methods.summaryDPMMclust: Methods for a summary of a 'DPMMclust' object

In borishejblum/NPflow: Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data

Methods for a summary of a DPMMclust object

Description

Methods for a summary of a DPMMclust object

Usage

## S3 method for class 'summaryDPMMclust'
print(x, ...)

## S3 method for class 'summaryDPMMclust'
plot(
  x,
  hm = FALSE,
  nbsim_densities = 5000,
  hm_subsample = NULL,
  hm_order_by_clust = TRUE,
  gg.add = list(theme_bw()),
  ...
)

Arguments

x	a summaryDPMMclust object.
...	further arguments passed to or from other methods
hm	logical flag to plot the heatmap of the similarity matrix. Default is FALSE.
nbsim_densities	the number of simulated observations to be used to plot the density lines of the clusters in the point estimate partition plot
hm_subsample	a integer designating the number of observations to use when plotting the heatmap. Used only if hm is TRUE. #'Default is NULL in which no subsampling is done and all observations are plotted.
hm_order_by_clust	logical flag indicating whether observations should be ordered according to the point estimate first. Used only if hm is TRUE. Default is TRUE.
gg.add	a list of instructions to add to the ggplot2 instruction (see gg-add). Default is list(theme()), which adds nothing to the plot.

Author(s)

Boris Hejblum

borishejblum/NPflow documentation built on Feb. 2, 2024, 1:51 a.m.