What statistic should you use to display error bars for a mean?

October 9, 2019
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What statistic should you use to display error bars for a mean?

In a previous article, I mentioned that the VLINE statement in PROC SGPLOT is an easy way to graph the mean response at a set of discrete time points. I mentioned that you can choose three options for the length of the "error bars": the standard deviation of the data,

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Graph the mean response versus time in SAS

October 7, 2019
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Graph the mean response versus time in SAS

It is always great to read an old paper or blog post and think, "This task is so much easier in SAS 9.4!" I had that thought recently when I stumbled on a 2007 paper by Wei Cheng titled "Graphical Representation of Mean Measurement over Time." A substantial portion of

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Compute the geometric mean, geometric standard deviation, and geometric CV in SAS

October 2, 2019
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Compute the geometric mean, geometric standard deviation, and geometric CV in SAS

I frequently see questions on SAS discussion forums about how to compute the geometric mean and related quantities in SAS. Unfortunately, the answers to these questions are sometimes confusing or even wrong. In addition, some published papers and web sites that claim to show how to calculate the geometric mean

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Happy Customer Experience Day!

October 1, 2019
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Happy Customer Experience Day!

On behalf of the entire global Customer Contact Center, “Happy CX Day!” to all our SAS users! Customer Experience Day (aka #CXDay2019) is one of our favorite days of the year—when we can reflect on customer interactions, questions and feedback from the past year—and look to the year ahead for

Happy Customer...
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What is a geometric mean?

September 30, 2019
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What is a geometric mean?

There are several different kinds of means. They all try to find an average value from among a set of numbers. Although the most popular mean is the arithmetic mean, the geometric mean can be useful for problems in statistics, finance, and biology. A common application of the geometric mean

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Machine learning with SASPy: Exploring and preparing your data (part 2)

September 27, 2019
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Machine learning with SASPy: Exploring and preparing your data (part 2)

This article continues a series that began with Machine learning with SASPy: Exploring and preparing your data (part 1). Part 1 showed you how to explore data using SASPy with Python. Here, in part 2, you will learn how to begin to prepare your data to use it within a

Machine learning...
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Data and Analytics Innovation using SAS & Spark – part 2

September 26, 2019
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Data and Analytics Innovation using SAS & Spark – part 2

In part 1 of this post, we looked at setting up Spark jobs from Cloud Analytics Services (CAS) to load and save data to and from Hadoop. Now we are moving on to the next step in the analytic cycle, scoring data in Hadoop and executing SAS code as a

Data and...
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A data fairy tale: Which speakers are the best received at conferences?

September 25, 2019
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A data fairy tale: Which speakers are the best received at conferences?

Importing about 4,400 messages worth of data into SAS Visual Text Analytics to exploring it and create an information extraction model.

A data fairy tale: Which speakers are the best received at conferences? was published on SAS Users.


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Solve many optimization problems

September 25, 2019
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Solve many optimization problems

One of the strengths of the SAS/IML language is its flexibility. Recently, a SAS programmer asked how to generalize a program in a previous article. The original program solved one optimization problem. The reader said that she wants to solve this type of problem 300 times, each time using a

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