Usa los factores de expansion, conglomerados y estratos para calcular correctamente las medias comunales o regionales.
media_agrupada(disenio)la salida de `configuracion_disenio()` que provee ademas los grupos y las variables en forma de lista
Una tabla con las medias agrupadas y su intervalo de confianza.
cd <- configuracion_disenio(casen_2017_los_rios, "ytotcorh", c("comuna", "sexo"), "expc")
media_agrupada(cd)
#> `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]
#> comuna_etiqueta sexo_etiqueta comuna_codigo sexo_codigo comuna
#> <dbl+lbl> <chr> <dbl+lbl> <chr> <dbl+lbl>
#> 1 14101 [Valdivia] Mujer 14101 [Valdivia] 2 14101 [Val…
#> 2 14101 [Valdivia] Hombre 14101 [Valdivia] 1 14101 [Val…
#> 3 14104 [Los Lagos] Hombre 14104 [Los Lagos] 1 14104 [Los…
#> 4 14104 [Los Lagos] Mujer 14104 [Los Lagos] 2 14104 [Los…
#> 5 14107 [Paillaco] Hombre 14107 [Paillaco] 1 14107 [Pai…
#> 6 14107 [Paillaco] Mujer 14107 [Paillaco] 2 14107 [Pai…
#> 7 14108 [Panguipulli] Mujer 14108 [Panguipulli] 2 14108 [Pan…
#> 8 14108 [Panguipulli] Hombre 14108 [Panguipulli] 1 14108 [Pan…
#> 9 14201 [La Unión] Hombre 14201 [La Unión] 1 14201 [La …
#> 10 14201 [La Unión] Mujer 14201 [La Unión] 2 14201 [La …
#> 11 14204 [Río Bueno] Hombre 14204 [Río Bueno] 1 14204 [Río…
#> 12 14204 [Río Bueno] Mujer 14204 [Río Bueno] 2 14204 [Río…
#> # … with 3 more variables: media_ytotcorh <dbl>, media_ytotcorh_inf <dbl>,
#> # media_ytotcorh_sup <dbl>