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Re: st: efficient listing of data, to perform audit
From
Sergiy Radyakin <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: efficient listing of data, to perform audit
Date
Fri, 25 Oct 2013 01:38:14 -0400
On Fri, Oct 25, 2013 at 12:21 AM, Michael McCulloch
<[email protected]> wrote:
> I have data of the following structure, with >100 observations, and >200 variables:
>
> var1 var2 var3 var4
> obs1 1 3 . .
> obs2 . . 5 2
> obs3 2 3 1 6
>
> Rather than visually browsing the table, and manually typing list var1 var2 for each observation where I visually detect data...
Michael is the above sentence complete? I feel something is missing
from it. What is it that you are detecting?
>
> Is there a way to efficiently create a series of lists, something to the effect of:
>
> . list anyVAR anyOBS?
Michael this is not clear. But here are a few examples
sysuse auto
list
** lists ALL vars and ALL observations
list price
** list ONE (any) particular variable for ALL observations
list in 10
** list ALL variables in ONE (any) particular observation
list price in 10
** list ONE variable in ONE observation
list price weight if missing(rep78)
** list particular variables in ALL observations satisfying CONDITION
You can substitute list for browse in the above if you want to display
the results in a scrollable window.
Finally, if you mean how to list all the elements of the original
dataset that are not missing, consider the -reshape- command. convert
from wide to long:
clear
input var1 var2 var3 var4
1 3 . .
. . 5 2
2 3 1 6
end
generate id=_n
reshape long var, i(id) j(idx)
list, sepby(id)
keep if !missing(var)
list, sepby(id)
Produces this:
+----------------+
| id idx var |
|----------------|
1. | 1 1 1 |
2. | 1 2 3 |
|----------------|
3. | 2 3 5 |
4. | 2 4 2 |
|----------------|
5. | 3 1 2 |
6. | 3 2 3 |
7. | 3 3 1 |
8. | 3 4 6 |
+----------------+
Best, Sergiy Radyakin
>
>
>
> Best wishes,
> Michael McCulloch
>
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