arcsineXform: Arcsine Transformation

In Rita: Automated Transformations, Normality Testing, and Reporting

Arcsine Transformation

Description

This function transforms the scale, if needed, to values of unity. Then, the data is transformed by taking the arcsine of each value. Per the recommendations of Osborne(2002), data points are left-anchored at 0 to maximize the efficacy of the square-root transformation used enroute to the arcsine.

Usage

arcsineXform(sample)

Arguments

sample

The input data (vector)

Value

The arcsine-transformed data (vector)

References

Osborne, J. W. (2002). Notes on the use of data transformations. Practical Assessment, Research and Evaluation, 9(1), 42-50.

Osborne, J. W. (2002). The Effects of Minimum Values on Data Transformations. Retrieved from https://files.eric.ed.gov/fulltext/ED463313.pdf

Examples

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

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