Tuesday's release of SAS 9.3 included the new SAS Forecast Server 4.1, which has several valuable enhancements: Combination (Ensemble) Models: A combination of forecasts using different forecasting techniques can outperform forecasts produced by using any single technique. Users can combine forecasts produced by many different models using several different combination
Welcome, SAS 9.3! I've already blogged about some interface and graphical changes that everyone should know about. Now I'll put on my statistical hat and mention a few 9.3 features that excite me, personally, as a data analyst and a statistical programmer: As a statistician, I am keen to try
Rick Wicklin created his own list of Five Interface and Graphics Features that Everyone Can Use. It's a very good summary of what you'll immediately notice when you use analytics procedures in SAS display manager: cool graphs turned on by default. For SAS Enterprise Guide users, you won't see such
Most of us grew up playing some type of sport and dreaming of becoming a collegiate or professional athlete. For me, it was a focus on dance and striving to be a professional ballerina. At some point we realized that in order to make this dream a reality, we’d have
Here are a few new interface and graphics changes that every SAS programmer should know about SAS 9.3: HTML is now the default output destination when you run the SAS windowing environment. This means that tables and graphs appear in an HTML document instead of the classic LISTING destination. Of
As I was reviewing notes for my course "Data Simulation for Evaluating Statistical Methods in SAS," I realized that I haven't blogged about simulating categorical data in SAS. This article corrects that oversight. An Easy Way and a Harder Way SAS software makes it easy to sample from discrete "named"
Alison posted the Top 10 Reasons you should care about SAS 9.3. It's a bit tongue-in-cheek, but it reflects just a sample of the thousands of features and tweaks that you'll see in this new release. Even with SAS 9.2, I was nowhere near exhausting my backlog of blog topics...but
It seems like such a simple problem: how can you reliably compute the age of someone or something? Susan lamented the subtle issues using the YRDIF function exactly 1.0356164384 years ago. Sure, you could write your own function for calculating such things, as I suggested 0.1753424658 years ago. Or you
Arnold Loewy, professor of criminal law at Texas Tech University, wrote an editorial about the Casey Anthony case that has statistical undertones. Prof. Loewy discusses the fact that there are two kinds of errors that can occur in a court trial: an innocent person can be sent to jail or
SAS Enterprise Guide sets values for several useful SAS macro variables when it connects to a SAS session, including one macro variable, &_CLIENTPROJECTPATH, that contains the name and path of the current SAS Enterprise Guide project file. (To learn about this and other macro variables that SAS Enterprise Guide assigns,
"Always clean up after yourself." My mother taught me this, and I apply it to SAS programming as regularly as I apply it at home. For SAS programming, I reinterpret Mom's saying as the following rule: Always delete temporary files and data sets when you are finished using them. How
As I write this, SAS 9.3 has not yet been "shipped", but its release is imminent. I've already heard many questions about how SAS Enterprise Guide works with the new version, so I decided to write this "Frequently-soon-to-be-asked questions" document to help sort it out. What version of SAS Enterprise
One of the joys of statistics is that you can often use different methods to estimate the same quantity. Last week I described how to compute a parametric density estimate for univariate data, and use the parameters estimates to compute the area under the probability density function (PDF). This article
The recent issue of InformationWeek features a Q&A session with Ken Thompson, one of the creators of the Unix operating system. (He collaborated with Dennis Ritchie, of C language fame. Since much of SAS is written in C, I daresay there are a few copies of K&R around here.) One
If you create a scatter plot of highly correlated data, you will see little more than a thin cloud of points. Small-scale relationships in the data might be masked by the correlation. For example, Luke Miller recently posted a scatter plot that compares the body temperature of snails when they
Here at SAS Press, we offer a strong, stable publishing team with over 55 years of combined experience. But as a potential author (or even current one) or fan of our press, you might want to get a better feel for the people behind the book. Thus a new feature,
In a previous article, I discussed random jittering as a technique to reduce overplotting in scatter plots. The example used data that are rounded to the nearest unit, although the idea applies equally well to ordinal data in general. The act of jittering (adding random noise to data) is a
Last week, I attended the International Center for Leadership in Education’s Model Schools Conference in Nashville, TN, where I learned about many forward-thinking education initiatives taking place across the country. My colleagues and I also had the privilege of facilitating a SAS(r) EVAAS for K-12 presentation from two principals at
Jittering. To a statistician, it is more than what happens when you drink too much coffee. Jittering is the act of adding random noise to data in order to prevent overplotting in statistical graphs. Overplotting can occur when a continuous measurement is rounded to some convenient unit. This has the
The area under a density estimate curve gives information about the probability that an event occurs. The simplest density estimate is a histogram, and last week I described a few ways to compute empirical estimates of probabilities from histograms and from the data themselves, including how to construct the empirical
In my statistical analysis of coupons article, I presented a scatter plot that includes the identity line, y=x. This post describes how to write a general program that uses the SGPLOT procedure in SAS 9.2. By a "general program," I mean that the program produces the result based on the
In Base SAS you can use the DATASETS procedure to determine the SAS data sets in a library, and you can use the DELETE statement to delete data sets. Did you know that you can do the same operations from within the SAS/IML language? The following DATA step creates four
About a year ago (wow, has it been that long?), I posted an example program that lets you report on the contents of a SAS information map. Using my example, you can see the data items, filters, and folder structure within a given information map. Last week a reader posted
Readers' comments indicate that my previous blog article about computing the area under an ROC curve was helpful. Great! There is another common application of numerical integration: finding the area under a density estimation curve. This article provides an overview of density estimation and computes an empirical cumulative density function.
This is Part 4 of my response to Charlie Huang's interesting article titled Top 10 most powerful functions for PROC SQL. As I did for eaerlier topics, I will examine one of the "powerful" SQL functions that Charlie mentions and show how to do the same computation in SAS/IML software.
As far as numbers go, the number zero is rather mysterious for data. Is it something or is it nothing? What happens when you have missing data but enter 0? This topic triggered an intriguing discussion in my recent Programming 2: Data Manipulation Techniques class. In this post I’d like
We sometimes take it for granted, but the concept of the "SAS library" is just about one of the most awesome aspects of The SAS System. You can give your library a name (a library reference, or libref), tell the system how to get to your data (options on a
A reader commented to me that he wants to use the HISTOGRAM statement of the SGPLOT procedure to overlay two histograms on a single plot. He could do it, but unfortunately SAS was choosing a large bin width for one of the variables and a small bin width for the
Recently Charlie Huang showed how to use the SAS/IML language to compute an exponentially weighted moving average of some financial data. In the commentary to his analysis, he said: I found that if a matrix or a vector is declared with specified size before the computation step, the program’s efficiency
SAS-based processes are critical to many organizations, but sometimes the trickiest part of your job falls into one or both of these activities: Getting stuff from the outside world "into" SAS. (Once it's in SAS, as many of you know, the world is your oyster.) Getting the output of your
