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Re: st: detecting a complete data set


From   Mitch Abdon <[email protected]>
To   [email protected]
Subject   Re: st: detecting a complete data set
Date   Tue, 16 Nov 2010 14:23:54 +0800

If you just need the number of observations with nonmissing ABC and D , try:

count if A !==. & B !==. & C !==. & D !==.

You can also generate a variable that will indicate if the observation
has no missing values (1 if no missing values and 0 otherwise),
example:

gen nomissing=(A !==. & B !==. & C !==. & D !==. )
tab nomissing

On Tue, Nov 16, 2010 at 2:08 PM, Donald Spady <[email protected]> wrote:
> I have a dataset with 6 variables of interest: id level A B C D.  There are 100 individual id values, 24 individual level values and values for ABCD for each level of each id.  There are a lot of missing data.  How can I determine how many complete data sets I have; i.e. data sets of ID, Level, and A B C D values that are complete.  I have looked at misstable.  It is easy to determine the number of missing  A B C D data but when it comes to seeing how many complete sets of Level A B C D , I don't know what to do.
>  I appreciate the help
>
> Don Spady
>
> Nature bats last.
>
>
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-- 
Best,
Mitch


Arnelyn Abdon
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