dlookr (version 0.3.9)

find_outliers: 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 {
# Generate data for the example
carseats <- ISLR::Carseats
carseats[sample(seq(NROW(carseats)), 20), "Income"] <- NA
carseats[sample(seq(NROW(carseats)), 5), "Urban"] <- NA

find_outliers(carseats)

find_outliers(carseats, index = FALSE)

find_outliers(carseats, rate = TRUE)

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

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