R/descriptive_statistics.R
percentiles_agrupados.RdUsa los factores de expansion, conglomerados y estratos para calcular correctamente los percentiles comunales o regionales.
percentiles_agrupados(disenio, percentiles = 0.7)la salida de `configuracion_disenio()` que provee ademas los grupos y las variables en forma de lista
percentiles a calcular, si no se especifica calcula el percentil 70
Una tabla con los percentiles y su error estandar.
cd <- configuracion_disenio(casen_2017_los_rios, "ytotcorh", c("comuna", "sexo"), "expc")
percentiles_agrupados(cd, 0.7)
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> `mutate_if()` ignored the following grouping variables:
#> • Column `comuna`
#> # A tibble: 12 × 8
#> # Groups: comuna_etiqueta [6]
#> percentil comuna_etiqueta sexo_etiqueta comuna_codigo sexo_codigo comuna
#> <dbl> <dbl+lbl> <chr> <dbl+lbl> <chr> <dbl+lbl>
#> 1 0.7 14101 [Valdivi… Mujer 14101 [Valdi… 2 14101 [Val…
#> 2 0.7 14101 [Valdivi… Hombre 14101 [Valdi… 1 14101 [Val…
#> 3 0.7 14104 [Los Lag… Hombre 14104 [Los L… 1 14104 [Los…
#> 4 0.7 14104 [Los Lag… Mujer 14104 [Los L… 2 14104 [Los…
#> 5 0.7 14107 [Paillac… Hombre 14107 [Paill… 1 14107 [Pai…
#> 6 0.7 14107 [Paillac… Mujer 14107 [Paill… 2 14107 [Pai…
#> 7 0.7 14108 [Panguip… Mujer 14108 [Pangu… 2 14108 [Pan…
#> 8 0.7 14108 [Panguip… Hombre 14108 [Pangu… 1 14108 [Pan…
#> 9 0.7 14201 [La Unió… Hombre 14201 [La Un… 1 14201 [La …
#> 10 0.7 14201 [La Unió… Mujer 14201 [La Un… 2 14201 [La …
#> 11 0.7 14204 [Río Bue… Hombre 14204 [Río B… 1 14204 [Río…
#> 12 0.7 14204 [Río Bue… Mujer 14204 [Río B… 2 14204 [Río…
#> # … with 2 more variables: mediana_ytotcorh <dbl>,
#> # mediana_ytotcorh_err_est <dbl>