rbi_normal_transform {modgo} | R Documentation |
Rank based inverse normal transformation
Description
Applies the rank based inverse normal transformation to numeric vector.
Usage
rbi_normal_transform(x, ties_method = c("max", "min", "average"))
Arguments
x |
a numeric vector |
ties_method |
Method on how to deal with equal values
during rank transformation.Acceptable input:"max","average","min". This
parameter is passed to the parameter |
Details
The rank based inverse normal transformation (Beasley et al. (2009)), transforms values of a vector to ranks and then applies the quantile function of the standard normal distribution.
Value
A numeric vector with rank transformed values.
Author(s)
Andreas Ziegler, Francisco M. Ojeda, George Koliopanos
References
Beasley, T.M. and Erickson S. and Allison D.B. (2009), “Rank-based inverse normal transformations are increasingly used, but are they merited?,” Behavior genetics 39, 580-595.
Examples
data("Cleveland",package="modgo")
test_rank <- rbi_normal_transform(Cleveland[,1])
[Package modgo version 1.0.1 Index]