Group a (survey) dataset by one or more variables.

Source: R/group-by.r

Most data operations are useful when done on groups defined by variables in the dataset. The group_by function takes an existing table (or svy_table) and converts it to a grouped version, where operations are performed "by group".

Arguments

.data

A tbl

...

variables to group by. All tbls accept variable names, some will also accept functions of variables. Duplicated groups will be silently dropped.

add

By default, when add = FALSE, group_by will override existing groups. To instead add to the existing groups, use add = TRUE

.dots

Used to work around non-standard evaluation. See vignette("nse", package = "dplyr") for details.

Details

See group_by for more information about grouping regular data tables.

On tbl_svy objects, group_by sets up the object for operations similar to those allowed in svyby.

See also

group_by for information about group_by on normal data tables.

Examples

# Examples of svy_tbl group_by
library(survey)
data(api)
dstrata <- apistrat %>%
  as_survey_design(strata = stype, weights = pw) %>%
  group_by(stype)

  dstrata %>%
    summarise(api_diff = survey_mean(api00 - api99))
#> # A tibble: 3 × 3
#>   stype api_diff api_diff_se
#>   <fct>    <dbl>       <dbl>
#> 1 E        38.6         2.76
#> 2 H         8.46        3.41
#> 3 M        26.4         3.05