Calculate Rationalized arcsine transform

Converts proportions into rational arcsine units (rau's) for performing linear tests like ANOVA


Updated Thu, 01 Sep 2016 15:07:08 +0000

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Doing linear tests (like ANOVA or t-tests) on proportional data (values between 0 and 1) is difficult since the distributions of these values are not strictly Gaussian, especially when the proportions are near 0 or 1. The Rationalized Arcsine Transform linearizes the proportions and converts them to "rational arcsine units". The linear tests can then be performed on the RAU values. (p=0.5 roughly corresponds to a rau of 50).
RAU(p) computes the rationalized arcsine transform for a proportion value p (0 <= p <= 1). p can also be a vector of proportion values.

Cite As

Gautam Vallabha (2023). Calculate Rationalized arcsine transform (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R13
Compatible with any release
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Updated license