rfLoocv: Leave-one-out-cross-validation with a random forest...

In kennylouie/kdevtools:

Description

a cross validation method to check the accuracy of a svm classifier on a matrix of features and samples

Usage

rfLoocv(dat, group, ...)

Arguments

dat	matrix of features in columns and samples in rows
group	vector of classifications for each sample in the same order as the rows in the matrix
...	all other arguments/parameters for the randomForest function from the randomForest package

Examples

rfLoocv()

kennylouie/kdevtools documentation built on May 28, 2019, 3:37 p.m.