Re: st: detecting a complete data set

[Mitch Abdon <mitchaabdon@gmail.com>]

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 <dspady@ualberta.ca> 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.
>
>
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
>



-- 
Best,
Mitch


Arnelyn Abdon
+639178034402
http://statadaily.wordpress.com
http://www.facebook.com/pages/Stata-Daily/116477895082525

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