detect_outliers: Test for outliers

In ropensci/testdat: A suite for running automated tests for data

Description

This function identifies numeric columns in a data.frame, then identifies outliers and returns the indexes of these possible outliers for each numeric column.

Usage

detect_outliers(dat, threshold = 1.96, plot = FALSE, ...)

Arguments

dat	input dataset. Currently only supports data.frame but will soon support data.table
threshold	for outlier detection method (defaults to z-score)
plot	logical. Set TRUE to plot
...	Further args (to be passed to scores() function)

Examples

## Not run: 
data(iris)
detect_outliers(iris)

## End(Not run)

ropensci/testdat documentation built on May 27, 2019, 7:32 p.m.