treeClassPredict
Compute Predictions for a Classification Tree Model from Spotfire

### Description

Computes predictions for a tree classification model from Spotfire using the data in newdata. This function is not intended to be called by the user.

### Usage

    treeClassPredict(modelObj, newdata, origPredNames, newPredNames)

### Arguments

modelObj | an object of class "arbor".
newdata | a data frame to use for the predictions. It must contain columns with names newPredNames.
origPredNames | a single character string containing the predictor variables used in modelObj. The values must be tab delimited.
newPredNames | a single character string naming the predictor variable in newdata. This is often the same as origPredNames. The values must be tab delimited.

### Details

This function gets invoked when predictions for a classification tree model are requested in Spotfire.
Value
a data frame containing the prediction probabilities and predicted class.
See Also
treeClassFit, treeClassEvaluate, arbor
Examples

    library(Sdatasets)  # for the kyphosis data
    ztree <- treeClassFit(Kyphosis ~ Age + Number + Start, data=kyphosis,
        modelName="arborExample")
    predNamesString <- ztree$fitSummaryTable[2, 1]
    predNames <- strsplit(predNamesString, "\t", fixed=TRUE)[[1]]
    kyph <- kyphosis[1:20, predNames]
    ztPred <- treeClassPredict(ztree$modelObj, newdata=kyph,
        predNamesString, predNamesString)

Package SpotfireStats version 6.1.5-18
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