predict_RF: preidict function for random forest objects in statTarget

In statTarget: Statistical Analysis of Molecular Profiles

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, [e-mail]

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])

statTarget documentation built on Nov. 8, 2020, 8:27 p.m.