plot_mosaic: Plot a mosaic plot of population frequencies.

In riskyr: Rendering Risk Literacy more Transparent

Plot a mosaic plot of population frequencies.

Description

plot_mosaic drew a mosaic plot that represents the proportions of frequencies in the current population as relatives sizes of rectangular areas.

Usage

plot_mosaic(
  prev = num$prev,
  sens = num$sens,
  mirt = NA,
  spec = num$spec,
  fart = NA,
  N = num$N,
  by = "cddc",
  show_accu = TRUE,
  w_acc = 0.5,
  title_lbl = txt$scen_lbl,
  col_sdt = c(pal["hi"], pal["mi"], pal["fa"], pal["cr"])
)

Arguments

prev	The condition's prevalence prev.
sens	The decision's sensitivity sens.
mirt	The decision's miss rate mirt.
spec	The decision's specificity value spec.
fart	The decision's false alarm rate fart.
N	The number of individuals in the population.
by	A character code specifying the perspective (or categories by which the population is split into subsets) with 3 options: "cddc" ... by condition x decision; "dccd" ... by decision x condition; "cdac" ... by condition x accuracy.
show_accu	Option for showing current and exact accuracy metrics accu in the plot.
w_acc	Weighting parameter w used to compute weighted accuracy.
title_lbl	Text label for current plot title.
col_sdt	Colors for cases of 4 essential frequencies. Default: col_sdt = c(pal["hi"], pal["mi"], pal["fa"], pal["cr"]).

Details

plot_mosaic is deprecated – please use plot_area instead.

See Also

plot_area is the new version of this function.

Other visualization functions: plot.riskyr(), plot_area(), plot_bar(), plot_crisk(), plot_curve(), plot_fnet(), plot_icons(), plot_plane(), plot_prism(), plot_tab(), plot_tree()

Examples

plot_mosaic()  # plot with default options

riskyr documentation built on Aug. 15, 2022, 9:09 a.m.