Johnson (version 1.0)

Johnson-package: Johnson transformation

Description

Johnson transform to normality using the Z family of distributions. Performs the Johnson Transformation based on the method of the percentiles. Include the Anderson-Darling Test

Details

ll{ Package: Johnson Type: Package Version: 1.0 Date: 2011-04-25 License: What license is it under? LazyLoad: yes }

References

Chou, Youn Min; Polansky, A. M. M. R. L. (1998), "Transforming non normal data to normality in statistical process control", Journal of Quality Technology 30, 2, April. Johnson, N. L. (1949), "Systems of Frequency Curves Generated by Methods of Translation". URL: http://www.jstor.org/stable/2332539 Slifker, J. F. & Shapiro, S. S. (1980), "The johnson system: selection and parameter estimation", Technometrics 22(2). Trujillo Ortiz, A., R. H. W. K. B.R. & Castro Perez., A.(2007), "Andartest:anderson darling test for assessing normality of a sample data.". URL: http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=14807

Examples

# transforming to normality a random sample with beta distribution
x<-rbeta(30,2,3)
y<-RE.Johnson(x);print(y)

# working with the transformed variable
x<-runif(100)
y<-RE.Johnson(x)$transformed;print(y)

# working with the p-values
x<-rgamma(100,2,1)
y<-RE.Johnson(x)$p;print(y)