ranfor: Random Forest

In inecolr: Modeling and Plotting for Ecologist

Random Forest

Description

Create the most pasimonious groupping hipothesis based on N classification trees (the forest)

Usage

ranfor(data, repetitions=1000, prop=0.85, n.digits = 5, plot=TRUE)

Arguments

data	A dataframe where the first column is the response (dependent) variable and the rest serve to classify
repetitions	Number of iterations
prop	Proportion of rows included in each iteration
n.digits	N digits to display in the summary table
plot	Logical, wheather to plat the result, defualt is TRUE

Value

Retur a matrix ... .

Author(s)

Guevara, R., [e-mail]

References

Rohlf, F. (1981). Biometry the principles and practice of statistics in biological research. Zar, J. H. (1999). Biostatistical analysis. Pearson Education India.

Examples

 data("iris")
 ranfor(iris[,c(5,1:4)])

inecolr documentation built on June 8, 2025, 11:26 a.m.