find_outliers: Finding variables including outliers

In dlookr: Tools for Data Diagnosis, Exploration, Transformation

Finding variables including outliers

Description

Find the numerical variable that contains outliers in the object that inherits the data.frame or data.frame.

Usage

find_outliers(.data, index = TRUE, rate = FALSE)

Arguments

.data	a data.frame or a tbl_df.
index	logical. When representing the information of a variable including outliers, specify whether or not the variable is represented by an index. Returns an index if TRUE or a variable names if FALSE.
rate	logical. If TRUE, returns the percentage of outliers in the individual variable.

Value

Information on variables including outliers.

See Also

find_na, imputate_outlier.

Examples

## Not run: 
find_outliers(heartfailure)

find_outliers(heartfailure, index = FALSE)

find_outliers(heartfailure, rate = TRUE)

## using dplyr -------------------------------------
library(dplyr)

# Perform simple data quality diagnosis of variables with outliers.
heartfailure %>%
  select(find_outliers(.)) %>%
  diagnose()

## End(Not run)

dlookr documentation built on July 9, 2023, 6:31 p.m.