rankitXform: Rankit Transformation

In Rita: Automated Transformations, Normality Testing, and Reporting

Rankit Transformation

Description

This function transforms data via the Rankit, a member of the families of 'rank-based normalization methods' and 'empirical normal quantile transformations' employed in both the social sciences and quantitative genetics.

Usage

rankitXform(sample)

Arguments

sample

The input data (vector)

Value

The Rankit-transformed data (vector)

References

Soloman, S. R., & Sawilowsky, S. S. (2009). Impact of rank-based normalizing transformations on the accuracy of test scores. Journal of Modern Applied Statistical Methods, 8(2), 9.

Peng, B., Robert, K. Y., DeHoff, K. L., & Amos, C. I. (2007, December). Normalizing a large number of quantitative traits using empirical normal quantile transformation. In BMC proceedings (Vol. 1, No. 1, p. S156). BioMed Central. doi: 10.1186/1753-6561-1-s1-s156

Bliss, C. I., Greenwood, M. L., & White, E. S. (1956). A rankit analysis of paired comparisons for measuring the effect of sprays on flavor. Biometrics, 12(4), 381-403.

Examples

values <- rnorm(100)
x <- rankitXform(values)

Rita documentation built on March 18, 2022, 6:36 p.m.