Transformation - Arcsine

Gist

One way to transform proportional data... But seems that the consensus is not to use arcsine.

Usage

In this paper, we argue that the arcsine transform should no longer be used in either situation. Where data are binomial, logistic regression should be used instead, with random effects if overdispersion is found. Where data are non-binomial, there is no motivation to use the arcsine transform at all, and instead efforts should be placed into searching for a transform that satisfies linearity assumptions, while if possible, being useful for interpretation.

References

  1. Warton, D. I., & Hui, F. K. (2011). The arcsine is asinine: the analysis of proportions in ecology. Ecology, 92(1), 3-10.