Plotting Dirichlet-Multinomial Mixture Model data

To plot DMN fits generated with mia use plotDMNFit.

plotDMNFit(x, name = "DMN", type = c("laplace", "AIC", "BIC"), ...)

# S4 method for class 'SummarizedExperiment'
plotDMNFit(x, name = "DMN", type = c("laplace", "AIC", "BIC"))

Arguments

x

a SummarizedExperiment object contain the DMN data in metadata.

name

Character scalar. The name to store the result in metadata (Default: "DMN")

type

Character scalar. The type of measure for access the goodness of fit. One of ‘laplace’, ‘AIC’ or ‘BIC’.

...

optional arguments not used.

Value

plotDMNFit returns a ggplot2 plot.

See also

calculateDMN

Examples

library(mia)
library(bluster)

# Get dataset
data("peerj13075", package = "mia")
tse <- peerj13075

# Cluster the samples
tse <- addCluster(tse, DmmParam(k = 1:4), name = "DMM", full = TRUE)

# Plot the fit
plotDMNFit(tse, name = "DMM", type = "laplace")