This function allows you to estimate mean variable at universe level.

get_estimation_mean(
  data = ech::toy_ech_2018,
  variable = NULL,
  by.x = NULL,
  by.y = NULL,
  domain = NULL,
  level = NULL,
  ids = NULL,
  numero = "numero",
  estrato = NULL,
  pesoano = "pesoano",
  name = "estimacion"
)

Arguments

data

data frame with ECH microdata

variable

data frame column to estimate

by.x

data frame column

by.y

data frame column

domain

subpopulation reference setted as character expresion of logical evaluation

level

is household ("h") or individual ("i").

ids

ids

numero

household id

estrato

strata

pesoano

weights

name

name for the estimation new column

Value

table

Details

Disclaimer: This script is not an official INE product. Aviso: El script no es un producto oficial de INE.

Examples

# \donttest{ get_estimation_mean(data = ech::toy_ech_2018, variable = "pobre06", by.x = "dpto", level = "h")
#> These confidence intervals are only an approximation of the correct confidence intervals #> that arise from fully defining the sample design
#> # A tibble: 26 x 5 #> # Groups: dpto [19] #> dpto pobre06 estimacion estimacion_low estimacion_upp #> <fct> <fct> <dbl> <dbl> <dbl> #> 1 Montevideo No pobre 0.940 0.903 0.976 #> 2 Montevideo Pobre 0.0604 0.0241 0.0968 #> 3 Artigas No pobre 0.739 0.488 0.991 #> 4 Artigas Pobre 0.261 0.00873 0.512 #> 5 Canelones No pobre 1 1 1 #> 6 Cerro Largo No pobre 1 1 1 #> 7 Colonia No pobre 1 1 1 #> 8 Durazno No pobre 0.728 0.412 1.04 #> 9 Durazno Pobre 0.272 -0.0429 0.588 #> 10 Flores No pobre 1 1 1 #> # … with 16 more rows
# }