auto_plot: Automatically plot features across clusters

In metasnf: Meta Clustering with Similarity Network Fusion

Automatically plot features across clusters

Description

Given a single row of a solutions data frame and data provided through a data list, this function will return a series of bar and/or jitter plots based on feature types.

Usage

auto_plot(
  sol_df_row = NULL,
  dl = NULL,
  cluster_df = NULL,
  return_plots = TRUE,
  save = NULL,
  jitter_width = 6,
  jitter_height = 6,
  bar_width = 6,
  bar_height = 6,
  verbose = FALSE
)

Arguments

sol_df_row	A single row of a solutions data frame.
dl	A data list containing data to plot.
cluster_df	Directly provide a cluster_df rather than a solutions matrix. Useful if plotting data from label propagated results.
return_plots	If TRUE, the function will return a list of plots. If FALSE, the function will instead return the full data frame used for plotting.
save	If a string is provided, plots will be saved and this string will be used to prefix plot names.
jitter_width	Width of jitter plots if save is specified.
jitter_height	Height of jitter plots if save is specified.
bar_width	Width of bar plots if save is specified.
bar_height	Height of bar plots if save is specified.
verbose	If TRUE, output progress to console.

Value

By default, returns a list of plots (class "gg", "ggplot") with one plot for every feature in the provided data list and/or target list. If return_plots is FALSE, will instead return a single "data.frame" object containing every provided feature for every observation in long format.

metasnf documentation built on April 3, 2025, 5:40 p.m.