symbox: Boxplots for transformations to symmetry
In jonathon-love/car: Companion to Applied Regression

Description Usage Arguments Value Author(s) References See Also Examples

symbox first transforms x to each of a series of selected powers, with each transformation standardized to mean 0 and standard deviation 1. The results are then displayed side-by-side in boxplots, permiting a visual assessment of which power makes the distribution reasonably symmetric.

symbox(x, ...)
## S3 method for class 'formula'
symbox(formula, data=NULL, subset, na.action=NULL, ylab,  ...)
## Default S3 method:
symbox(x, powers = c(-1, -0.5, 0, 0.5, 1), start=0, 
	trans=bcPower, xlab="Powers", ylab, ...)

`x`	a numeric vector.
`formula`	a one-sided formula specifying a single numeric variable.
`data, subset, na.action`	as for statistical modeling functions (see, e.g., `lm`).
`xlab, ylab`	axis labels; if `ylab` is missing, a label will be supplied.
`powers`	a vector of selected powers to which `x` is to be raised. For meaningful comparison of powers, `1` should be included in the vector of powers.
`start`	a constant to be added to `x`.
`trans`	a transformation function whose first argument is a numeric vector and whose second argument is a transformation parameter, given by the `powers` argument; the default is `bcPower`, and another possibility is `yjPower`.
`...`	arguments to be passed down.