Aggregate data using dplyr functionality.

Source: R/agg-data.R

This function is a 'wrapper' for the group_by and summarize procedure used in dplyr to aggregate dataframes.

agg_data(data, col = "atoutput", groups, out = "atoutput", fun)

agg_perc(data, col = "atoutput", groups, out = "atoutput")

group_data(data, groups)

Arguments

data

Dataframe the aggregation is applied to.
col

Column of the dataframe the summarise function is applied. Default is atoutput.
groups

Vector of character strings giving the grouping variables.
out

Character string specifying the name of the output column. Default is atoutput.
fun

Aggregation function to apply.

Value

grouped datarame with the aggregated data.

Examples

agg_ref_nums <- agg_data(data = ref_nums, groups = c("species", "agecl"), fun = mean)

#> Warning: `summarise_()` was deprecated in dplyr 0.7.0.
#> Please use `summarise()` instead.
#> Warning: `group_by_()` was deprecated in dplyr 0.7.0.
#> Please use `group_by()` instead.
#> See vignette('programming') for more help