

pca_biplot3D(dataset, pca.result, column.class = NULL, pcas = c(1, 2, 3))

Arguments

dataset	Dataset used in the PCA.
pca.result	PCA result object.
column.class	Optional metadata column used for colouring groups.
pcas	Principal components to plot.

Value

No return value, called for its side effect of plotting.

Examples

datamat <- matrix(
  rnorm(20),
  nrow = 4,
  dimnames = list(paste0("x", 1:4), paste0("s", 1:5))
)
metadata <- data.frame(class = factor(c("A", "A", "B", "B", "A")))
dataset <- list(data = datamat, metadata = metadata)
pca_res <- pca_analysis_dataset(dataset)
pca_biplot3D(dataset, pca_res, column.class = "class")

specmine documentation built on Aug. 5, 2026, 5:06 p.m.