PROC DISCRIM ERROR

[mariange8282]

Hi, I'm processing data. I have some specials sets that SAS consider as a currupt and then it ignored. 

I have clusters, in some cases SAS ignore all the information on an specific cluster, then I try to run PROC DISCRIM the error appear:

CODE:

proc discrim data=clust method=normal pool=test crossvalidate;
priors proportional;
class cluster;
var &vars;

This code generally work good for others datasets. So, thats not the problem. 

ERROR:

WARNING: 5876 observations in DATA= data set or BY group will not be included in the analysis due to missing values.

WARNING: The following classes were excluded from the analysis due to missing or invalid values in VAR, FREQ or WEIGHT variables:

4

2

3

.

WARNING: A total of 5876 of the 7357 observations in the DATA= data set were excluded (frequency sum = 1481).

ERROR: At least 2 complete classes are required in DATA= data set or BY group.

I just would like to ignore that dataset, but I dont know what is the condition to do it.

Thanks

[PGStats · Accepted solution]

I would try counting the non empty classes with something like this:

proc sql;
select count(distinct cluster) into :nClass
from clust
where nmiss(%sysfunc(translate(&var,%str(,),%str( ))))=0;

%if &nClass > 1 %then %do;
proc discrim...
%end;

(untested)

[mariange8282]

You just safe my thesis.

Thank you so much