pca_scoresplot3D_rgl: PCA 3D scores plot using rgl

In specmine: Metabolomics and Spectral Data Analysis and Mining

PCA 3D scores plot using rgl

Description

Creates an interactive 3D PCA scores plot.

Usage

pca_scoresplot3D_rgl(
  dataset,
  pca.result,
  column.class = NULL,
  pcas = c(1, 2, 3),
  size = 1,
  labels = FALSE
)

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.
size	Point size.
labels	Logical indicating whether sample labels should be shown.

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_scoresplot3D_rgl(dataset, pca_res, column.class = "class")

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