All Posts
In spite of years of research and recommendations on bone health, we still have considerably high rates of osteopenia and osteoporosis in the US. That leads us to believe we haven’t yet uncovered all we need to know about protecting our bones. But, thanks to new research we’re learning new
Recently, I was asked whether SAS can perform a principal component analysis (PCA) that is robust to the presence of outliers in the data. A PCA requires a data matrix, an estimate for the center of the data, and an estimate for the variance/covariance of the variables. Classically, these estimates
Take a minute to think of all the television programs you have watched throughout your lifetime. For me? Arthur, The Rugrats, Doug, Full House, Family Matters, Clarissa Explains It All, The Jeffersons, The Golden Girls, Pete and Pete, The OC, Laguna Beach, The Office, Scrubs, Scandal, The Real Housewives of fill in
One key aspect of graphs used in the statistical or clinical research domains is the need to display numerical or textual information aligned with the data in the plot. Examples of such graphs are the Survival Plot or the Forest Plot. These graphs use the AXISTABLE statements available with SAS
If I’m having a tough week, I might feel sorry for myself for a minute or two. But to snap myself out of it, all I have to do is think of the data managers. Those folks have to contend with duplicate records, bad information, data proliferation, accountability, permissions, privacy,
Joyce Norris-Montanari says focus on data quality and governance, privacy and security when providing data on demand.
A SAS customer asked, "I computed the eigenvectors of a matrix in SAS and in another software package. I got different answers? How do I know which answer is correct?" I've been asked variations of this question dozens of times. The answer is usually "both answers are correct." The mathematical
It's a common mantra many parents use to encourage their children to expand their food choices and try something new. Even as adults we’re often more comfortable easing into the unfamiliar, taking small bites, tiny samples, even dipping a toe in the water before diving in headfirst. Software is no
Many years ago I shared a custom task that allows you to view and manage SAS catalogs within SAS Enterprise Guide. As a reminder, a SAS catalog is a special type of SAS file that acts as a container, like a folder, for a variety of content items called catalog
The dramatic drop in crude oil prices from the highs above $100USD per barrel down to levels around $50 per barrel is one of the drivers behind the industry’s march towards improved operating efficiency. Along the corridors of Independent Oil Companies (IOCs) and National Oil Companies (NOCs), machine learning and
In the spirit of my Forecasting Sharknadoes blog post, I now bring you Sunsquatch! In this blog post, I create a map that helps you find a location where you can see the total eclipse *and* have a chance of seeing Bigfoot (aka, Sasquatch)! But before we get into the nitty-gritty
In this post, I will review some of graphs from previous posts while concentrating on just the axes, grid lines, and reference lines. They might not be the most exciting parts of a graph, but there are multiple options that when properly used can turn a good graph into a great graph.
Provides strengthening for arms, back and core while lengthening spine Side Plank Pose (Sanskrit: Vasisthasana) From Plank, place right hand on mat under face. Shift to outside edge of your right foot. Your options for this pose are numerous. Top hand can be on waist or lifted towards sky. You can
When I first started teaching JMP classes for SAS Education 10 years ago, I sat in to observe a colleague teaching our introductory JMP data exploration course. The students had lots of questions about using JMP for their own projects, and were excited to learn about all the capabilities of
This is the fourth post in my series of 10 machine learning best practices. It’s common to build models on historical training data and then apply the model to new data to make decisions. This process is called model deployment or scoring. I often hear data scientists say, “It took