Hello, G’Day, Hola, Hej, Bonjour, Hallo! In April SAS users travel across the world to the SAS Global Forum in San Francisco. If you are arriving early – then you’re invited to a special event.
Tweeps Unite!
There is an informal, pre-conference gathering for tweeps on Saturday 27th April at 8 PM at the Marriott Marquis. …
The post Attending SAS Global Forum 2013? You Are Invited to a TweetUp! appeared first on Business Intelligence Notes for SAS® BI Users. Written by Tricia Aanderud.
A piece of SAS codes to create a list of all variables within a dataset (a nice programming trick from Art Carpenter, 2004): %macro getvars(dset) ; %local varlist ; %let fid = %sysfunc(open(&dset)) ; %if &fid %then %do ; %do i=1 %to %sysfunc(attrn(&fid,nvars)) ; %let varlist= &varlist %sysfunc(varname(&fid,&i)); %end […]
Multilevel models (also called hierarchical linear models) are used to analyze clustered or grouped data, as well as longitudinal or repeated measures data. Consider the simple scenario shown below, where Y is continuous and is shown as a function of a…
If you have data where the observations are not independent due to nesting or clustering, you may need a multilevel model. Another scenario that would require a multilevel model is if you have data where observations have been gathered multiple times o…
This is the last of what I planned as a three-part miniseries sharing some thoughts on using SAS Enterprise Guide as a programmer. The first couple posts described what I think of as big benefits of Enterprise Guide: using process flows as a workspace to organize the code in a …
The post These are a Few of My Favorite Things… about the SAS Enterprise Guide Program Editor appeared first on Business Intelligence Notes for SAS® BI Users. Written by Quentin McMullen.
If you’re a new SAS user, you may already be aware that SAS has created specific training and support materials to help you get started with SAS, such as our Getting Started with SAS introductory courses page. However, if you’re not 100 percent sur…
Bob at r4stats.com claimed that a linear mixed model with over 5 million observations and 2 million levels of random effects was fit using lme4 package in R:
I am always interested in large scale mixed model like this and would appreciate anyone w…
Are you a new SAS user who isn’t sure where to begin? Have no fear, because you’re not alone. Here at SAS, we often receive questions from people who need help getting started with the software. Getting Started with SAS is the topic of a SAS Talks session that I […]