rf: rf models

In alex-conanec/OptFilBov: Compromise dealing

Description

rf is a method used to fit random forest models using the randomForest package.

Usage

rf(Y, X, ntree = 500, mtry, Ylabel = NULL)

Arguments

Y	numerical vector of size n containing the response to predict.
X	numerical matrix of dimension n by p regressors
Ylabel	a character value containing the name of the Y varaible

See Also

predict.rf

Examples

library(mfe)
data(indicateurs)
X <- indicateurs[, -c(1,2,3)]
Y <- indicateurs[,1]
model <- rf(X = X, Y = Y, Ylabel = colnames(indicateurs)[1])
predict(model, newdata = indicateurs[1,])

alex-conanec/OptFilBov documentation built on May 21, 2019, 9:46 a.m.