lapop_cc: LAPOP Cross-Country Bar Graphs

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

LAPOP Cross-Country Bar Graphs

Description

This function creates bar graphs for comparing values across countries using LAPOP formatting.

Usage

lapop_cc(
  data,
  outcome_var = data$prop,
  lower_bound = data$lb,
  vallabel = data$vallabel,
  upper_bound = data$ub,
  label_var = data$proplabel,
  ymin = 0,
  ymax = 100,
  lang = "en",
  highlight = "",
  main_title = "",
  source_info = "LAPOP",
  subtitle = "",
  sort = "",
  color_scheme = "#784885",
  label_size = 5,
  max_countries = 30,
  label_angle = 0
)

Arguments

data	Data Frame. Dataset to be used for analysis. The data frame should have columns titled vallabel (values of x-axis variable (e.g. pais); character vector), prop (outcome variable; numeric), proplabel (text of outcome variable; character), lb (lower bound of estimate; numeric), and ub (upper bound of estimate; numeric). Default: None (must be supplied).
vallabel, outcome_var, label_var, lower_bound, upper_bound	Character, numeric, character, numeric, numeric. Each component of the plot data 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). x
ymin, ymax	Numeric. Minimum and maximum values for y-axis. Default: 0 to 100.
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".
highlight	Character. Country of interest. Will highlight (make darker) that country's bar. Input must match entry in "vallabel" exactly. Default: None.
main_title	Character. Title of graph. Default: None.
source_info	Character. Information on dataset used (country, years, version, etc.), which is added to the bottom-left corner of the graph. Default: LAPOP ("Source: LAPOP Lab" will be printed).
subtitle	Character. Describes the values/data shown in the graph, e.g., "percentage of Mexicans who say...)". Default: None.
sort	Character. Method of sorting bars. Options: "hi-lo" (highest to lowest y value), "lo-hi" (lowest to highest), "alpha" (alphabetical by vallabel/x-axis label). Default: Order of data frame.
color_scheme	Character. Color of bars. Takes hex number, beginning with "#". Default: #784885.
label_size	Numeric. Size of text for data labels (percentages above bars). Default: 5.
max_countries	Numeric. Threshold for automatic x-axis label rotation. When the number of unique country labels exceeds this value, labels will be rotated for better readability. Default: 20.
label_angle	Numeric. Angle (in degrees) to rotate x-axis labels when max_countries is exceeded. Default: 0.

Value

Returns an object of class ggplot, a ggplot figure showing average values of some variables across multiple countries.

Author(s)

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

Examples

require(lapop); lapop_fonts()

df <- data.frame(
vallabel = c("PE", "CO", "BR", "PN", "GT", "DO", "MX", "BO", "EC"),
prop      = c(36.1, 19.3, 16.6, 13.3, 13.0, 11.1,  9.5,  9.0,  8.1),
proplabel = c("36%" ,"19%" ,"17%" ,"13%" ,"13%" ,"11%" ,"10%", "9%", "8%"),
lb        = c(34.9, 18.1, 15.4, 12.1, 11.8,  9.9,  8.3,  7.8,  6.9),
ub        = c(37.3, 20.5, 17.8, 14.5, 14.2, 12.3, 10.7, 10.2,  9.3)
)
lapop_cc(df,
         main_title = "Normalization of Intimate Partner Violence in LAC Countries",
         subtitle = "% who say domestic violence is private matter",
         source_info = "LAPOP Lab, AmericasBarometer 2021",
         highlight = "PE",
         ymax = 50)

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