hiii....
i have a dataset which have 3600 fielsd and is extremely sparse.
i want to replace 30 % of missing value with some estimaed vales.......
i also have a column which indicates that the current record belongs to a specific cluster....
i want for each record in each clsuter do the follwoing:
replace 30 % of missing values with for example avrage values in correspoding cluster..
so i think i need implement a loop to filter records for each cluster and then proceed ...
i do not know how to implement the loop
can anyone help please?
edited:i used group loop start and it seems to be what i am looking for......but how can i calculate an avrage of all fields for one record? about 3600 fields
