Compute (Weighted) Counts or Percentages for a Categorical Variable

Usage

compute_weighted_count(var, wgt = NULL, na.rm = FALSE, percent = FALSE)

Arguments

var: A column refering to one of the categorical variables in a LIS or LWS data frame.
wgt: A numeric vector of weights (e.g., .x$hpopwgt, .x$pwgt). Must be the same length as x.
na.rm: Logical; if TRUE, missing values in x and w are removed before computation. Default is FALSE.
percent: Logical; if TRUE, computes weighted (or non-weighted) percentages.

Value

A numeric vector, with category labels as names.

Examples

if (FALSE) { # \dontrun{
data <- lissyrtools::lissyuse(data = "de20", vars = c("dhi", "age", "educ"))
compute_weighted_count(data$de20$educ, na.rm = TRUE)
compute_weighted_count(data$de20$educ, percent = TRUE)
compute_weighted_count(data$de20$educ, na.rm = TRUE, percent = TRUE)
compute_weighted_count(data$de20$educ, data$de20$ppopwgt, na.rm = TRUE, percent = TRUE)
compute_weighted_count(data$de20$educ, data$de20$ppopwgt, percent = TRUE)
} # }