Hello,
Something like this?
x <- scan(text = "
125
130.3
327.2
252.2
33.8
6.1
5.1
0.5
0.5
0
2.3
0
0
0
0
0
0
0
0
0
0.8
5.1
0
0.3
0
0
0
0
0
0
45.7
43.4
0
0
0
0
0
")
putMissing <- function(x, by){
idx <- by*seq_along(x)
idx <- idx[which(idx <= length(x))]
x[idx] <- NA
x
}
putMissing(x, 10)
putMissing(x, 5)
Hope this helps,
Rui Barradas
Em 25-04-2013 07:41, Roslina Zakaria escreveu:
Dear r-users,
I would like to investigate about how to fill in missing data. I started with
a complete data and try to introduce missing data into the data series. Then I
would use some method to fill in the missing data and then compare with the
original data how good it is. My question is, how do I introduce missing data
in my complete data systematically like for example every 10th data will be
erased and assumed as missing. Here are some rainfall data:
125
130.3
327.2
252.2
33.8
6.1
5.1
0.5
0.5
0
2.3
0
0
0
0
0
0
0
0
0
0.8
5.1
0
0.3
0
0
0
0
0
0
45.7
43.4
0
0
0
0
0
Thank you so much for any help given. I hope my question is clear.
[[alternative HTML version deleted]]
______________________________________________
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.
