get0outliers: Function to compute outliers and their count using Tukey's...

In generalCorr: Generalized Correlations, Causal Paths and Portfolio Selection

Function to compute outliers and their count using Tukey's method using 1.5 times interquartile range (IQR) to define boundaries.

Description

Function to compute outliers and their count using Tukey's method using 1.5 times interquartile range (IQR) to define boundaries.

Usage

get0outliers(x, verbo = TRUE, mult = 1.5)

Arguments

x	vector of data.
verbo	set to TRUE(default) assuming printed details are desired.
mult	=1.5(default), the number of times IQR is used in defining outlier boundaries.

Value

below	which items are lower than the lower limit
above	which items are larger than the upper limit
low.lim	the lower boundary for outlier detection
up.lim	the upper boundary for outlier detection
nUP	count of number of data points above upper boundary
nLO	count of number of data points below lower boundary

Note

The function removes the missing data before checking for outliers.

Author(s)

Prof. H. D. Vinod, Economics Dept., Fordham University, NY

Examples

set.seed(101);x=sample(1:100)[1:15];x[16]=150;x[17]=NA
get0outliers(x)#correctly identifies outlier=150

generalCorr documentation built on Oct. 10, 2023, 1:06 a.m.