na: Gives summary information on NA values

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

Description

Given an object, prints out a summary table describing the number and percent of missing data (NAs), both overall and by column (for data.frames, matricies) or element (for lists).

Usage

na(.data, ...)

Arguments

.data	a data.frame, data.table, matrix, list, or vector
...	Specification of columns to fill, leaving blank will select all columns. Use bare variable names. Select all variables between x and z with x:z, exclude y with -y. For more options, see the dplyr::select documentation. For lists, elements are treated as columns.
.dots	Use na_() to do standard evaluation. See dplyr's NSE vignette for more information with vignette("nse", "dplyr").

Value

a table detailing the NAs in an object

Examples

Examining the NAs in a data.frame
na(mtcars)

The \code{na} function also works on vectors:
na(LETTERS)

Matricies:
na(as.matrix(mtcars))

and Lists:
na(as.list(mtcars))

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