[R] Missing data

[Rui Barradas]

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]]
>
>
>
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