R: Mixture visualization of a 'PLNmixturefit' object

plot.PLNmixturefit {PLNmodels}

R Documentation

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 `ggplot` object
`...`	Not used (S3 compatibility).

Value

a 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)