screeplot: Scree Plot

In dimensio: Multivariate Data Analysis

Scree Plot

Description

Plot eigenvalues (scree plot) or variances histogram.

Usage

## S4 method for signature 'MultivariateAnalysis'
screeplot(
  x,
  ...,
  eigenvalues = FALSE,
  cumulative = FALSE,
  labels = TRUE,
  limit = 10,
  col = "grey90",
  border = "grey10",
  col.cumulative = "red",
  lty.cumulative = "solid",
  lwd.cumulative = 2
)

Arguments

x	A CA, MCA or PCA object.
...	Extra parameters to be passed to graphics::barplot().
eigenvalues	A logical scalar: should the eigenvalues be plotted instead of variance/inertia?
cumulative	A logical scalar: should the cumulative percentages of variance be plotted?
labels	A logical scalar: should text labels be drawn on top of bars?
limit	An integer specifying the number of top elements to be displayed.
col, border	A character string specifying the bars infilling and border colors.
col.cumulative	A specification for the line color.
lty.cumulative	A specification for the line type.
lwd.cumulative	A specification for the line width.

Value

screeplot() is called for its side-effects: it results in a graphic being displayed. Invisibly returns x.

Author(s)

N. Frerebeau

See Also

Other plot methods: biplot(), viz_contributions(), viz_individuals(), viz_variables(), viz_wrap, wrap

Examples

## Load data
data("iris")

## Compute principal components analysis
X <- pca(iris, scale = TRUE)

## Screeplot
screeplot(X)
screeplot(X, cumulative = TRUE)

dimensio documentation built on Nov. 25, 2023, 1:08 a.m.