outlier_identifier: A function that identify and summarize the count and range of...

In UBC-MDS/r_outliers_utils: Clean and Perform Initial Exploratory Data Analysis specific to Outliers

Description

A function that identify and summarize the count and range of based on the method the user choose

Usage

outlier_identifier(
  dataframe,
  columns = NULL,
  identifier = "IQR",
  return_df = FALSE
)

Arguments

dataframe	The target dataframe(data.frame) where the function is performed
columns	The target vector of columns where the function needed to be performed. Default is NULL, the function will check all columns
identifier	The method of identifying outliers.
return_df	Can be set to TRUE if want output as dataframe(data.frame) identified with outliers in rows

Value

A dataframe(data.frame) with the summary of the outlier identified by the method) if return_df = FALSE, A dataframe(data.frame) with additional column having if row has outlier or not) if return_df = TRUE

Examples

library(tidyverse)

df = data.frame(SepalLengthCm = c(5.1, 4.9, 4.7, 5.5, 5.1, 50, 54, 5.0, 5.2, 5.3, 5.1),
                          SepalWidthCm = c(1.4, 1.4, 20, 2.0, 0.7, 1.6, 1.2, 1.4, 1.8, 1.5, 2.1),
                          PetalWidthCm = c(0.2, 0.2, 0.2, 0.3, 0.4, 0.5, 0.5, 0.6, 0.4, 0.2, 5))


outlier_identifier(df)

UBC-MDS/r_outliers_utils documentation built on Feb. 7, 2022, 9:12 a.m.