outly: Outlier generation function

In doex: The One-Way Heteroscedastic ANOVA Tests

Description

This function generates the outlier(s) by Interquantile range approach.

Usage

outly(ndata,noutlier,meand,vard,dif,alpha,normality.status,skewn.status)

Arguments

ndata	sample size of the data without outlier(s).
noutlier	number of outlier(s) in data.
meand	mean of the data.
vard	variance of the data.
dif	distance level of outlier(s) from the whiskers.
alpha	significance level for the normality test.
normality.status	a logical operator controls the normality of data with outlier. "TRUE" for normal and "FALSE" for non-normal
skewn.status	a logical operator controls the skewness of the data with outlier. "0" for symmetric, "1" for right-skewed and "-1" for left-skewed.

Value

data	the vector contains the generated data with outlier(s)
outlier	the vector contains the generated outlier(s)
normality.test	the result of the Shapiro-Wilk normality test for the generated data

Author(s)

Mustafa CAVUS

References

Alexander, R.A., Govern, D.M. (1994) A new and simplier approximation for ANOVA under variance heterogeneity, Journal of Educational Statistics, 19(2), 91-101.

Examples

library(doex)
outly(8,2,2,0.05,FALSE)

doex documentation built on Oct. 30, 2019, 10:32 a.m.