Reduces multiple values down to a single value

Source: R/summarize.R

summarise() is typically used on grouped data created by group_by(). The output will have one row for each group.

# S3 method for FDF
summarise(.data, ...)

summarize(.data, ...)

summarise(.data, ...)

Arguments

.data

A FDF.
...

Name-value pairs of summary functions. The name will be the name of the variable in the result. The value should be an expression that returns a single value like min(x), n(), or sum(is.na(y)).

These arguments are automatically quoted and evaluated in the context of the data frame. They support unquoting and splicing. See vignette("programming") for an introduction to these concepts.

Value

A tibble with group values and summarized values.

Examples

test <- FDF(datasets::iris)
test %>%
  group_by(Species) %>%
  summarize(mean = mean(Sepal.Length))
#> # A tibble: 3 x 2
#>   Species     mean
#>   <chr>      <dbl>
#> 1 setosa      5.01
#> 2 versicolor  5.94
#> 3 virginica   6.59

# You can also get a list-column
test %>%
  group_by(Species) %>%
  summarize(range = range(Sepal.Length))
#> # A tibble: 3 x 2
#>   Species    range    
#>   <chr>      <list>   
#> 1 setosa     <dbl [2]>
#> 2 versicolor <dbl [2]>
#> 3 virginica  <dbl [2]>