Hi all. Basically im doing coding for boxplot for purpose outlier detection. I dont know what went wrong with my coding, no results no errors. I have tried FLOOR func to replace LOC, nothing happen still. code LEFT meaning, the data that clear from outlier as LOWFEN and UPPFEN are the fences to detect outlier. So how can i print the LEFT(data without outlier). my data contain 3 group.
PROC IML;
RESET NONAME;
START BP(A) GLOBAL (NY,NCOL,RMEAN,VARX,N);
RMEAN=J(NCOL(NY),1,0);
Q1=RMEAN;
Q3=RMEAN;
RMAD=RMEAN;
MADN=RMEAN;
LOWFEN=RMEAN;
UPPFEN=RMEAN;
LEFT=RMEAN;
F=1;
M=0;
DO J=1 TO NCOL(NY);
SAMP=NY[J];
L=M+SAMP;
TEMP=A[F:L];
Q=quartile (TEMP);
Q1[J]=Q[2,1];
Q3[J]=Q[4,1];
RMAD[J]=MAD(TEMP,"MAD");
MADN[J]=MAD(TEMP,"NMAD");
LOWFEN[J]=Q1[J]-(1.44*MADN[J]);
UPPFEN[J]=Q3[J]+(1.44*MADN[J]);
LEFT[J]=TEMP[LOC(LOWFEN[J]<TEMP & TEMP<UPPFEN[J])];
M=L;
F=F+SAMP;
END;
PRINT LEFT;
FINISH;
********cubaan menggunakan data yg dijana*******;
NY = {11 11 11};
A = {5,8,7,3,9,4,3,29,5,6,7,
3,2,6,4,14,4,7,6,9,3,4,
9,9,8,7,10,11,27,12,15,17,16};
QUIT;
You did not print anything. That is why nothing is printed. You defined BP and two vectors, then you quit.
First, you need to call the BP module before you quit:
RUN BP(A);
Second, in your module, you have the statement
LEFT[J]=TEMP[LOC(LOWFEN[J]<TEMP & TEMP<UPPFEN[J])];
The left-hand side of the assignment is a scalar. However, the right-hand side is *in general) a vector. You cannot assign a vector into a single element, so you will get
ERROR: (execution) Matrices do not conform to the operation.
which means that you are attempting a vector operation that doesn't make sense.
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
Learn how to run multiple linear regression models with and without interactions, presented by SAS user Alex Chaplin.
Find more tutorials on the SAS Users YouTube channel.