04-06-2017
rif_160
Calcite | Level 5
Member since
03-13-2017
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Latest posts by rif_160
Subject Views Posted 1521 03-29-2017 07:54 AM 1546 03-23-2017 12:07 PM 983 03-23-2017 06:45 AM 1562 03-23-2017 06:36 AM 988 03-23-2017 06:32 AM -
Activity Feed for rif_160
- Posted Re: Diagnostic Statistics plot on Graphics Programming. 03-29-2017 07:54 AM
- Posted Re: Diagnostic Statistics plot on Graphics Programming. 03-23-2017 12:07 PM
- Posted Re: Proc GENMOD output on SAS Procedures. 03-23-2017 06:45 AM
- Posted Diagnostic Statistics plot on Graphics Programming. 03-23-2017 06:36 AM
- Posted Proc GENMOD output on SAS Procedures. 03-23-2017 06:32 AM
03-29-2017
07:54 AM
thanks, it worked with HTML but diagnostic plots are still not displayed in HTML. they are saved separately. but sometimes i get an error message that location has no permissions to wirte although i have specified the location i am wokring in. sometimes it funcitons properly.
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03-23-2017
12:07 PM
thanks for your reply. i have seen the documents you have mentioned. but i can not see any graphs in the graphs window, results are in tabular form only in the output window. ods graphics on;
proc genmod data=SASHELP.MARGARIN descending;
class brand;
model choice=brand logprice/ dist=bin type3 link=logit;
bayes nbi=1000 nmc=10000 thin=2 seed=159 plots=autocorr;
run;
quit; thats the code i am using. i am using SAS on Demand for Academics.
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03-23-2017
06:45 AM
Posterior Correlation Matrix
Brand Brand Brand Brand Brand
Parameter Intercept PBB PFl PGen PHse PPk
Intercept 1.000 -0.829 -0.688 -0.738 -0.820 -0.888
BrandPBB -0.829 1.000 0.566 0.617 0.676 0.742
BrandPFl -0.688 0.566 1.000 0.510 0.561 0.609
BrandPGen -0.738 0.617 0.510 1.000 0.594 0.653
BrandPHse -0.820 0.676 0.561 0.594 1.000 0.727
BrandPPk -0.888 0.742 0.609 0.653 0.727 1.000 for this posterior corelation matrix, output will be interprted as for example, Brand PBB and Brand PPk are strongly corelated as 0.742 is close to 1. ????
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03-23-2017
06:36 AM
i want to get an output for diagnostic graphs. ods graphics on;
ods listing gpath="/home/rif_160/";
proc genmod data=SASHELP.MARGARIN descending;
class brand;
model choice=brand / dist=bin type3 link=logit;
bayes nbi=1000 nmc=10000 thin=2 seed=159 plots=trace;
run;
quit; can someone tell me how to get the output in form of graphs???
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03-23-2017
06:32 AM
i am exploring SAS Enterprise Miner right now. i am working with proc Genmod. Analysis Of Maximum Likelihood Parameter Estimates
Standard Wald 95% Confidence
Parameter DF Estimate Error Limits
Intercept 1 -2.5659 0.0666 -2.6964 -2.4354
Brand PBB 1 1.0135 0.0804 0.8559 1.1711
Brand PFl 1 -0.2243 0.0991 -0.4185 -0.0301
Brand PGen 1 0.2179 0.0901 0.0413 0.3945
Brand PHse 1 0.9059 0.0814 0.7465 1.0654
Brand PPk 1 2.3614 0.0750 2.2145 2.5083
Brand PSS 0 0.0000 0.0000 0.0000 0.0000
Scale 0 1.0000 0.0000 1.0000 1.0000
NOTE: The scale parameter was held fixed. to my understanding, i am reading the output like, for example for Brand PPk estimate is 2.3614. that means this brand is 2.3614 likely to be the choice than the other 5. and for brand PSS its 0.0000 that means it was never choosed. Am i right in onterpreting the results???
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