st: RE: RE: RE: RE: RE: RE: RE: RE: RE: summarize conditions within subjects in panel data

[Nick Cox <n.j.cox@durham.ac.uk>]

That is possible as Dimitriy pointed out, but it wouldn't make the problem soluble in one line, as the missings would just be reversed in time. 

Nick 
n.j.cox@durham.ac.uk

Dimitriy Masterov
=================

I think you can construct a "fake" hour variable easily:

gsort id -hour;

bys id: gen hour2=_n;

bysort id hour2: do your thing

Hoffman, George
===============

Thanks again.
If only -by, and -bysort, could take a reverse modifier (like gsort id -hour)

Nick Cox
=========

You could package this, but at root Stata needs to look at _all_ the values for a panel before it can decide that _all_ are missing. Hence I think there isn't a one-line solution, except trivially if you write a program to do it. 

Nick Cox
========

This came up in a different form a few days ago. See my post on 24 Nov

<http://www.hsph.harvard.edu/cgi-bin/lwgate/STATALIST/archives/statalist.1011/date/article-968.html> 

bysort id (hour) : gen mysum = sum(varx < 50)
bysort id (varx) : replace mysum = . if missing(varx[1]) & missing(varx[_N]) 

Hoffman, George
===============

Not quite.
The problem is with missing values.
bysort id (hour) : gen mysum = sum(varx < 50)
 the function sum(varx<50) reports 0 if varx is missing. 
But - if varx is missing for the entirety of the hours in a given id, I'd like mysum = sum(varx<50) to be missing.
If I add if varx<. To the end of the bysort... command, then the sum is missing if the varx is missing in the last hour.

This is a generic issue that I've been thinking  wrongly about for years, and need correction!

Hoffman, George
===============

This works. Thanks!

Nick Cox
========

bysort id (hour) : gen mysum = sum(varx < 50) 

Hoffman, George
===============

id: integers 1,2....200
hour: integers 1,2...48
varx : continuous, 0-100 and missing

Nick Cox
========

We need to know more about how -hour- is defined and measured. Is it a time since some zero, or a duration? Show a segment of your data for one subject. 

Hoffman, George
===============

I've got a panel dataset (xt) uniquely identified by subject (id)  and time (hour), sorted by id hour.
I'd like to generate a variable that counts the cumulative (within id, across hour) number of hours that a variable is less than 50.
My code so far:

gen varxl50 = varx <50 if varx <.
bysort patnum (hour): gen varxl50sum = sum(varxl50)

I'm running into problems because of missing values I think.
Does this code look right?
Is there a mode succinct way to code this?

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