The DO Loop

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Get the right information, with visual impact, to the people who need it

Rick WicklinApril 26, 2023 1

When the SAS statistical graphics (SG) procedures were designed in the early 2000s, a goal was to create a comprehensive Graph Template Language (GTL) and leverage the GTL by using SG procedures that perform common tasks easily without having to write any GTL. This project was hugely successful, and "ODS

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Data Visualization | Learn SAS | Programming Tips

Rick WicklinFebruary 8, 2023 5

A random walk inside a heart

SAS programmers love to make special graphs for Valentine's Day. In fact, there is a long history of heart-shaped graphs and love-inspired programs written in SAS! Last year, I added to the collection by showing how a ball bounces on a heart-shaped billiards table. This year, I create a similar

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Data Visualization | Learn SAS | Programming Tips

Rick WicklinFebruary 1, 2023 0

Colorblind-safe palettes in SAS

SAS supports the ColorBrewer system of color palettes from the ColorBrewer website (Brewer and Harrower, 2002). The ColorBrewer color ramps are available in SAS by using the PALETTE function in SAS IML software. The PALETTE function supports all ColorBrewer palettes, but some palettes are not interpretable by people with color

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Data Visualization | Learn SAS | Programming Tips

Rick WicklinJanuary 30, 2023 1

Tips for making colorblind-safe statistical graphs

Did you know that about 8% of the world's men are colorblind? (More correctly, 8% of men are "color vision deficient," since they see colors, but not all colors.) Because of the "birthday paradox," in a room that contains eight men, the probability is 50% that at least one is

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Analytics | Data Visualization | Learn SAS

Rick WicklinJanuary 18, 2023 0

Visualize how parameters in a binary logistic regression model affect the probability of the event

A previous article shows that you can use the Intercept parameter to control the ratio of events to nonevents in a simulation of data from a logistic regression model. If you decrease the intercept parameter, the probability of the event decreases; if you increase the intercept parameter, the probability of

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Data Visualization | Learn SAS | Programming Tips

Rick WicklinDecember 7, 2022 0

Art in SAS: Christmas wrapping paper

For Christmas 2021, I wrote an article about palettes of Christmas colors, chiefly shades of red, green, silver, and gold. One of my readers joked that she would like to use my custom palette to design her own Christmas wrapping paper! I remembered her jest when I saw some artwork

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Analytics | Data Visualization | Programming Tips

Rick WicklinNovember 16, 2022 3

Optimal linear profile plots in SAS

A profile plot is a way to display multivariate values for many subjects. The optimal linear profile plot was introduced by John Hartigan in his book Clustering Algorithms (1975). In Michael Friendly's book (SAS System for Statistical Graphics, 1991), Friendly shows how to construct an optimal linear profile by using

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Data Visualization | Learn SAS | Programming Tips

Rick WicklinNovember 14, 2022 1

Profile plots in SAS

A profile plot is a compact way to visualize many variables for a set of subjects. It enables you to investigate which subjects are similar to or different from other subjects. Visually, a profile plot can take many forms. This article shows several profile plots: a line plot of the

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Analytics | Data Visualization | Learn SAS | Programming Tips

Rick WicklinNovember 7, 2022 0

The area of the convex hull of random points

I recently blogged about how to compute the area of the convex hull of a set of planar points. This article discusses the expected value of the area of the convex hull for n random uniform points in the unit square. The article introduces an exact formula (due to Buchta,

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Analytics | Data Visualization | Learn SAS

Rick WicklinOctober 26, 2022 2

Visualize dependencies of missing values

A SAS programmer asked how to create a graph that shows whether missing values in one variable are associated with certain values of another variable. For example, a patient who is supposed to monitor his blood glucose daily might have more missing measurements near holidays and in the summer months

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