R: Methods for a summary of a 'DPMMclust' object

print.summaryDPMMclust {NPflow} | R Documentation

## 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

[Package NPflow version 0.13.3 Index]