Thanks Gabor,
It works alright. But is there alternative ways to perform rollmean
apart from permutating the data?
Possibly combining the Reduce and rollmean functions?
The easiest but traditional way is
> (x[[1]]+x[[2]]) / 2
> (x[[2]]+x[[3]]) / 2
Muhammad Rahiz | Doctoral Student in Regional Climate Modeling
Climate Research Laboratory, School of Geography & the Environment
Oxford University Centre for the Environment
South Parks Road, Oxford, OX1 3QY, United Kingdom
Tel: +44 (0)1865-285194 Mobile: +44 (0)7854-625974
Email: muhammad.ra...@ouce.ox.ac.uk
Gabor Grothendieck wrote:
Try apply:
library(zoo) # rollmean
# test data
m <- matrix(1:3, 3, 3)
x <- list(m, m+3, m+6)
# convert to array
a <- array(unlist(x), c(3, 3, 3)); a
# apply rollmean and permute to desired form
aa <- apply(a, 1:2, rollmean, k = 2)
aperm(aa, c(2, 3, 1))
The last line outputs:
aperm(aa, c(2, 3, 1))
, , 1
[,1] [,2] [,3]
[1,] 2.5 2.5 2.5
[2,] 3.5 3.5 3.5
[3,] 4.5 4.5 4.5
, , 2
[,1] [,2] [,3]
[1,] 5.5 5.5 5.5
[2,] 6.5 6.5 6.5
[3,] 7.5 7.5 7.5
On Sat, Jan 2, 2010 at 10:00 AM, Muhammad Rahiz
<muhammad.ra...@ouce.ox.ac.uk> wrote:
Let me rephrase;
Given x as
x
[[1]]
V1 V2 V3
[1,] 1 1 1
[2,] 2 2 2
[3,] 3 3 3
[[2]]
V1 V2 V3
[1,] 4 4 4
[2,] 5 5 5
[3,] 6 6 6
[[3]]
V1 V2 V3
[1,] 7 7 7
[2,] 8 8 8
[3,] 9 9 9
I'd like to calculate the moving average (interval = 2) i.e.
( x[[1]] + x[[2]] ) / 2
( x[[2]] + x[[3]] ) / 2
... and so on.
The desired output will return
2.5 2.5 2.5
3.5 3.5 3.5
4.5 4.5 4.5
5.5 5.5 5.5
6.5 6.5 6.5
7.5 7.5 7.5
Muhammad Rahiz | Doctoral Student in Regional Climate Modeling
Climate Research Laboratory, School of Geography & the Environment
Oxford University Centre for the Environment, University of Oxford
South Parks Road, Oxford, OX1 3QY, United Kingdom
Tel: +44 (0)1865-285194 Mobile: +44 (0)7854-625974
Email: muhammad.ra...@ouce.ox.ac.uk
milton ruser wrote:
Dear M.Rahiz,
Unfortunatelly I can't reproduce your example.
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
bests
milton
On Sat, Jan 2, 2010 at 9:26 AM, Muhammad Rahiz
<muhammad.ra...@ouce.ox.ac.uk<mailto:muhammad.ra...@ouce.ox.ac.uk>> wrote:
Hello useRs,
I'd like to perform a moving average on the dataset, xx. I've tried
combining the functions Reduce and rollmean but it didn't work.
r <- function(n) rollmean(n, 2) # where 2 = averaging interval
output < - Reduce("r", x)
Error in f(init, x[[i]]) : unused argument(s) (x[[i]])
Is there anything wrong with the code in the first place?
where
x
[[1]]
V1 V2 V3
[1,] 1 1 1
[2,] 2 2 2
[3,] 3 3 3
[[2]]
V1 V2 V3
[1,] 4 4 4
[2,] 5 5 5
[3,] 6 6 6
[[3]]
V1 V2 V3
[1,] 7 7 7
[2,] 8 8 8
[3,] 9 9 9
The moving average is to be performed on
1,4,7 = (1+4)/2 , (4+7)/2
2,5,8 = ..
3,6,9 = ..
Thanks
Muhammad
--
Muhammad Rahiz | Doctoral Student in Regional Climate Modeling
Climate Research Laboratory, School of Geography & the Environment
Oxford University Centre for the Environment, University of Oxford
South Parks Road, Oxford, OX1 3QY, United Kingdom
Tel: +44 (0)1865-285194 Mobile: +44 (0)7854-625974
Email: muhammad.ra...@ouce.ox.ac.uk<mailto:muhammad.ra...@ouce.ox.ac.uk>
______________________________________________
R-help@r-project.org<mailto:R-help@r-project.org> mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
