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Rick WicklinAugust 8, 2018 0

Plot curves for levels of two categorical variables in SAS

The SGPLOT procedure in SAS makes it easy to create graphs that overlay various groups in the data. Many statements support the GROUP= option, which specifies that the graph should overlay group information. For example, you can create side-by-side bar charts and box plots, and you can overlay multiple scatter

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Analytics | Programming Tips

Rick WicklinAugust 6, 2018 0

How to score and graph a quantile regression model in SAS

This article shows how to score (evaluate) a quantile regression model on new data. SAS supports several procedures for quantile regression, including the QUANTREG, QUANTSELECT, and HPQUANTSELECT procedures. The first two procedures do not support any of the modern methods for scoring regression models, so you must use the "missing

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Analytics | Learn SAS | Programming Tips

Rick WicklinJuly 30, 2018 1

Meaningful names for columns of a design matrix

A programmer recently asked a question on a SAS discussion forum about design matrices for categorical variables. He had generated a design matrix by using PROC GLMMOD and wanted to use the design columns in a subsequent procedure. However, the columns were named COL1, COL2, COL3,..., so he couldn't tell

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Programming Tips

Rick WicklinJuly 25, 2018 0

Color cells in a mosaic plot by deviation from independence

Back in SAS 9.3M2 (SAS/STAT 12.1), PROC FREQ introduced mosaic plots to visualize the joint frequencies in a contingency table. By default, the cells in a mosaic plot are colored according to levels of one of the categorical variables in the analysis. However, in 2013 I showed how you can

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Analytics | Learn SAS | Programming Tips

Rick WicklinJuly 23, 2018 6

How to use the %BOOT and %BOOTCI macros in SAS

Since the late 1990s, SAS has supplied macros for basic bootstrap and jackknife analyses. This article provides an example that shows how to use the %BOOT and %BOOTCI macros. The %BOOT macro generates a bootstrap distribution and computes basic statistics about the bootstrap distribution, including estimates of bias, standard error,

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Programming Tips

Rick WicklinJuly 18, 2018 0

Balanced bootstrap resampling in SAS

This article shows how to implement balanced bootstrap sampling in SAS. The basic bootstrap samples with replacement from the original data (N observations) to obtain B new samples. This is called "uniform" resampling because each observation has a uniform probability of 1/N of being selected at each step of the

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Data Visualization | Programming Tips

Rick WicklinJuly 16, 2018 1

Offset regions: Find all points within a specified distance from a polygon

My colleague Robert Allison recently blogged about using the diameter of Texas as a unit of measurement. The largest distance across Texas is about 801 miles, so Robert wanted to find the set of all points such that the distance from the point to Texas is less than or equal

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Programming Tips

Rick WicklinJuly 11, 2018 2

The probability that two random chords of a circle intersect

In a previous article, I showed how to find the intersection (if it exists) between two line segments in the plane. There are some fun problems in probability theory that involve intersections of line segments. One is "What is the probability that two randomly chosen chords of a circle intersect?"

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Analytics | Programming Tips

Rick WicklinJuly 9, 2018 3

The intersection of two line segments

Back in high school, you probably learned to find the intersection of two lines in the plane. The intersection requires solving a system of two linear equations. There are three cases: (1) the lines intersect in a unique point, (2) the lines are parallel and do not intersect, or (3)

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Analytics | Programming Tips

Rick WicklinJuly 5, 2018 7

Compute derivatives for nonparametric regression models

SAS enables you to evaluate a regression model at any location within the range of the data. However, sometimes you might be interested in how the predicted response is increasing or decreasing at specified locations. You can use finite differences to compute the slope (first derivative) of a regression model.

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