eda_bipow: Ladder of powers transformation on bivariate data with...

In mgimond/tukeyedar: Tukey Inspired Exploratory Data Analysis Functions

Ladder of powers transformation on bivariate data with three-point summary plot

Description

Re-expresses a vector on the ladder of powers. Requires eda_3pt() function.

Usage

eda_bipow(dat, x, y, p = c(-1, 0, 0.5, 1, 2), tukey = FALSE, ...)

Arguments

dat	Dataframe.
x	Variable assigned to the x axis.
y	Variable assigned to the y axis.
p	Vector of powers.
tukey	If set to TRUE, then adopt Tukey's power transformation. If FALSE, adopt Box-Cox transformation.
...	Other parameters passed to the graphics::plot function.

Details

Generates a matrix of scatter plots and boxplots of various re-expressions of both x and y values. The 3-point summary and associated half-slopes are also plotted (this function makes use of the eda_3pt function). The values are re-expressed using either the Tukey power transformation or the Box-Cox transformation (the default). See eda_re for more information on these transformation techniques. Axes labels are omitted to reduce plot clutter.

Value

No return value

References

• Tukey, John W. 1977. Exploratory Data Analysis. Addison-Wesley.

Examples

data(cars)
# Example 1
eda_bipow(dat = cars, x = speed, y = dist)
# Custom powers
eda_bipow(dat = cars, x = speed, y = dist, p = c(-1, -0.5, 0, 0.5, 1))
# Adopt Tukey transformation
eda_bipow(dat = cars, x = speed, y = dist, tukey = TRUE, p = c(-1, -0.5, 0, 0.5, 1))

mgimond/tukeyedar documentation built on Feb. 1, 2025, 4:02 a.m.