This is the fifth post in the SASonality series. In this week’s post, I’ve interviewed Rick Langston, a man most SAS users have met or read about. He’s been with SAS for 30 years and attended nearly every SUGI/SAS Global Forum. In the photo at the right, Rick is the
If outliers could scream, would we be so cavalier about removing them from our history, and excluding them from our statistical forecasting models? Well, maybe we would – if they screamed all the time, and for no good reason. (This sentiment is adapted from my favorite of the many Deep
It's almost 2011, so let's reflect on the top 11 posts (by number of visits in 2010) on this blog. Not all of these posts were written in 2010; in fact, some of these date back to 2007. But apparently they are oldies and goodies. 1. SAS 9.2 and SAS
Many years ago I served as the program manager for the NC Alternative Fuel Vehicles program. The goal of the program was to promote the usage of various vehicle types that were alternatives to gasoline powered vehicles. One of the main programs in this set of grants was the Clean
A customer phoned up SAS Technical Support the other day with a problem. (Yes, that happens occasionally...) When he ran a certain program through SAS Enterprise Guide, the program didn't seem to complete and no results were returned. Here is a snippet of the program (modified a bit to make
This is the week that I’m supposed to clean up my office (I won’t.), and things are supposed to slow down (They have a little.). Some folks are still here physically at work, but I think that their hearts and minds are elsewhere! Most everyone is in the mood for
In the few months before SAS Global Forum 2011, I'd like to introduce you to as many special SAS personalities as possible. As you probably know, I've labeled their special character, SASonality. In today's post, I'm introducing you to Rick Wicklin. Rick and I have never met face-to-face, but I
When I wake up early to write my blog, I often wonder, "Is anyone going to read this?" Apparently so. I started writing The DO Loop in September, 2010. Since then, I've posted about 60 entries about statistical programming with SAS/IML software. Since this is a statistical blog, it is
You might be too young to remember Clara Peller. She was the star of a series of fast-food burger commercials in the 1980s, in which she demanded meatier meals by shouting "Where's the beef?" at the pickup counter or drive-through window. Alas, the competitor restaurant meals were afflicted with "Fluffy
When I joined SAS Institute I had no knowledge of SAS. I studied, researched and practiced. The questions I asked would make even the most seasoned programmer blush a beetroot red! Those were an intense nine months—I’ll tell you more in a later post about the learning system at SAS
When I finished writing my book, Statistical Programming with SAS/IML Software, I was elated. However, one small task still remained. I had to write the index. How Long Should an Index Be? My editor told me that SAS Press would send the manuscript to a professional editor who would index
Paula Joshi wrote last month about how what we learn from the commercial world can be applied in government. She also promised to post a few examples. I’ll get that ball rolling. This week SAS announced the availability of SAS Enterprise Case Management. While the announcement focuses more on the
Recently, I needed to detect whether a matrix consists entirely of missing values. I wrote the following module: proc iml; /** Module to detect whether all elements of a matrix are missing values. Works for both numeric and character matrices. Version 1 (not optimal) **/ start isMissing(x); if type(x)='C' then
This year’s winners of the Best Paper Award at SAS Belux Forum 2010 have been given a trip to SAS Global Forum 2011 in Las Vegas. Attending any SAS users group event is an exciting opportunity to meet other SAS users and learn new ways to use SAS, but this
NOTE: SAS stopped shipping the SAS/IML Studio interface in 2018. The references in this article to IMLPlus and SAS/IML Studio are no longer relevant. There are three kinds of programming errors: parse-time errors, run-time errors, and logical errors. It doesn't matter what language you are using (SAS/IML, MATLAB, R, C/C++,
Here is my published Google Reader bundle that contains all of the SAS- or analytics-related blogs that are maintained by customers or others in the SAS community (excepting those by SAS employees, for which I have a different bundle). Blogs by SAS Customers AFHood Analytics Group - Blogs AnnMaria's Blog
These are the blogs that I follow that happen to be written by SAS employees. I've assembled them into a Google Reader bundle, which I have shared. I have another bundle for SAS-related blogs written by others in the community. Blogs by SAS Employees A Shot in the Arm Blog-Normal
I helped to write a quiz for the Computer Science Education Week promotions that were featured on our company intranet. Do you fancy yourself as a Comp-Sci aficionado? Let's see how you do with these. 1. Which achievement is Charles Babbage most famous for? A. Establishing software retail shops in
While insufficiently endowed to be called a "get rich quick" scheme, here is a good way to pocket an extra $5,000 for your holiday shopping budget, and contribute to the body of forecasting knowledge. For the ninth straight year, SAS announces funding of two $5,000 research grants to be awarded
Imagine you are attending the BCS National Championship game next month. You have invested top dollar in your seats and you have been anticipating the game for weeks. You settle in to your seat with your hot dog, soft pretzel, and your favorite beverage a few minutes before kick-off because
Both covariance matrices and correlation matrices are used frequently in multivariate statistics. You can easily compute covariance and correlation matrices from data by using SAS software. However, sometimes you are given a covariance matrix, but your numerical technique requires a correlation matrix. Other times you are given a correlation matrix,
I connect to more SAS server environments than your average SAS user. In a given week, I probably run SAS Enterprise Guide connecting to at least five different Windows-based servers, a few Unix-based servers, and maybe even a z/OS machine as well. With that many SAS environments, I'm bound to
Sample covariance matrices and correlation matrices are used frequently in multivariate statistics. This post shows how to compute these matrices in SAS and use them in a SAS/IML program. There are two ways to compute these matrices: Compute the covariance and correlation with PROC CORR and read the results into
I enjoy reading about the Le Monde puzzles (and other topics!) at Christian Robert's blog. Recently he asked how to convert a number with s digits into a numerical vector where each element of the vector contains the corresponding digit (by place value). For example, if the number is 4321,
Computer science is more than the pursuit of "let's see what we can make this computer do." If that's your only goal, then you might make a fine computer geek, but a lousy computer scientist. In her blog post for Computer Science Education Week, Caroline McCullen reminds us that computer
In this ongoing series about people with SASonality, today’s introduction is Diane Hatcher, a Solutions Architect from SAS Technology Practice. Diane and I had exchanged e-mails many times before meeting face-to-face for the first time at SESUG 2010. Every time I passed through the SAS Solutions Center, I noticed that
The SAS/IML language enables you to perform matrix-vector computations. However, it also provides a convenient "shorthand notation" that enables you to perform elementwise operation on rows or columns in a natural way. You might know that the SAS/IML language supports subscript reduction operators to compute basic rowwise or columnwise quantities.
I'm back in the office after two enjoyable days at the Internet Summit in Raleigh, NC. (I hadn't seen that many nerds since the family reunion on my dad's side.) Among the many good sessions was one about building your blog audience by making the blog more search friendly. The
My last post was a criticism of a statistical graph that appeared in Bloomberg Businessweek. Criticism is easy. Analysis is harder. In this post I re-analyze the data to present two graphics that I think should have replaced the one graphic in Businessweek. You can download the SAS program that
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
