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Visualize multivariate regression model by slicing the continuous variables. Graph created by using the EFFECTPLOT SLICEFIT statement in SAS.

Rick WicklinDecember 18, 2017 5

Visualize multivariate regression models by slicing continuous variables

Slice, slice, baby! You've got to slice, slice, baby! When you fit a regression model that has multiple explanatory variables, it is a challenge to effectively visualize the predicted values. This article describes how to visualize the regression model by slicing the explanatory variables. In SAS, you can use the

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Data Visualization | Learn SAS

Self-similar Christmas tree created in SAS

Rick WicklinDecember 11, 2017 3

A self-similar Christmas tree

Happy holidays to all my readers! My greeting-card to you is an image of a self-similar Christmas tree. The image (click to enlarge) was created in SAS by using two features that I blog about regularly: matrix computations and ODS statistical graphics. Self-similarity in Kronecker products I have previously shown

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Data Visualization | Programming Tips

Rick WicklinNovember 29, 2017 1

Visualize patterns of missing values

Missing values present challenges for the statistical analyst and data scientist. Many modeling techniques (such as regression) exclude observations that contain missing values, which can reduce the sample size and reduce the power of a statistical analysis. Before you try to deal with missing values in an analysis (for example,

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Data Visualization | Programming Tips

Rick WicklinOctober 30, 2017 1

A SAS programming technique to modify ODS templates

This article demonstrates a SAS programming technique that I call Kuhfeld's template modification technique. The technique enables you to dynamically modify an ODS template and immediately call the modified template to produce a new graph or table. By following the five steps in this article, you can implement the technique

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Analytics | Data Visualization | Learn SAS

Lines plot for multiple comparison of means in SAS

Rick WicklinOctober 16, 2017 13

Graphs for multiple comparisons of means: The lines plot

Last week Warren Kuhfeld wrote about a graph called the "lines plot" that is produced by SAS/STAT procedures in SAS 9.4M5. (Notice that the "lines plot" has an 's'; it is not a line plot!) The lines plot is produced as part of an analysis that performs multiple comparisons of

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Analytics | Data Visualization | Learn SAS

Rick WicklinOctober 4, 2017 1

Create and interpret a weighted histogram

If you perform a weighted statistical analysis, it can be useful to produce a statistical graph that also incorporates the weights. This article shows how to construct and interpret a weighted histogram in SAS. How to construct a weighted histogram Before constructing a weighted histogram, let's review the construction of

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Data Visualization | Learn SAS

Rick WicklinSeptember 18, 2017 2

The path of zip codes

Toe bone connected to the foot bone, Foot bone connected to the leg bone, Leg bone connected to the knee bone,... — American Spiritual, "Dem Bones" Last week I read an interesting article on Robert Kosara's data visualization blog. Kosara connected the geographic centers of the US zip codes in

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Analytics | Data Visualization

Bar chart of pairwise correlations between variables

Rick WicklinAugust 16, 2017 2

Use a bar chart to visualize pairwise correlations

Visualizing the correlations between variables often provides insight into the relationships between variables. I've previously written about how to use a heat map to visualize a correlation matrix in SAS/IML, and Chris Hemedinger showed how to use Base SAS to visualize correlations between variables. Recently a SAS programmer asked how

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Advanced Analytics | Data Visualization

Prediction regions for a classification problem with two outcomes. Graph created in SAS.

Rick WicklinJuly 17, 2017 0

3 ways to visualize prediction regions for classification problems

An important problem in machine learning is the "classification problem." In this supervised learning problem, you build a statistical model that predicts a set of categorical outcomes (responses) based on a set of input features (explanatory variables). You do this by training the model on data for which the outcomes

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Analytics | Data Visualization

Rick WicklinMay 24, 2017 7

Sample quantiles: A comparison of 9 definitions

According to Hyndman and Fan ("Sample Quantiles in Statistical Packages," TAS, 1996), there are nine definitions of sample quantiles that commonly appear in statistical software packages. Hyndman and Fan identify three definitions that are based on rounding and six methods that are based on linear interpolation. This blog post shows

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