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

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,
  base = exp(1),
  ...
)

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.
base: Base used with the log() function if p = 0.
...: 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))