get_estimation_mean.RdThis 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" )
| 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 |
table
Disclaimer: This script is not an official INE product. Aviso: El script no es un producto oficial de INE.
# \donttest{ get_estimation_mean(data = ech::toy_ech_2018, variable = "pobre06", by.x = "dpto", level = "h")#> #>#> # 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# }