yhat_RF: Fit Random Forest Regression Predictor

Description Usage Arguments Value Author(s) Examples

View source: R/yhat_RF.R

Description

Random Forest prediction on test data

Usage

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yhat_RF(dfTrain, dfTest)

Arguments

dfTrain

Data frame for training data. Last column must be the output variable.

dfTest

Data frame for test data. Last column must be the output variable.

Value

The predictions for the test sample

Author(s)

A. I. McLeod

Examples

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Xy <- prostate
X <- prostate[,-9]
y <- prostate[,9]
n <- length(y)
d <- 10
set.seed(777513)
iTe <- sample(n, size=d)
iTr <- (1:n)[!match(1:n, iTe, nomatch = 0) > 0]
trdf <- data.frame(X[iTr,], y=y[iTr]) #X, y already defined
tedf <- data.frame(X[iTe,], y=y[iTe])
yhat_plus(trdf, tedf)

gencve documentation built on May 29, 2017, 7:12 p.m.