plot_tree: Plot a tree diagram of frequencies and probabilities.

In riskyr: Rendering Risk Literacy more Transparent

Plot a tree diagram of frequencies and probabilities.

Description

plot_tree drew a tree diagram of frequencies (as nodes) and probabilities (as edges).

Usage

plot_tree(
  prev = num$prev,
  sens = num$sens,
  mirt = NA,
  spec = num$spec,
  fart = NA,
  N = freq$N,
  round = TRUE,
  by = "cd",
  area = "no",
  p_lbl = "num",
  show_accu = TRUE,
  w_acc = 0.5,
  title_lbl = txt$scen_lbl,
  popu_lbl = txt$popu_lbl,
  cond_true_lbl = txt$cond_true_lbl,
  cond_false_lbl = txt$cond_false_lbl,
  dec_pos_lbl = txt$dec_pos_lbl,
  dec_neg_lbl = txt$dec_neg_lbl,
  hi_lbl = txt$hi_lbl,
  mi_lbl = txt$mi_lbl,
  fa_lbl = txt$fa_lbl,
  cr_lbl = txt$cr_lbl,
  col_txt = grey(0.01, alpha = 0.99),
  cex_lbl = 0.85,
  col_boxes = pal,
  col_border = grey(0.33, alpha = 0.99),
  lwd = 1.5,
  box_lwd = 1.5,
  col_shadow = grey(0.11, alpha = 0.99),
  cex_shadow = 0
)

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.
round	A Boolean option specifying whether computed frequencies are rounded to integers. Default: round = TRUE.
by	A character code specifying the perspective (or category by which the population is split into subsets) with 3 options: "cd" ... by condition; "dc" ... by decision; "ac" ... by accuracy.
area	A character code specifying the area of the boxes (or their relative sizes) with 3 options: "no" ... all boxes are shown with the same size; "sq" ... boxes are squares with area sizes scaled proportional to frequencies (default); "hr" ... boxes are horizontal rectangles with area sizes scaled proportional to frequencies.
p_lbl	A character code specifying the type of probability information (on edges) with 4 options: "nam" ... names of probabilities; "num" ... numeric values of probabilities (rounded to 3 decimals, default); "mix" ... names of essential probabilities, values of complements; "min" ... minimal labels: names of essential probabilities.
show_accu	Option for showing current accuracy metrics accu on the margin of the plot.
w_acc	Weighting parameter w used to compute weighted accuracy w_acc in comp_accu_freq. Various other options allow the customization of text labels and colors:
title_lbl	Text label for current plot title.
popu_lbl	Text label for current population popu.
cond_true_lbl	Text label for current cases of cond_true.
cond_false_lbl	Text label for current cases of cond_false.
dec_pos_lbl	Text label for current cases of dec_pos.
dec_neg_lbl	Text label for current cases of dec_neg.
hi_lbl	Text label for hits hi.
mi_lbl	Text label for misses mi.
fa_lbl	Text label for false alarms fa.
cr_lbl	Text label for correct rejections cr.
col_txt	Color for text labels (in boxes).
cex_lbl	Scaling factor for text labels (in boxes and on arrows).
col_boxes	Colors of boxes (a single color or a vector with named colors matching the number of current boxes). Default: Current color information contained in pal.
col_border	Color of borders. Default: col_border = grey(.33, alpha = .99).
lwd	Width of arrows.
box_lwd	Width of boxes.
col_shadow	Color of box shadows. Default: col_shadow = grey(.11, alpha = .99).
cex_shadow	Scaling factor of shadows (values > 0 showing shadows). Default: cex_shadow = 0.

Details

plot_tree is deprecated – please use plot_prism instead.

Value

Nothing (NULL).

See Also

plot_prism 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_mosaic(), plot_plane(), plot_prism(), plot_tab()

Examples

plot_tree()  # frequency tree with current default options (by = "cd")

# alternative perspectives:
plot_tree(by = "dc")  # tree by decision
plot_tree(by = "ac")  # tree by accuracy

# See plot_prism for details and additional options.

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