predict_RF {statTarget} | R Documentation

## preidict function for random forest objects in statTarget

### Description

Prediction of test data using random forest in statTarget.

### Usage

    predict_RF(object, newdata, type='response',...)

### Arguments

`object` | An object created by the function statTarget_rForest.
`newdata` | A data frame or matrix containing new data. (Note: If not given, the out-of-bag prediction in object is returned. see randomForest package.
`type` | One of response, prob. or votes, indicating the type of output: predicted values, matrix of class probabilities, or matrix of vote counts. class is allowed, but automatically converted to 'response', for backward compatibility.
`...` | A generic predict function from randomForest package.

### Value

A class of predicted values is returned. Object type is classification, for detail see randomForest package.

### Author(s)

Hemi Luan, hemi.luan@gmail.com

### See Also

randomForest

### Examples

    datpath <- system.file('extdata',package = 'statTarget')
    statFile <- paste(datpath,'data_example.csv', sep='/')
    getFile <- read.csv(statFile,header=TRUE)
    rFtest <- rForest(getFile,ntree = 10,times = 5)
    predictOutput <- predict_RF(rFtest, getFile[1:19,3:8])

[Package statTarget version 1.17.4 Index]