arcsintran: Arcsine transformation

In sfraundorf/psycholing: R Functions for Common Psycholingusitic and Cognitive Designs

Arcsine transformation

Description

Applies the arcsine transformation to x.

Usage

arcsintran(x)

Arguments

x	value(s) to which the arcsine transformation should be applied.

Details

Historically, the arcsine transformation has been used on proportions to make them more normally distributed, and thus suitable for use with statistical models that assume normality.

However, you may be better off with other transformations that better approximate normality (e.g., the logit) or with logistic regression, which directly reflects the binomial distribution of the DV

This function is included primarily for demonstration or for comparison of analytic methods and not as a recommended analytic procedure.

Value

numeric vector with the arcsine transformed proportions.

References

Jaeger, T. F. (2008). Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models. Journal of Memory and Language, 59, 434-446.

See Also

arcsinbacktran to transform back into proportions.

Examples

mydata = data.frame(Accuracy.Proportion = c(0.5,0.75,0.99,0, 0.2))
mydata$Accuracy.Arcsin <- arcsintran(mydata$Accuracy.Proportion)

sfraundorf/psycholing documentation built on April 23, 2022, 2:50 a.m.