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Andrea1 · ‎04-22-2016

Hi, I am working with exclusively binary and categorical variables where almost all of them have missing data. So, I am using the PROC MI with the FCS statement to impute them. I have several nominal variables to impute but I can't figure out the difference between using the statement logistic(,link=glogit) or discrim(, classeffects=include) knowing that none of my effects are continuous. The results aren't the same for these methods but I can't understand what is the difference and which one should I use ? Thanks for your help ! Let me know if you need more details Andréa

Resa · ‎03-17-2023

We are trying to make use of the REST Transformation (DIS v4.904) in order to retrieve data using PROC HTTP. However in our environment we have to specify a proxy (as also shown in this example for PROC HTTP). As far as I can determine the transformation does not provide the possibility for setting either the proxyhost or proxyport. Am I overlooking something? If not, did anyone make a "User Transformation" based on the REST Transformation including the possibility to specify a proxy?

ernjyen

Nayak1

Hi, can anyone guide me regarding the steps related to email settings at the SAS level, i.e. how to send emails using the SAS enterprise guide and e-mail SMTP Setup with Microsoft Office 365?

bhr-q

I need to add a horizontal reference line at 90% to represent my target in the p-chart. When I put href=0.9 in my code I got the following warning "WARNING: Numeric href= values are incompatible with a character subgroup variable; HREF= lines are not displayed." The warning indicates that the href value is not compatible because the subgroup variable, quarter, is treated as a character data type. How to include the target line? Here is my code: proc shewhart data=tmp2; pchart yes_answer1*quarter/ markers subgroupn = total_count1 nohlabel Href=0.9; run;