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Modeling and Multivariate Methods - SAS

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Chapter 13 Recursively Partitioning Data 323<br />

Partition Method<br />

Stopping Rules<br />

If validation is not used, the platform is purely interactive. Keep pushing the Split button until the result is<br />

satisfactory. Without cross-validation enabled, Partition is an exploratory platform intended to help you<br />

investigate relationships interactively.<br />

When cross-validation is used, the user has the option to perform automatic splitting. This allows for<br />

repeated splitting without having to repeatedly click the Split button. See “Automatic Splitting” on page 328<br />

for details on the stopping rule.<br />

Categorical Responses<br />

When the response is categorical, the report differs in several ways (see Figure 13.7). The differences are<br />

described here, using the Car Poll.jmp data table:<br />

• The G 2 statistic is given instead of the Mean <strong>and</strong> Std Dev at the top of each leaf, <strong>and</strong> instead of SS in the<br />

C<strong>and</strong>idates report. See “Statistical Details” on page 348 for more information about G 2 .<br />

• The Rate statistic gives the proportion of observations in the leaf that are in each response level. The<br />

colored bars represent those proportions.<br />

• The Prob statistic is the predicted value (a probability) for each response level. The Y axis of the plot is<br />

divided into sections corresponding to the predicted probabilities of the response levels for each leaf.<br />

The predicted probabilities always sum to one across the response levels. R<strong>and</strong>om jitter is added to<br />

points in the X <strong>and</strong> Y direction in a leaf. See “Statistical Details” on page 348 for more information<br />

about the Prob statistic.<br />

• For the plot, the vertical position is r<strong>and</strong>om.<br />

• The Color Points button appears. This colors the points on the plot according to the response levels.

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