describe_na_all: Obtain a descriptive summary of missing values for all...

In bcgov/elucidate: Convenience Functions to Help Researchers Elucidate Patterns in Their Data

Obtain a descriptive summary of missing values for all variables in a data frame.

Description

This function extends {describe_na} by applying to it all columns in a data frame using functional programming tools from the purrr package (e.g. map). To obtain a summary of missing values for a single variable in a data frame use describe_na instead. This function is a more efficient way of checking for missing values than using describe_all, which calculates additional summary statistics.

Usage

describe_na_all(data, ..., digits = 4, output = c("dt", "tibble"))

Arguments

data	A data frame or tibble.
...	This special argument accepts any number of unquoted grouping variable names (also present in the data source) to use for subsetting, separated by commas, e.g. group_var1, group_var2. Also accepts a character vector of column names or index numbers, e.g. c("group_var1", "group_var2") or c(1, 2), but not a mixture of formats in the same call. If no column names are specified, all columns will be used.
digits	This determines the number of digits used for rounding of the "p_na" column in the output.
output	Output type for each class of variables. dt" for data.table or "tibble" for tibble.

Value

A tibble or data.table with the following columns in addition to any specified grouping variables:

cases

the total number of cases

n

number of complete cases

na

the number of missing values

p_na

the proportion of total cases with missing values

Author(s)

Craig P. Hutton, [e-mail]

See Also

describe, describe_na, describe_all

Examples

describe_na_all(mtcars)

bcgov/elucidate documentation built on Sept. 3, 2022, 7:16 p.m.