Transformation
Gist
Important for stabilizing the Variance.
Arcsine
One way to transform proportional data... But seems that the consensus is not to use the arcsine transformation.
Definition:
Don't use
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.
- Warton and Hui (2011)
Box-Cox
Used for Time Series Analysis