plot.PLNmixturefit: Mixture visualization of a 'PLNmixturefit' object

In PLN-team/PLNmodels: Poisson Lognormal Models

Mixture visualization of a PLNmixturefit object

Description

Represent the result of the clustering either by coloring the individual in a two-dimension PCA factor map, or by representing the expected matrix of count reorder according to the clustering.

Usage

## S3 method for class 'PLNmixturefit'
plot(x, type = c("pca", "matrix"), main = NULL, plot = TRUE, ...)

Arguments

x	an R6 object with class PLNmixturefit
type	character for the type of plot, either "pca", for or "matrix". Default is "pca".
main	character. A title for the plot. If NULL (the default), an hopefully appropriate title will be used.
plot	logical. Should the plot be displayed or sent back as ggplot2::ggplot object
...	Not used (S3 compatibility).

Value

a ggplot2::ggplot graphic

Examples

data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
myPLN <- PLNmixture(Abundance ~ 1 + offset(log(Offset)),
           data = trichoptera, control = PLNmixture_param(smoothing = "none"))  %>% getBestModel()
## Not run: 
plot(myPLN, "pca")
plot(myPLN, "matrix")

## End(Not run)

PLN-team/PLNmodels documentation built on April 5, 2025, 12:44 p.m.