RE: st: row means for at least 10 observations greater than 0

[Nicholas Winters <nicholas.winters@mail.mcgill.ca>]

Thanks, this worked! I appreciate the help
________________________________________
From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] on behalf of Nick Cox [njcoxstata@gmail.com]
Sent: February 25, 2014 11:20 AM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: row means for at least 10 observations greater than 0

Better than mine. Watch out for missings, however.
Nick
njcoxstata@gmail.com


On 25 February 2014 16:11, Jeph Herrin <info@flyingbuttress.net> 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
>> njcoxstata@gmail.com
>>
>> On 25 February 2014 15:30, Nicholas Winters
>> <nicholas.winters@mail.mcgill.ca> 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
>>
>> *
>>
>> *   For searches and help try:
>> *   http://www.stata.com/help.cgi?search
>> *   http://www.stata.com/support/faqs/resources/statalist-faq/
>> *   http://www.ats.ucla.edu/stat/stata/
>>
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/faqs/resources/statalist-faq/
> *   http://www.ats.ucla.edu/stat/stata/
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/