lpr_stack: LAPOP Stacked Bar Graph Pre-Processing

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

LAPOP Stacked Bar Graph Pre-Processing

Description

This function creates dataframes which can then be input in lapop_stack() for plotting variables categories with a stacked bar graph using LAPOP formatting.

Usage

lpr_stack(
  data,
  outcome,
  xvar = NULL,
  sort = "y",
  order = "hi-lo",
  filesave = "",
  keep_nr = FALSE
)

Arguments

data	The data that should be analyzed. It requires a survey object from lpr_data() function.
outcome	Vector of variables be plotted.
xvar	Character. Outcome variable will be broken down by this variable. Default is NULL
sort	Character. On what value the bars are sorted: the x or the y. Options are "y" (default; for the value of the outcome variable), "xv" (for the underlying values of the x variable), "xl" (for the labels of the x variable, i.e., alphabetical).
order	Character. How the bars should be sorted. Options are "hi-lo" (default) or "lo-hi".
filesave	Character. Path and file name to save the dataframe as csv.
keep_nr	Logical. If TRUE, will convert "don't know" (missing code .a) and "no response" (missing code .b) into valid data (value = 99) and use them in the denominator when calculating percentages. The default is to examine valid responses only. Default: FALSE.

Value

Returns a data frame, with data formatted for visualization by lapop_stack

Author(s)

Robert Vidigal, [e-mail]

Examples

require(lapop); data(ym23)

# Set Survey Context
ym23lpr<-lpr_data(ym23)

# Multiple outcomes stacked
lpr_stack(data = ym23lpr,
outcome = c("b12", "b18"))

# Single outcome over years
lpr_stack(data = ym23lpr,
outcome = "q14f",
xvar="year")

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