plot.lpca {lmap}

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",
  ycol = "darkgreen",
  xcol = "lightskyblue",
  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)

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)