boot.fun: Boostrap random samples of data for RF models

In khuggler/TediousEcology: Data Formatting for Various Analyses in Ecology

Description

Build random forest models on bootstrapped samples of data

Usage

boot.fun(data, idcol, prop, n.boot, mtry, cutoff, samplesize, pred.names,
  cat.column)

Arguments

idcol	name of column to loop through
prop	proportion of data (unique Ids) to be taken for training data
n.boot	number of bootstrapped samples to take
mtry	desired mtry to test in RF models
cutoff	parameter of cutoff to be used in RF models
samplesize	vector of sample sizes for data ex. c(50, 10)
pred.names	names of predictor variables to be included in the model
cat.column	column name of the category to be predicted
data.frame	of killsite data

Value

Returns a data.frame object with predictions of kill sites and available points

khuggler/TediousEcology documentation built on July 10, 2021, 12:34 a.m.