Hi,
I've problem in intercepting errors in proc model. Is there a macro variable that I can use to do it? I've tried with &syserr but with no siìuccess.
Here is an example:
22 data test;
23 do i = 1 to 20;
24 x = 5 * ranuni(1234);
25 y = 10 + 2 * sqrt(x) + .5 * rannor(2345);
26 output;
27 end;
28 run;
NOTE: The data set WORK.TEST has 20 observations and 3 variables.
NOTE: DATA statement used (Total process time):
real time 0.04 seconds
cpu time 0.00 seconds
29
30 proc model data=test;
31 y = a + b * x ** c;
32 label a = "Intercept"
33 b = "Coefficient of Transformed X"
34 c = "Power Transformation Parameter";
35 fit y;
36 run;
NOTE: The iteration limit is exceeded for OLS.
ERROR: The parameter estimates failed to converge for OLS after 100 iterations using
CONVERGE=0.001 as the convergence criteria.
37
38 %put &syserr &syserrtext;
WARNING: Apparent symbolic reference SYSERRTEXT not resolved.
0 &syserrtext
Thank you very much
Federica
Found in the doc :
PROC MODEL stores a return code in the automatic macro variable SYSINFO upon
completion of the PROC MODEL step. In the event any FIT or SOLVE task fails to
converge during the completion of a PROC MODEL step the value 1 is stored in the
SYSINFO macro variable. Any subsequent SAS step will reset the value of SYSINFO.
PG
Hi Federica,
The problem is that SYSINFO is set "on completion of a PROC MODEL step". That's why it's adviced to use:
proc model data=test;
y = a + b * x ** c;
label a = "Intercept"
b = "Coefficient of Transformed X"
c = "Power Transformation Parameter";
fit y;
quit; /* This is the missing statement */
%put SYSINFO=&sysinfo;
Now it works!
Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.
Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.