binomialRF (version 0.1.0)

calculateBinomialP: calculate the probability, p, to conduct a binomial exact test

Description

calculateBinomialP returns a probability of randomly selecting a feature as the root node in a decision tree. This is a generic function that is called internally in binomialRF but that may also be called directly if needed. The arguments ... should be, L= Total number of features in X, and percent_features= what percent of L is subsampled in the randomForest call.

Usage

calculateBinomialP(L, percent_features)

Arguments

L

the total number of features in X. Should be a positive integer >1

percent_features

what percentage of L do we subsample at each tree? Should be a proportion between (0,1)

Value

If L is an integeter returns a probability value for selecting predictor Xj randomly

Examples

# NOT RUN {
calculateBinomialP(110, .4)
calculateBinomialP(13200, .5)
# }