Hi all,
I currently have 10 explanatory variables, and I would like to compare each one against 1 common dependent variable, separately (which would require 10 different scatterplots).
My current process is pretty tedious, it involves the finding the average of the dependent variable for each occurence of each explanatory variable (sample code below)
PROC SQL;
CREATE VIEW LINE_SUMMARY1 AS
SELECT b1_last12,
AVG(BAD) AS BAD_AVG
FROM WORK.OUTCOME2
GROUP BY b1_last12
ORDER BY b1_last12;
QUIT;
Then plotting out the explanatory variable against the average outcome of the dependent variable
PROC GPLOT DATA = LINE_SUMMARY1
;
PLOT BAD_AVG * (B1_last12) /
RUN;
As it stands, I basically have to run these portions 10 times (for each explanatory var.). Is there some way to simplify this process? Thanks!