[S] discrim answer

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#262

From: Stafford Phillip-APS095
Date: Fri, 03 Aug 2001 21:08

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To S+ group who use discrim();

The way discrim and predict.discrim were predicting less than the total number of observations in the test set, the answer was really simple:  na.exclude was removing NA's from the training set but the algorithm was not aligning the predicted values properly when I inserted the predict.discrim results back into the original dataset.  It's a matter of using the row values to place the new predictions next to the original values.  The best answer is to use is.finite() when selecting the training set.

Phillip Stafford
Motorola Life Sciences
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From: phillip.stafford@motorola.com (Stafford Phillip-APS095)
Subject: [S] discrim answer
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