Hi everyone,
I'd like to get help with generating a similar plot as below. The data has the continuous variable COST and two categorical variables A and B. I wanted to compare COST of different groups of A and B through the visualization.
Anyone has a suggestion about where to start? PROC ANOVA, PROC SGPLOT or PLOT GLM?
Thanks a lot!
I would use PROC GLM. Something like the following should get you started.
data A;
call streaminit(123);
do A = 1 to 3;
s = 10*(A-2)**2;
mean = 70 + 3*(A-2)**2;
do B = 1 to 4;
do i = 1 to 10;
COST = B + rand("Normal", mean, s);
output;
end;
end;
end;
run;
ods graphics on;
proc glm data=A;
class A B;
model COST = A | B;
run;
I would use PROC GLM. Something like the following should get you started.
data A;
call streaminit(123);
do A = 1 to 3;
s = 10*(A-2)**2;
mean = 70 + 3*(A-2)**2;
do B = 1 to 4;
do i = 1 to 10;
COST = B + rand("Normal", mean, s);
output;
end;
end;
end;
run;
ods graphics on;
proc glm data=A;
class A B;
model COST = A | B;
run;
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and save with the early bird rate—just $795!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.