BiVariAn (version 1.0.3)

auto_pie_categ: Automatic generation of pieplots

Description

Generates pie plots based on categorical variables of a data frame.

Usage

auto_pie_categ(
  data,
  pie_bar_args = list(),
  theme_func = theme_serene_void,
  lang_labs = c("EN", "SPA"),
  statistics = TRUE,
  stat_lab = c("percent", "freq"),
  fill_grey = TRUE
)

Value

Returns a list containing barplots as ggplot2 objects. Objects can be accessed via $ operator.

Arguments

data

Name of the dataframe

pie_bar_args

List of arguments to be passed to "geom_bar"

theme_func

Theme of the generated plots. Default is "theme_serene_void"

lang_labs

Language of displayed labels. If null, default is spanish.

statistics

Logical attribute to indicate if summary statistic parameters are shown.

stat_lab

Statistics to be shown. Can choose if you want to show percentages or frequencies.

fill_grey

Logical indicator to choose if the generated pie plots must be grey. Default is TRUE.

Examples

data <- data.frame(categ = rep(c("Categ1", "Categ2"), 25),
var1 = rbinom(50, 2, prob = 0.3),
var2 = rbinom(50, 2, prob = 0.8),
var3 = rbinom(50, 2, prob = 0.7))
data$categ <- as.factor(data$categ)
data$var1 <- as.factor(data$var1)
data$var2 <- as.factor(data$var2)
data$var3 <- as.factor(data$var3)

pieplot_list <- auto_pie_categ(data = data)

# Call for all listed plots
pieplot_list

# Call for one specific plot
pieplot_list$var1