applyvarianceFilter: Removes features that have near zero variance

In pmartR/peppuR:

Description

This function removes features that are above a percentage threshold of features with near zero variance

Usage

applyvarianceFilter(data_object, threshold = 0.1)

Arguments

data_object	argument is the output produced by as.ML function, which contains a single x data frame or a list of x data frames, a y data frames and attributes
threshold	is the cutoff value for percentage of partitions containing features with near zero variance

Examples

dontrun{
}

pmartR/peppuR documentation built on Jan. 17, 2020, 12:54 p.m.