Have you used multivariate procedures in SAS and wanted to save out scores? Some procedures, such as FACTOR, CANDISC, CANCORR, PRINCOMP, and others have an OUT= option to save scores to the input data set. However, to score a new data set, or to perform scoring with multivariate procedures that
Japan has a superfast train called the Shinkansen. The first I heard of it was when my sister visited Japan on a scholarship. Engine-awestruck, we wanted a ride, but weren’t able to get to Japan. Nor, did we know the language. (With over 5000 kanjis, it took my sister 3
I was building a nice little PDF report the other day. I love the way ODS PDF replicates the SAS Results window navigation structure as PDF bookmarks, but... I'd much rather write the text for the bookmarks myself. So, I decided to "use the SAS" and make ODS do my
Many SAS users receive data in the form of CSV (Comma Separated Value) files, and need to convert them to SAS data sets. A typical record in a CSV file might look like this: Jeter,Derek,1995,,234,”22,600,000” Note the following about the record above: There is no data for the fourth field,
Last week, a student in my Mixed Models Analysis Using SAS class sent in the following text message during a discussion of crossover designs (sometimes known as ABBA designs, where factors vary within subjects, not ABBA designs where you’re like a Super Trouper). Does it make sense to look at
Our M2010 Data Mining Conference keynote speaker, Dick De Veaux from Williams College just finished his entertaining and informative presentation. He thoughtfully noted that our location (Las Vegas) is very appropriate for the subject of his presentation. Are you guilty of any of these data mining sins? Luckily, Dick also
Contributed by Christine Kjellberg, Marketing Specialist and Joel Wilson, Systems Administrator As Stacey and I have mentioned in previous posts, we have expanded our study group to include another co-worker, Joel Wilson. The three of us meet weekly to review and discuss all things certification-related. Today’s installment of Open Mic
Delicious Mixed Model Goodness Imagine the scene: You’re in your favorite coffee shop, laptop and chai. The last of the data from a four-year study are validated and ready for analysis. You’ve explored the plots, preliminary results are promising, and now it is time to fit the model. It’s not
In this interview, Robin Way, SAS Analytics Consultant talks about attending the M2010 Data Mining Conference for the fourth time (this year he'll be a speaker for the second time!), his talk on demystifying sequence analysis, his favorite part of the conference and his advice for first time attendees. My
SAS allows for three different cube storage mechanisms: 1. MOLAP The traditional SAS OLAP Cube will all aggregations / nway stored on a physical file structure accessible by the SAS OLAP Cube Server. 2. ROLAP A relational OLAP cube - where no aggregations are stored and SAS points to the
