[R] How to find moving averages within each subgroup of a data frame
Gabor Grothendieck
ggrothendieck at gmail.com
Fri Oct 23 17:21:59 CEST 2009
Try this:
df1$SMA <- ave(df1$col4, df1$col1, FUN = function(x) c(NA, (head(x,
-1) + tail(x, -1))/2))
It would also be possible to convert it from long form to wide form
using reshape (or read.zoo in the devel version of zoo), convert that
to a zoo series and the use rollapply in the zoo package.
On Thu, Oct 22, 2009 at 12:28 PM, clair.crossupton at googlemail.com
<clair.crossupton at googlemail.com> wrote:
> Dear all,
>
> If I have the following data frame:
>
>> set.seed(21)
>> df1 <- data.frame(col1=c(rep('a',5), rep('b',5), rep('c',5)), col4=rnorm(1:15))
>
> col1 col4
> 1 a 0.793013171
> 2 a 0.522251264
> 3 a 1.746222241
> 4 a -1.271336123
> 5 a 2.197389533
> 6 b 0.433130777
> 7 b -1.570199630
> 8 b -0.934905667
> 9 b 0.063493345
> 10 b -0.002393336
> 11 c -2.276781240
> 12 c 0.757412225
> 13 c -0.548405554
> 14 c 0.172549478
> 15 c 0.562853068
>
> How can i make a 2 point moving average within each group? i.e.
>
> col1 col4 SMA
> a 0.793013171 NA
> a 0.522251264 0.657632218
> a 1.746222241 1.134236753
> a -1.271336123 0.237443059
> a 2.197389533 0.463026705
> b 0.433130777 NA
> b -1.57019963 -0.568534427
> b -0.934905667 -1.252552649
> b 0.063493345 -0.435706161
> b -0.002393336 0.030550005
> c -2.27678124 NA
> c 0.757412225 -0.759684508
> c -0.548405554 0.104503336
> c 0.172549478 -0.187928038
> c 0.562853068 0.367701273
>
> >From what i've read, i was thinking it would be something along the
> lines of:
>
>> aggregate(df1$col4, by=list(df1$col1), function(x) {filter(x, rep(1/2,2), sides=1 )} )
> Error in aggregate.data.frame(as.data.frame(x), ...) :
> 'FUN' must always return a scalar
>
> But this tells me (i think) that aggregate should only return a single
> value per group. So what i need, i guess, is something that takes all
> the values in a given group, and returns a vector of the same length.
> Not sure which function to use for that.
>
> Thanks in advance,
>
> C xx
>
> P.S. on a side note, is it possible to extract the values which
> aggregate passes to the function(x) in my example above?
>
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