sgdGMF (version 1.0)

image.sgdgmf: Heatmap of a GMF model

Description

Plots a heatmap of either the data, the fitted values, or the residual values of a GMF model allowing for different types of transformations and normalizations. Moreover, it also permits to plot the latent score and loading matrices.

Usage

# S3 method for sgdgmf
image(
  x,
  ...,
  type = c("data", "response", "link", "scores", "loadings", "deviance", "pearson",
    "working"),
  resid = FALSE,
  symmetric = FALSE,
  transpose = FALSE,
  limits = NULL,
  palette = NULL
)

Value

A ggplot object showing the selected heatmap.

Arguments

x

an object of class sgdgmf

...

further arguments passed to or from other methods

type

the type of data/predictions/residuals which should be returned

resid

if TRUE, plots the residual values

symmetric

if TRUE, symmetrizes the color limits

transpose

if TRUE, transposes the matrix before plotting it

limits

the color limits which should be used

palette

the color-palette which should be used

Examples

# Load the sgdGMF package
library(sgdGMF)

# Generate data from a Poisson model
data = sim.gmf.data(n = 100, m = 20, ncomp = 5, family = poisson())

 # Fit a GMF model
 gmf = sgdgmf.fit(data$Y, ncomp = 3, family = poisson())

# Get the heatmap of a GMF model
image(gmf, type = "data") # original data
image(gmf, type = "response") # fitted values in response scale
image(gmf, type = "scores") # estimated score matrix
image(gmf, type = "loadings") # estimated loading matrix
image(gmf, type = "deviance", resid = TRUE) # deviance residual matrix