Hi, is it possible to calculate a rolling mean with dplyr
? I am thinking the lag
function might help here. But not sure how to actually do it. Thanks!
You can try the slider
package, it is dplyr
friendly
If you need more specific help, please provide a proper REPRoducible EXample (reprex) illustrating your issue.
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I use something like
tibble(time = 1:10, value = rnorm(10)) %>%
arrange(time) %>%
mutate(rolling_avg = cumsum(value) / row_number())
The arrange
is unnecessary in this example, but in general you want to guarantee a specific ordering.
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