remove_high_missing_col: Remove Columns with a High Proportion of Missing Values

In tomliptrot/simpute: Simple Imputation

Description

Use remove_high_missing_col to remove columns from a dataframe that have an excessive proportion of missing values.

Usage

remove_high_missing_col(x, prop = 1, n = 1000)

Arguments

x	a dataframe
prop	a number between 0 and 1, if a column has more than this proportion of missing values it is removed. (default = 1)
n	the number of rows to use to sample from when calculating the proportion of missing vaalue. useful for large datasets. (default = 1000)

Value

a dataframe with missing rows removed

tomliptrot/simpute documentation built on July 6, 2019, 4:46 p.m.