drop_na_at: Drop missing values at columns that match a given pattern

In Nelson-Gon/mde: Missing Data Explorer

Drop missing values at columns that match a given pattern

Description

Provides a simple yet efficient way to drop missing values("NA"s) at columns that match a given pattern.

Usage

drop_na_at(
  df,
  pattern_type = "contains",
  pattern = NULL,
  case_sensitive = FALSE,
  ...
)

Arguments

df	A data.frame object
pattern_type	One of "contains", "ends_with" or "starts_with"
pattern	The type of pattern to use when matching the pattern_type. The pattern is case sensitive
case_sensitive	Defaults to FALSE. Patterns are case insensitive if TRUE
...	Other params to other methods

Value

A data.frame object containing only columns that match the given pattern with the missing values removed.

Examples

head(drop_na_at(airquality,pattern_type = "starts_with","O"))

Nelson-Gon/mde documentation built on March 23, 2022, 10:58 p.m.