create_prop_internal: internal function to calculate proportion estimations

In calidad: Assesses the Quality of Estimates Made by Complex Sample Designs

internal function to calculate proportion estimations

Description

internal function to calculate proportion estimations

Usage

create_prop_internal(
  var,
  domains = NULL,
  subpop = NULL,
  disenio,
  ci = FALSE,
  deff = FALSE,
  ess = FALSE,
  ajuste_ene = FALSE,
  rel_error = FALSE,
  log_cv = FALSE,
  unweighted = FALSE,
  standard_eval = TRUE,
  rm.na = FALSE,
  env = parent.frame(),
  ci_logit = FALSE
)

Arguments

var	integer dummy variable within the dataframe
domains	domains to be estimated separated by the + character.
subpop	integer dummy variable to filter the dataframe
disenio	complex design created by survey package
ci	boolean indicating if the confidence intervals must be calculated
deff	boolean Design effect
ess	boolean Effective sample size
ajuste_ene	boolean indicating if an adjustment for the sampling-frame transition period must be used
rel_error	boolean Relative error
log_cv	boolean indicating if the log cv must be returned
unweighted	boolean Add non weighted count if it is required
standard_eval	boolean indicating if the function is inside another function, by default it is TRUE, avoid problems with lazy eval.
rm.na	boolean indicating if NA values must be removed
env	parent environment to get some variables
ci_logit	boolean indicating if interval confidence is logit

Value

dataframe that contains the inputs and all domains to be evaluated

calidad documentation built on April 15, 2025, 5:08 p.m.