lapop_stack: LAPOP Stacked Bar Graphs

In lapop: Processing, Visualizing, and Labeling Americas Barometer Data

LAPOP Stacked Bar Graphs

Description

This function shows a stacked bar graph using LAPOP formatting.

Usage

lapop_stack(
  data,
  outcome_var = data$prop,
  prop_labels = data$proplabel,
  var_labels = data$varlabel,
  value_labels = data$vallabel,
  xvar = NULL,
  lang = "en",
  main_title = "",
  subtitle = "",
  source_info = "LAPOP",
  rev_values = FALSE,
  rev_variables = FALSE,
  hide_small_values = TRUE,
  order_bars = FALSE,
  subtitle_h_just = 0,
  fixed_aspect_ratio = TRUE,
  legendnrow = 1,
  color_scheme = c("#2D708E", "#008381", "#C74E49", "#784885", "#a43d6a", "#202020")
)

Arguments

data	Data Frame. Dataset to be used for analysis. The data frame should have columns titled varlabel (name(s)/label(s) of variable(s) of interest; character), vallabel (names/labels of values for each variable; character), prop (outcome variable value; numeric), and proplabel (text of outcome variable value; character). Default: None (must be provided).
outcome_var, prop_labels, var_labels, value_labels	Numeric, character, character, character. Each component of the data to be plotted can be manually specified in case the default columns in the data frame should not be used (if, for example, the values for a given variable were altered and stored in a new column).
xvar	Character. Column name to group the plots by. This should match a column name in the dataset. Default: NULL (no grouping).
lang	Character. Changes default subtitle text and source info to either Spanish or English. Will not translate input text, such as main title or variable labels. Takes either "en" (English) or "es" (Spanish). Default: "en".
main_title	Character. Title of graph. Default: None.
subtitle	Character. Describes the values/data shown in the graph, e.g., "Percent who support...". Default: None.
source_info	Character. Information on dataset used (country, years, version, etc.), which is added to the end of "Source: " in the bottom-left corner of the graph. Default: LAPOP ("Source: LAPOP Lab" will be printed).
rev_values	Logical. Should the order of the values for each variable be reversed? Default: FALSE.
rev_variables	Logical. Should the order of the variables be reversed? Default: FALSE.
hide_small_values	Logical. Should labels for categories with less than 5 percent be hidden? Default: TRUE.
order_bars	Logical. Should categories be placed in descending order for each bar? Default: FALSE. showing the distributions of multiple categorical variables.
subtitle_h_just	Numeric. Move the subtitle/legend text left (negative numbers) or right (positive numbers). Ranges from -100 to 100. Default: 0.
fixed_aspect_ratio	Logical. Should the aspect ratio be set to a specific value (0.35)? This prevents bars from stretching vertically to fit the plot area. Set to false when you have a large number of bars (> 10). Default: TRUE.
legendnrow	Numeric. How many rows for legend labels. Default: 1.
color_scheme	Character. Color of data bars for each value. Allows up to 6 values. Takes hex numbers, beginning with "#". Default: c("#2D708E", "#008381", "#C74E49", "#784885", "#a43d6a","#202020") (navy blue, turquoise, teal, green, sap green, pea soup).

Value

Returns an object of class ggplot, a ggplot stacked bar graph

Author(s)

Luke Plutowski, [e-mail] & Robert Vidigal, [e-mail]

Examples

df <- data.frame(varlabel = c(rep("Politicians can\nidentify voters", 5),
                             rep("Wealthy can\nbuy results", 5),
                             rep("Votes are\ncounted correctly", 5)),
                vallabel = rep(c("Always", "Often", "Sometimes",
                                 "Never", "Other"), 3),
                prop = c(36, 10, 19, 25, 10, 46, 10, 23, 11, 10, 35,
                         10, 32, 13, 10),
                proplabel = c("36%", "10%", "19%", "25%", "10%", "46%",
                              "10%", "23%", "11%", "10%", "35%", "10%",
                              "32%", "13%", "10%"))
require(lapop); lapop_fonts()
lapop_stack(df,
        main_title = "Trust in key features of the electoral process is low in Latin America",
        subtitle = "% believing it happens:",
        source_info = "Source: LAPOP Lab, AmericasBarometer 2019")

lapop documentation built on April 30, 2026, 1:07 a.m.