Hi all, Does anyone have some good book to recommend concering propensity modeling using SAS Base? That would describe the data mining view as well as the scoring view? In addition any book that is entirely focused in clustering using SAS Base? Kind regards and thnx in advance ... View more

Hi all, Does anyone have some good book to recommend concering propensity modeling using SAS Base? That would describe the data mining view as well as the scoring view? In addition any book that is entirely focused in clustering using SAS Base? Kind regards and thnx in advance ... View more

Hi all, I was wondering if there is a procedure in SAS Base in order to identify in a dataset the type of each variable and i dont mean if it is numeric or character, i am looking for a deeper approach like if it is nominal ,ordinal or continuous. Any ideas? Thnx in advance Aristos ... View more

Hi all, I am kinda stuck at something and i would appreciate any help available. I have ran a proc ucm for some sales data using a variable like promotion as well as level ,trend and season. I proceed with a forecast to test my models fit. In the outfor dataset i cant seem to be able to see the contribution in the forecasted value that is generated from my x variable (promotion), i only see from the unobserved components, What could i do? cause my goal is to show in the end that the forecasted value consists of lets say 20% level, 20% season and a percent of my x variable(promotion). Kind regards, ... View more

Hi all, Lets say that i have three levels of variables..Level 1 with 100 categories, Level 2 with 10 categories and level 3 with 5 activities. How could i create a times series for them per each category?, thus i am looking to create 100 x 10 x 5 time series. Kind regards ... View more

Hi all, I did some research but could use a confirmation. 1) Cluster procedure: proc cluster data = /* WHICH DATA */              method=ward /* WHAT LINKAGE */              outtree=   ccc pseudo print=15/* OUTPUT DATA INCLUDING SOLUTION */;              id CHOSEN ID /*VAR THAT WILL BE CLUSTERED */; var   /*VARS TO BE CLUSTERED */; run; /*Produce tree so as to see the shape of solution */ ods graphics on; proc tree nclusters=5 /* HOW MANY CLUSTERS */           data= /* OUTPUT DATA OF STEP 1 IS INPUT DATA IN STEP 2 */           out=/* FINAL DATA INCLUDING SOLUTION */; id chosen ID; run; ods graphics off; proc sort data = out=; by Cluster; run; proc means data =; output out=; run; proc fastclus data=<newdata> maxclusters=<nclusters> seed=<centroids> maxiter=0 out=<scored> My question here is how the proc means syntax should be cause it doesnt make sense to use the output from the tree that contains only the cluster and ID. 2) Fastclus proc fastclus data= outstat= maxclusters=5; var ; id chosen ID; run; proc means data= proc fastclus instat= out=score data; run; Same here as above  regarding the proc means syntax, what should be my input? Thnx in advance ... View more