create_median: Create the inputs to make quality evaluation for median...

In Klauslehmann/calidad: Evalúa la calidad de las estimaciones hechas por encuestas de hogares

Description

create_median uses a non parametric method to generate a dataframe with the following elements: sum, degrees of freedom, sample size and coefficient of variation. The function allows grouping in several domains.

Usage

create_median(
  var,
  dominios = NULL,
  subpop = NULL,
  disenio,
  ci = F,
  replicas = 10,
  ajuste_ene = F,
  standard_eval = F
)

Arguments

var	numeric variable within the dataframe
dominios	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
replicas	integer indicating the number of replicates to be used
ajuste_ene	boolean indicating if an adjustment for the sampling-frame transition period must be used
standard_eval	boolean Indicating if the function is wrapped inside a function, if TRUE avoid lazy eval errors

Value

dataframe that contains the inputs and all domains to be evaluated

Examples

dc <- survey::svydesign(ids = ~varunit, strata = ~varstrat, data = epf_personas, weights = ~fe)
dc_rep <-  survey::as.svrepdesign(dc , type = "subbootstrap", replicates=10)
create_median(gastot_hd, zona+sexo, disenio = dc)

Klauslehmann/calidad documentation built on May 1, 2021, 6:35 a.m.