lmap (version 0.1.3)

plot.lpca: Plots a Logistic PCA Model

Description

Plots a Logistic PCA Model

Usage

# S3 method for lpca
plot(
  x,
  dims = c(1, 2),
  type = "H",
  ycol = "darkgreen",
  xcol = "lightskyblue",
  ocol = "grey",
  ...
)

Value

Plot of the results obtained from lpca

Arguments

x

an object of type lpca

dims

which dimensions to visualize

type

either H (hybrid), I (inner product/pca), or D (distance/melodic)

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.

Examples

if (FALSE) {
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)
}