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

Source: R/eda_bipow.R
eda_bipow.Rd

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.

Value

No return value

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.

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))