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deleted_user
Not applicable
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!
1 REPLY 1
Doc_Duke
Rhodochrosite | Level 12
Take a look at the ODS statistical graphics for proc CORR. You could do all your scatterplots with 3 lines.

add
ODS graphics on:
before the PROC; add
ODS GRAPHICS OFF;
after it.
Modify the PROC statement to add the options that you want for the plots (look at the SAS reference on the Web).

Doc

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