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In 2013 I published 110 blog posts. Some of these articles were more popular than others, often because they were linked to from a SAS newsletter such as the SAS Statistics and Operations Research News. In no particular order, here are some of my most popular posts from 2013, organized
Sure, you have a great looking table and you produce it with PROC TABULATE. And then, bam! Your boss comes along and decides that since your output looks so good in Word, that he’d like that boilerplate paragraph inserted automatically. Currently, you produce the tables and then pass the RTF
Because I began my SAS career in the Publications division, I like to think that I have a keen eye when it comes to SAS documentation. When I first visited the SAS 9.4 online documentation, I immediately noticed that it had a different look. Examine the image below; can you
Recently a user new to GTL and SG procedures asked how to create a Bland-Altman graph on the SAS Communities site. He included an image of the resulting graph to indicate what he wanted, I described to him how that graph can be created, but since he is new to the art
Welcome to the SAS administrator blog series for 2014! Back in early 2013, the most popular posts on the SAS Users Groups blog were all about the roles and responsibilites of SAS administrators. I was reminded of them during a presentation at WUSS 2013 in Las Vegas. Carey Smoak of
In my previous post I described the new Polygon plot statement that is included with the SAS 9.4M1 release. So, a valid question is - what is my motivation for discussing the new features in SAS 9.4M1 when most users are at SAS 9.3 or SAS 9.2 versions? Here are a
In November, I resumed the “it’s all about the data” series, laying a foundation for helping SAS administrators understand how SAS stores and manages data for use in business intelligence and analytic applications. For this article, I culled our internal Thotwave knowledge base and queried our consultants who get questions
My children learned this skill early in life: when you want to secure permission for a questionable activity (say, "watch 5 hours of Phineas and Ferb" or "eat a bowl of candy for breakfast"), you should approach the most lenient adult in the household. In my early days of fatherhood,
The SAS 9.4 Maintenance 1 release is now shipping to users. This is great news for GTL and SG procedures users as this release includes some useful new features. Some of these are in direct response to your requests, and others are enhancements that we think you will come to like.
Often we have situations where the category values on the graph have long character strings. This is often the case when graphing survey responses to questions. The questions may be sentences, sometimes moderately long. With SAS 9.4, GTL and SG now support the ability to display tick values split over
If there's anyone who represents the global nature of SAS software, it's Falko Schulz. He's a German who lives in Brisbane, Australia while he works for SAS R&D based in Cary, NC. Falko works on the team that produces SAS Visual Analytics, specifically the "explorer" portion of the tool. He
The farther you try to forecast into the future, the less certain you are -- how can you represent that graphically? One way is to draw a shaded/colored "confidence interval" around your forecast line, but this is something a lot of SAS users have trouble with. That's why I decided to create
Being so close before Christmas I thought it would be a good idea to see what route Santa Claus is planning this year. Not just because I'm living in Australia and Santa usually comes in t-shirts & shorts but also because it's a long way to get down here. So
We want to extend a huge thank you to everyone who donated their leftover (and excess) Halloween candy this year, you outdid yourselves!! We tipped the scales at more than 220 pounds of candy- 65 more pounds than we collected last year! Wondering what happened to all that Halloween candy?
This is the time of year when we like to make predictions about the upcoming year. Although I am optimistic about the potential of predictive analytics in the era of big data, I am also realistic about the nature of predictability regardless of how much data is used. For example, in