| rankitXform {Rita} | R Documentation |
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)