rm_miss: remove row or columns with percentage of missing values

In IbrahimHE/wrangler: Data Wrangling (by Ibrahim Hassan)

remove row or columns with percentage of missing values

Description

This function test for missing values in a dataframe rows and columns, then removes rows or columns with percentage of missing values

Usage

rm_miss(data, dim, percent_miss)

Arguments

data	specify dataframe
dim	1 for rows, or 2 for columns
percent_miss	numeric. cut of number for row or column which is equal or above to be removed

Value

returns a dataframe containing remaining row or columns

IbrahimHE/wrangler documentation built on March 27, 2022, 4:23 p.m.