drop_na_cols: Drops columns that contain a percent NAs above a tolerance...

In jakesherman/missr: Explore, fill in, or create missing values (NAs).

Description

Drops columns that contain a percent NAs above a tolerance level

Usage

drop_na_cols(.data, tolerance = 0, ...)

Arguments

.data	a data.frame, matrix, or list
...	Comma separated list of unquoted expressions. You can treat variable names like they are positions. Use positive values to select variables; use negative values to drop variables. Note: this is the same behavior as dplyr::select, in fact the dplyr::select_vars function is used here to implement this functionality.
.dots	Use drop_na_cols_() to do standard evaluation.

Value

an object without columns/elements containing too many NAs

Examples

drop_na_cols(mtcars)

jakesherman/missr documentation built on May 18, 2019, 9:08 a.m.