If you're willing to try out an experimental dplyr, you can try out the
new (and still experimental) summarise_each()
:
devtools::install_github("hadley/dplyr", ref = "colwise")
library(dplyr)
iris %.%
group_by(Species) %.%
summarise_each(funs(mean))
## Source: local data frame [3 x 5]
##
## Species Sepal.Length Sepal.Width Petal.Length Petal.Width
## 1 setosa 5.006 3.428 1.462 0.246
## 2 versicolor 5.936 2.770 4.260 1.326
## 3 virginica 6.588 2.974 5.552 2.026
iris %.%
group_by(Species) %.%
summarise_each(funs(min, max))
## Source: local data frame [3 x 9]
##
## Species Sepal.Length_min Sepal.Width_min Petal.Length_min
## 1 setosa 4.3 2.3 1.0
## 2 versicolor 4.9 2.0 3.0
## 3 virginica 4.9 2.2 4.5
## Variables not shown: Petal.Width_min (dbl), Sepal.Length_max (dbl),
## Sepal.Width_max (dbl), Petal.Length_max (dbl), Petal.Width_max (dbl)
Feedback much appreciated!
This will appear in dplyr 0.2.