cleanData: cleanData(train,test)

In jstarling1/starlib: All of my useful functions.

Description

This function cleans a test and a training data set, to eliminate features which cannot be used for classification due to problematic or unclean data. Eliminates columns (features) where stdev=NA or 0. Eliminates rows with infinite values.

Usage

cleanData(train, test)

Arguments

train	A data set whose class values are known. Defaults to NULL.
test	A data set whose class values are unknown. Defaults to NULL.

Value

A list containing the following components:

cleanData[[1]] = Cleaned training data set.

cleanData[[2]] = Cleaned test training set.

Author(s)

Jennifer Starling

Examples

clean_data <- cleanData(train=dataset1, test=dataset2)

jstarling1/starlib documentation built on May 20, 2019, 2:12 a.m.