group_by and summarize as an atomic action.

Source: R/group_summarize.R

Group a data frame by the groupingVars and compute user summaries on this data frame (user summaries specified in ...). Enforces the good dplyr pipeline design principle of keeping group_by and summarize close together. Author: John Mount, Win-Vector LLC.

group_summarize(
  d,
  groupingVars,
  ...,
  arrangeTerms = NULL,
  env = parent.frame()
)

group_summarise(
  d,
  groupingVars,
  ...,
  arrangeTerms = NULL,
  env = parent.frame()
)

Arguments

d

data.frame
groupingVars

character vector of column names to group by.
...

list of dplyr::mutate() expressions.
arrangeTerms

character optional vector of quoted column expressions to arrange by.
env

environment to work in.

Value

d summarized by groups

Examples



group_summarize(datasets::mtcars,
                    c("cyl", "gear"),
                    group_mean_mpg = mean(mpg),
                    group_mean_disp = mean(disp)) %.>%
  head(.)

#> # A tibble: 6 x 4
#>     cyl  gear group_mean_mpg group_mean_disp
#>   <dbl> <dbl>          <dbl>           <dbl>
#> 1     4     3           21.5            120.
#> 2     4     4           26.9            103.
#> 3     4     5           28.2            108.
#> 4     6     3           19.8            242.
#> 5     6     4           19.8            164.
#> 6     6     5           19.7            145