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As promised, here is a better combined AE-CM graph, using some of the UI improvements suggested by our UI expert, Riley. His suggestions helped to reduce the clutter in the graph, while still keeping all the features preferred by our users. Click on the graphs for a higher resolution image.
This week's SAS tip is from Ron Cody and his very popular book Learning SAS by Example: A Programmer's Guide. If you haven't yet discovered Ron Cody's work, you're missing out. Fortunately, you can learn a lot more about Ron and his many books--as well as view bonus content here. The following excerpt
With the release of SAS 9.4 (which included SAS/STAT 12.3 and SAS Enterprise Guide 6.1), you might seriously consider hiring a Chief Versions Officer (CVO). Fortunately, most of the recent versions of SAS Enterprise Guide work with the different recent versions of SAS, so you have some flexibility as you
Missing San Francisco already? I caught up with the SAS Global Forum 2013 paper winners and asked them to share some of their insights about their work, the conference and what they took away from the experience. To kick off this series, I've posted their words of wisdom for other SAS Users. The question was
Our perceptions can impact others and influence decisions. As a result, I always like to understand each customer's perception of what SAS is and what we do. There is no right or wrong answer to this question, however the response provides me with a chance to listen to our customers.
How old is your version of SAS software? The graph on the left shows the release dates for various releases of SAS software, beginning with SAS 8.0. The graph is based on a graph on Jiangtang Hu's blog that shows the major SAS releases. As this graph demonstrates, SAS software
Industry-changing dynamics like mobility, smart products, social media and embedded computing put a premium on big data and the insights you can gain from organizational data. As a result, the opportunity to be disruptive with analytics has never been greater. Yet, when it comes to making analytics work, not all organizations
At the SAS Global Forum 2013 in San Francisco, I presented a paper on making Patient Profile Graphs using SAS. You can follow the link to see the graphs presented in this paper. In that paper, I presented ways to create AE, CM, VS and Lab graphs. I discussed aligning the
Previously I've described how you can use SAS Enterprise Guide to send an e-mail message using Gmail as your e-mail provider. In the article, I mentioned that you can also write SAS programs that send e-mail messages, but at the time you could not reach Gmail using the FILENAME EMAIL
Users often ask if there are any major tuning efforts that need to be made in order for SAS to execute ideally in a virtual environment. The quick answer is "not really". The longer answer is “it helps to set up your virtual environment properly.” There are a few minor
I travel to many conferences throughout the year, and I’ve heard a lot of keynote speeches. Many of them stick with me for a few hours. But one speech I heard three years ago stuck with me for weeks. And then I heard it again at a regional conference. I
From an Enterprise Guide user's perspective, a SAS library is a library. Whether it was defined in the autoexec or in the metadata or by magic, it is there for them to use with no issues. However, there is a difference as metadata defined libraries do not behave in the
One of my favorite features of SAS/IML 12.1 (released with 9.3m2) is that the USE and CLOSE statements support reading data set names that are specified in a SAS/IML matrix. The IMLPlus language in SAS/IML Studio has supported this syntax since the early 2000s, so I am pleased that this
This week's SAS tip is from Michele Burlew and her latest book SAS Hash Object Programming Made Easy. Michele is the author of several extremely helpful SAS books. Visit her author page to read free chapters and for additional bonus content. The following excerpt is from SAS Press author Michele
The truncated normal distribution TN(μ, σ, a, b) is the distribution of a normal random variable with mean μ and standard deviation σ that is truncated on the interval [a, b]. I previously blogged about how to implement the truncated normal distribution in SAS. A friend wanted to simulate data