plot.lpca: Plots a Logistic PCA Model

In lmap: Logistic Mapping

Plots a Logistic PCA Model

Description

Plots a Logistic PCA Model

Usage

## S3 method for class 'lpca'
plot(
  x,
  dims = c(1, 2),
  type = "H",
  pmarkers = seq(0.1, 0.9, by = 0.1),
  ycol = "darkgreen",
  xcol = "darkblue",
  ocol = "grey",
  ...
)

Arguments

x	an object of type lpca
dims	which dimensions to visualize
type	either H (hybrid), I (inner product/pca), or D (distance/melodic)
pmarkers	vector or list of length R (the number of response variables) with values between 0 and 1 for markers on the response variable axes.
ycol	colour for representation of response variables
xcol	colour for representation of predictor variables
ocol	colour for representation of row objects
...	additional arguments to be passed.

Value

Plot of the results obtained from lpca

Examples

## Not run: 
data(dataExample_lpca)
Y = as.matrix(dataExample_lpca[, 1:8])
X = as.matrix(dataExample_lpca[, 9:13])
# unsupervised
output = lpca(Y = Y, S = 2)
plot(output)

## End(Not run)

lmap documentation built on April 3, 2025, 5:47 p.m.