topic Re: ERROR: (execution) Matrices do not conform to the operation. in SAS/IML Software and Matrix Computations

ERROR: (execution) Matrices do not conform to the operation.

AM2323 — Tue, 21 Apr 2015 16:53:31 GMT

Hi everyone. I have a question regarding multiplying matrices. I already read Interpreting PROC IML error messages: Matrices do not conform to the operation suggested in other boards and I still do not understand why I get this message. I understand that if I want to multiply xbeta = x # beta; the number of columns in X have to be equal to the rows in beta, right? I am running SAS 9.4

This is part of my code:

xbeta = x#beta;

se= sqrt (vecdiag(x#cov#x`));

lower =xbeta - (1.96 # se);

upper =xbeta + (1.96 # se);

When I run the operation I get this on the log:

ERROR: (execution) Matrices do not conform to the operation.

operation : # at line 15164 column 14

operands : X, BETA

X 502 rows 6 cols (numeric)

BETA 6 rows 1 col (numeric)

And also when I try to perform this operation x#cov

operation : # at line 15164 column 80

operands : X, COV

X 502 rows 6 cols (numeric)

COV 6 rows 6 cols (numeric)

What am I doing wrong? Thanks!

Re: ERROR: (execution) Matrices do not conform to the operation.

gergely_batho — Tue, 21 Apr 2015 17:18:44 GMT

# is elementwise multiplication.

* is matrix multiplication

Re: ERROR: (execution) Matrices do not conform to the operation.

AM2323 — Tue, 21 Apr 2015 17:28:02 GMT

When I change # to * I get the following error.

ERROR: (execution) Invalid argument or operand; contains missing values.

operation : * at line 15164 column 14

operands : X, BETA

X 502 rows 6 cols (numeric)

BETA 6 rows 1 col (numeric)

Re: ERROR: (execution) Matrices do not conform to the operation.

Rick_SAS — Tue, 21 Apr 2015 17:28:53 GMT

See "Ways to multiply in the SAS/IML Language"

Re: ERROR: (execution) Matrices do not conform to the operation.

Rick_SAS — Tue, 21 Apr 2015 17:32:30 GMT

Matrix multiplication does not support missing values. If you are trying to mimic the usual OLS regression, you should remove the rows with missing values. This article might be useful:http://blogs.sas.com/content/iml/2015/02/23/complete-cases.html