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()