proportions_imputed: Calculate the proportions of each level of a variable after...

In verdata: Analyze Data from the Truth Commission in Colombia

Calculate the proportions of each level of a variable after applying combine_replicates to completed data (includes imputed values).

Description

Calculate the proportions of each level of a variable after applying combine_replicates to completed data (includes imputed values).

Usage

proportions_imputed(complete_data, strata_vars, digits = 2)

Arguments

complete_data	A data frame containing the output from combine_replicates.
strata_vars	A vector of column names identifying the variables to be used for stratification.
digits	Number of decimal places to round the results to. Default value is 2.

Value

A data frame that contains the proportions after applying combine_replicates.

Examples

local_dir <- system.file("extdata", "right", package = "verdata")
replicates_data <- read_replicates(replicates_dir = local_dir,
violation = "reclutamiento", replicate_nums = c(1, 2), version = "v1",
crash = TRUE)
replicates_obs_data <- summary_observed("reclutamiento", replicates_data,
strata_vars = "sexo", conflict_filter = FALSE, forced_dis_filter = FALSE,
edad_minors_filter = FALSE, include_props = FALSE)
tab_combine <- combine_replicates("reclutamiento", replicates_obs_data,
replicates_data, strata_vars = 'sexo', conflict_filter = TRUE,
forced_dis_filter = FALSE, edad_minors_filter = FALSE, include_props = FALSE)
prop_data_complete <- proportions_imputed(tab_combine, strata_vars = "sexo",
digits = 2)

verdata documentation built on June 8, 2025, 11:46 a.m.