I need to get the mean of all columns of a large data set using R, grouped by 2 variables.
Lets try it with mtcars:
library(dplyr)
g_mtcars <- group_by(mtcars, cyl, gear)
summarise(g_mtcars, mean (hp))
# Source: local data frame [8 x 3]
# Groups: cyl [?]
#
# cyl gear `mean(hp)`
# <dbl> <dbl> <dbl>
# 1 4 3 97.0000
# 2 4 4 76.0000
# 3 4 5 102.0000
# 4 6 3 107.5000
# 5 6 4 116.5000
# 6 6 5 175.0000
# 7 8 3 194.1667
# 8 8 5 299.5000
It works for "hp", but I need to get the mean for every other columns of mtcars (except "cyl" and "gear" that make a group).
The data set is large, with several columns. Typing it by hand, like this: summarise(g_mtcars, mean (hp), mean(drat), mean (wt),...)
it is not pratical.