specmine (version 4.0.0)

pca_pairs_plot: PCA pairs plot

Description

Creates a pairs plot of PCA scores.

Usage

pca_pairs_plot(
  dataset,
  pca.result,
  column.class = NULL,
  pcas = c(1, 2, 3, 4, 5),
  ...
)

Value

A ggmatrix object.

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 include.

...

Additional arguments passed to GGally::ggpairs().

Examples

# \donttest{
datamat <- matrix(
  rnorm(30),
  nrow = 6,
  dimnames = list(paste0("x", 1:6), 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_pairs_plot(dataset, pca_res, column.class = "class", pcas = 1:3)
# }