# symbox

0th

Percentile

##### Boxplots for transformations to symmetry

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.

Keywords
hplot
##### Usage
symbox(x, ...)
# S3 method for formula
symbox(formula, data=NULL, subset, na.action=NULL, ylab,  ...)
# S3 method for default
symbox(x, powers = c(-1, -0.5, 0, 0.5, 1), start=0,
trans=bcPower, xlab="Powers", ylab, ...)
##### Arguments
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.

##### Value

as returned by boxplot.

##### References

Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition. Sage.

boxplot, boxcox, bcPower, yjPower

##### Aliases
• symbox
• symbox.formula
• symbox.default
##### Examples
# NOT RUN {
symbox(~ income, data=Prestige)
# }

Documentation reproduced from package car, version 2.1-6, License: GPL (>= 2)

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