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Re: st: row means for at least 10 observations greater than 0
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: row means for at least 10 observations greater than 0
Date
Tue, 25 Feb 2014 16:20:01 +0000
Better than mine. Watch out for missings, however.
Nick
[email protected]
On 25 February 2014 16:11, Jeph Herrin <[email protected]> wrote:
> Or - in the interests of brevity - if you have say 25 variables
>
> egen has0s = anycount(var1990-var2014), val(0)
> egen rowmean = rowmean(var1990-var2014) if (25 - has0s) >=10
>
>
> J
>
>
>
>
>
> On 2/25/2014 10:37 AM, Nick Cox wrote:
>>
>> Let's count positives first. One simple way is a loop. I imagine
>> variable names -var1990-var2013-. I throw in free a check for
>> non0missing.
>>
>> gen positive = 0
>>
>> qui foreach v of var var1990-var2013 {
>> replace positive = positive + (`v' > 0 & `v' < .)
>> }
>>
>> egen rowmean = rowmean(var1990-var2013) if positive >= 10.
>>
>> For technique here see
>>
>> SJ-9-1 pr0046 . . . . . . . . . . . . . . . . . . . Speaking Stata:
>> Rowwise
>> (help rowsort, rowranks if installed) . . . . . . . . . . . N.
>> J. Cox
>> Q1/09 SJ 9(1):137--157
>> shows how to exploit functions, egen functions, and Mata
>> for working rowwise; rowsort and rowranks are introduced
>>
>> http://www.stata-journal.com/sjpdf.html?articlenum=pr0046
>>
>> (If negative values are acceptable, modify the loop accordingly.)
>>
>> Nick
>> [email protected]
>>
>> On 25 February 2014 15:30, Nicholas Winters
>> <[email protected]> wrote:
>>>
>>> I need to take an average of several variables in a row, but I want to
>>> average of the row only if there are at least 10 variables without 0 as
>>> their observation. The data looks like this:
>>>
>>> PersonID 1990 1991 1992 1993 1994 1995 etc...
>>> 1 0 0 3 3 5 6
>>> 2 1 1 5 3 0 7
>>> 3 1 1 2 1 4 3
>>> 4 0 0 0 0 5 5
>>>
>>> does anyone have an idea how to do this? I've tried egen and rowmean()
>>> but I am not sure how to code for if a row has more at least 10 observations
>>> > 0
>>
>> *
>>
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>>
> *
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