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RE: st: RE: From: [email protected]
From
"Martin Weiss" <[email protected]>
To
<[email protected]>
Subject
RE: st: RE: From: [email protected]
Date
Fri, 13 Aug 2010 22:16:12 +0200
<>
But the missings are back once the -merge-r is done.
. li
+---------------------------------+
| a b x _merge |
|---------------------------------|
1. | 9 5 .998 matched (3) |
2. | 1 5 .658 matched (3) |
3. | 1 5 7.801 matched (3) |
4. | 1 5 . master only (1) |
5. | 9 5 . master only (1) |
|---------------------------------|
6. | 1 5 . master only (1) |
7. | 9 5 . master only (1) |
8. | 1 5 . master only (1) |
Let`s summarize: We can twist it and bend it as much as we like, there are
no "empty cells" in Stata...
HTH
Martin
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Eric Booth
Sent: Freitag, 13. August 2010 22:12
To: <[email protected]>
Subject: Re: st: RE: From: [email protected]
If you want the non-missing cells to shift up to column and the other
variables to stay fixed, you could create another dataset with just "x",
remove the missings and merge it back in using a 1:1 merge on the row (_n):
***********
clear*
inp a x b
9 0.998 5
1 . 5
1 . 5
1 . 5
9 0.658 5
1 . 5
9 7.801 5
1 . 5
end
preserve
keep x
drop if mi(x)
save using.dta , replace
restore
drop x
merge 1:1 _n using using.dta
li
***********
~ Eric
__
Eric A. Booth
Public Policy Research Institute
Texas A&M University
[email protected]
Office: +979.845.6754
On Aug 13, 2010, at 3:00 PM, Martin Weiss wrote:
>
> <>
>
> You can -sort- on the variable to assemble all the values other than
> missings at the top. But the other variables will move as well...
>
> ***********
> clear*
>
> inp x
> 0.998
> .
> .
> .
> 0.658
> .
> 7.801
> .
> end
>
> gen byte othervar=_n
> so x
>
> list, noo
> ***********
>
>
> HTH
> Martin
>
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]]
> Sent: Freitag, 13. August 2010 21:48
> To: Stata List
> Subject: st: From: [email protected]
>
> Dear all,
>
> I wish to delete "cells" (not observations, aka rows) that have missing
> values for variable x only within x. Hence,
>
> "drop if x==."
>
> would not work because it will delete the observations across all
> variables, to explain graphically, I want something that looks like this:
>
> variable x
> 0.998
> .
> .
> .
> 0.658
> .
> 7.801
> .
>
> to become:
> 0.998
> 0.658
> 7.801
>
> without disturbing the other variables in the dataset. Manually
> manipulating in Excel is not an option because this is done half way
> through a do file and must be done by written commands. Stata is very easy
> to use to drop variables and observations, but can it delete specific
> "cells"?
>
> Can anyone help here?
>
> Any advice much appreciated,
> David
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