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
Here is a base R answer using aggregate
and ave
:
df1 <- with(mtcars, aggregate(list(n = mpg), list(am = am, gear = gear), length))
df1$prop <- with(df1, n/ave(n, am, FUN = sum))
#Also with prop.table
#df1$prop <- with(df1, ave(n, am, FUN = prop.table))
df1
# am gear n prop
#1 0 3 15 0.7894737
#2 0 4 4 0.2105263
#3 1 4 8 0.6153846
#4 1 5 5 0.3846154
We can also use prop.table
but the output displays differently.
prop.table(table(mtcars$am, mtcars$gear), 1)
# 3 4 5
# 0 0.7894737 0.2105263 0.0000000
# 1 0.0000000 0.6153846 0.3846154