Reputation: 8484
For a sample dataframe:
set.seed (1000)
value <- rnorm(1000)
wave <- rep(1:5, times=20, each=10)
length <- rep(1:10, times=10, each=10)
df <- data.frame(value, length, wave)
I want to create a summary table for the mean for each length (1-10) by each 'wave'. If I just had data from one time point, I would use:
aggregate(df$value, by=list(Category=df$length), FUN=sum)
But how do I calculate this for all my different waves? Can I do this in one command?
Upvotes: 0
Views: 38
Reputation: 61154
Do you mean something like this...:
> aggregate(value~length+wave, data=df, FUN=sum)
length wave value
1 1 1 -14.055504
2 6 1 -11.303317
3 2 2 -24.260527
4 7 2 4.307751
5 3 3 -2.128476
6 8 3 11.522721
7 4 4 -1.202818
8 9 4 20.985253
9 5 5 12.848358
10 10 5 -9.189343
Upvotes: 1