Hello,
Many packages have a movind average function. For instance package
forecast. Or
library(sos)
findFn("moving average")
In your example, what you compute is not exactly a moving average, but
in can be computed with something like the following.
s <- (seq_along(dat) - 1) %/% 3
sapply(split(dat, s), mean)
Hope this helps,
Rui Barradas
Em 17-02-2014 18:45, C W escreveu:
Hi list,
How do I calculate a moving average without using filter(). filter() does
not seem to give weighted averages.
I am looking into apply(), tapply,... But nothing "moves".
For example,
dat<-c(1:20)
mean(dat[1:3])
mean(dat[4:6])
mean(dat[7:9])
mean(dat[10:12])
etc...
I understand the point of apply is to avoid loops, how should I incorporate
this idea into using an apply()?
Thanks,
Mike
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