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Re: st: How to fill in the missing data
From
Alexis Penot <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: How to fill in the missing data
Date
Mon, 10 Jun 2013 07:01:21 +0200
You can try this
sort id age
gen weight2 = weight
replace weight2 = weight2[_n-1] if missing(weight2)
Alexis
Le 10 juin 2013 à 06:45, Ching Wong <[email protected]> a écrit :
> Hi,
>
> I have a dataset as following:
>
> id age weight
> 1 21 50.2
> 1 22
> 1 23 52.9
> 1 24 51.0
> 1 25
> 2 22
> 2 23
> 2 25 60.2
> 3 21
>
> And I would like to create a new variable "weight2" and fill in the
> missing data based on the previous value
>
> My expected output value should be as follows:
>
> id age weight weight2
> 1 21 50.2 50.2
> 1 22 . 50.2
> 1 23 52.9 52.9
> 1 24 51.0 51.0
> 1 25 . 51.0
> 2 22 . .
> 2 23 . .
> 2 25 60.2 60.2
> 3 21 . .
>
> I have tried the command below but that cannot produce what I expected.
>
> - bysort id (age): gen weight_hat = weight[_n-1]
>
> It is very obvious that command is missing something. So what will be
> the correct command in this case?
>
> Cheers,
>
> Wong
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