pca_scoresplot3D: PCA 3D scores plot

In specmine: Metabolomics and Spectral Data Analysis and Mining

PCA 3D scores plot

Description

Creates a static 3D PCA scores plot using scatterplot3d.

Usage

pca_scoresplot3D(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_scoresplot3D(dataset, pca_res, column.class = "class")

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