run_rf: Run a Random Forest model

In aedobbyn/dobtools: dobtools

Description

Prepare and run a random forest model.

Usage

run_rf(data, predictor_vars, outcome_var, n_trees = 500, prob = FALSE)

Arguments

data	A dataframe
predictor_vars	A vector of predictors
outcome_var	A single outcome variable. Factor or numeric.
n_trees	Number of trees to be grown in ranger::num.trees
prob	Probability or response outcome? If TRUE, outcome variable must be a factor.

Examples

preds <- c("disp", "hp", "qsec")
response <- "carb"
mt_rf <- run_rf(mtcars, preds, response, prob = FALSE)

aedobbyn/dobtools documentation built on May 28, 2019, 2:33 a.m.