Suppose I want to calculate the proportion of different values within each group. For example, using the mtcars
data, how do I calculate the relative f
You can use count()
function, which has however a different behaviour depending on the version of dplyr
:
dplyr 0.7.1: returns an ungrouped table: you need to group again by am
dplyr < 0.7.1: returns a grouped table, so no need to group again, although you might want to ungroup()
for later manipulations
dplyr 0.7.1
mtcars %>%
count(am, gear) %>%
group_by(am) %>%
mutate(freq = n / sum(n))
dplyr < 0.7.1
mtcars %>%
count(am, gear) %>%
mutate(freq = n / sum(n))
This results into a grouped table, if you want to use it for further analysis, it might be useful to remove the grouped attribute with ungroup()
.