plot_prob: Plot categorical variable probabilities

In tidySEM: Tidy Structural Equation Modeling

Plot categorical variable probabilities

Description

Creates a bar chart of categorical variable probabilities with bars reflecting the probability of category membership for each category of the observed variable.

Usage

plot_prob(
  x,
  variables = NULL,
  bars = c("Variable", "group", "class"),
  facet = c("group", "class", "Variable"),
  bw = FALSE,
  ...
)

Arguments

x	An object for which a method exists
variables	A character vectors with the names of the variables to be plotted (optional).
bars	Atomic character, indicating what separate bars represent. One of 'c("Variable", "group", "class")'.
facet	Atomic character, indicating what separate facets represent. One of 'c("group", "class", "Variable")'.
bw	Logical. Should the plot be black and white (for print), or color?
...	Arguments passed to and from other functions.

Value

An object of class 'ggplot'.

Author(s)

Caspar J. van Lissa

Examples

df_plot <- data.frame(Variable = rep(c("u1", "u2"), each = 3),
Category = rep(1:3, 2),
Probability = c(0.3381302605812, 0.148395173612088, 0.513474565806711,
0.472337708760608, 0.118484201496432, 0.40917808974296))
plot_prob(df_plot)

tidySEM documentation built on April 15, 2022, 1:06 a.m.