filter_missing_values {HPiP}R Documentation

Drop the Missing Values Above a Certain Threshold

Description

Given an input matrix, compute the missingness rate for each features and keep only features with missing rate more than user-defined percentage.

Usage

filter_missing_values(x, max_miss_rate = 20)

Arguments

x

A numeric matrix as input.

max_miss_rate

Maximal missing rate allowed for a feature;default is 20.

Details

filter_missing_values

Value

A dataframe with features with missingness rate of more than user-defined threshold.

Author(s)

Matineh Rahmatbakhsh, matinerb.94@gmail.com

Examples

x <- matrix(1:10, ncol = 2)
x[, 2] <- NA
filter_missing_values(x, 30)

[Package HPiP version 1.0.0 Index]