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Shelly Goodin 0
SAS author’s tip: SQL pass-through

Consultant Frederick Pratter continues his winning streak with this third edition of Web Development with SAS by Example. Web programmers of all levels will appreciate Frederick's many real-world examples and clean delivery. Speaking of delivery, I'd encourage those of you who attend SAS Global Forum and regional user group conferences to seek out Frederick if

Shelley Sessoms 0
New conferences for SAS Publishing

It seems we're always on the road for a SAS event...our annual conference, regional events, industry events, educational forums, and statistical conferences. You name it, and we're there. We haven't added new conferences to our rotation in a while, but that's all about to change. You'll find us at three new

Rick Wicklin 0
Recoding a character variable as numeric

The other day someone posted the following question to the SAS-L discussion list: Is there a SAS PROC out there that takes a multi-category discrete variable with character categories and converts it to a single numeric coded variable (not a set of dummy variables) with the character categories assigned as

Rick Wicklin 0
Funnel plots for proportions

I have previously written about how to create funnel plots in SAS software. A funnel plot is a way to compare the aggregated performance of many groups without ranking them. The groups can be states, counties, schools, hospitals, doctors, airlines, and so forth. A funnel plot graphs a performance metric

Shelly Goodin 0
What's your weight-in books?

Are you a book glutton, stick figure, or something in between? Does your consumption of books outweigh other interests, such as sleeping? Or are you a minimalistic reader? I’ve always tended toward reading gluttony. For me, it all started in elementary school. A classmate read 100 books before 3rd grade

Mike Gilliland 0
High on complexity

Paul Goodwin's Hot New Research column is a must-read in each issue of Foresight. The current column, "High on Complexity, Low on Evidence: Are Advanced Forecasting Methods Always as Good as They Seem?" ends with this sage advice: If the name of a method contains more words than the number of observations that

Robert Rowan 0
Seeing clearly through two I’s – innovation and inertia

In Philosophiæ Naturalis Principia Mathematica, Newton summarized a phenomenon that applies equally well to innovation and to Newtonian Mechanics:  “The vis insita, or innate force of matter, is a power of resisting by which every body, as much as in it lies, endeavours to preserve its present state, whether it

Rick Wicklin 0
Converting from base 2 to base 10

Here is a little trick to file away. Given a row vector of zeros and ones, thought of as representing a number in base 2, the following SAS/IML statements compute the decimal value of that vector. proc iml; x = {1 0 0 1 1 1}; /* number in base

Rick Wicklin 0
The great Christmas gift exchange revisited

One aspect of blogging that I enjoy is getting feedback from readers. Usually I get statistical or programming questions, but every so often I receive a comment from someone who stumbled across a blog post by way of an internet search. This morning I received the following delightful comment on

Mike Gilliland 0
Tumbling dice

Mean Absolute Percent Error (MAPE) is the most commonly used forecasting performance metric, and for good reason, the most disparaged. When we compute the absolute percent error the usual way, as APE = | Forecast - Actual | / Actual this is undefined when Actual = 0.  It can also lead to

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