summarize standard interface.

summarize a data frame by the summarizeTerms. Accepts arbitrary text as summarizeTerms to allow forms such as "mean(Sepal.Length)".

summarize_se(.data, summarizeTerms, ..., warn = TRUE, env = parent.frame())

summarise_se(.data, summarizeTerms, ..., warn = TRUE, env = parent.frame())

Arguments

.data	data.frame
summarizeTerms	character vector of column expressions to summarize by.
...	force later terms to be bound by name
warn	logical, if TRUE warn about possible name collisions.
env	environment to work in.

Value

.data with summarizeTerms summarization applied.

See also

summarize, summarize_at, :=

Examples

# good
datasets::iris %.>%
  summarize_se(., qae(Mean_Sepal_Length := mean(Sepal.Length),
                      Max_Sepal_Length := max(Sepal.Length)))
#>   Mean_Sepal_Length Max_Sepal_Length
#> 1          5.843333              7.9

# good
datasets::iris %.>%
  summarize_se(., qae(Sepal.Length := mean(Sepal.Length)))
#>   Sepal.Length
#> 1     5.843333

# intentionally generates a warning
datasets::iris %.>%
  summarize_se(., qae(Sepal.Length := mean(Sepal.Length),
                      Max_Sepal_Length := max(Sepal.Length)))
#> Warning: seplyr::summarize_se possibly confusing column name re-use c('Sepal.Length' = 'mean(Sepal.Length)', 'Max_Sepal_Length' = 'max(Sepal.Length)')
#>   Sepal.Length Max_Sepal_Length
#> 1     5.843333         5.843333