tidySEM (version 0.2.3)

plot_prob: 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'.

Examples

# NOT RUN {
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)
# }