Constructing moving average over a categorical variable in R

Question

I\'m looking to construct a moving average while aggregating a timeseries dataset over two categorical variables. While I\'ve seen a few other tutorials, none of them seem t

Answer 1

ave and filter:

with(df, ave(DV, Group, FUN=function(x) filter(x,rep(1/5,5),sides=1)))
# [1]     NA     NA     NA     NA 4078.2 4535.8 4838.0 4901.6 4815.4 4735.4
#[11] 4669.6 4682.0     NA     NA     NA     NA 4078.2 4535.8 4838.0 4901.6
#[21] 4815.4 4735.4 4669.6 4682.0