Transformation Axes: Axes for Transformed Variables

Description

These functions produce axes for the original scale of transformed variables. Typically these would appear as additional axes to the right or at the top of the plot, but if the plot is produced with axes=FALSE, then these functions could be used for axes below or to the left of the plot as well.

Usage

power.axis(power, base=exp(1), side=c("right", "above", "left", "below"), 
  at, grid=FALSE, grid.col=gray(0.5), grid.lty=3, 
  axis.title="Untransformed Data", cex=1, las=par("las"))

box.cox.axis(power, side=c("right", "above", "left", "below"), 
  at, grid=FALSE, grid.col=gray(0.5), grid.lty=3, 
  axis.title="Untransformed Data", cex=1, las=par("las"))

prob.axis(at, side=c("right", "above", "left", "below"), grid=FALSE, grid.lty=3, 
  grid.col=gray(0.5), axis.title="Probability", interval=0.1, cex=1, las=par("las"))

Arguments

power

power for Box-Cox or power transformation.

side

side at which the axis is to be drawn; numeric codes are also permitted: side = 1 for the bottom of the plot, side=2 for the left side, side = 3 for the top, side = 4 for the right side.

numeric vector giving location of tick marks on original scale; if missing, the function will try to pick nice locations for the ticks.

grid

if TRUE grid lines for the axis will be drawn.

grid.col

color of grid lines.

grid.lty

line type for grid lines.

axis.title

title for axis.

cex

relative character expansion for axis label.

las

if 0, ticks labels are drawn parallel to the axis; set to 1 for horizontal labels (see par).

base

base of log transformation for power.axis when power = 0.

interval

desired interval between tick marks on the probability scale.

Value

These functions are used for their side effects: to draw axes.

Details

The transformations corresponding to the three functions are as follows: [object Object],[object Object],[object Object] These functions will try to place tick marks at reasonable locations, but producing a good-looking graph sometimes requires some fiddling with the at argument.

Examples

Run this code

data(UN)
UN<-na.omit(UN)
attach(UN)
par(mar=c(5, 4, 4, 4)+.1)

plot(log(gdp, 10), log(infant.mortality, 10))
power.axis(0, base=10, side="above", 
  at=c(50,200,500,2000,5000,20000),grid=TRUE, axis.title="GDP per capita")
power.axis(0, base=10, side="right",
  at=c(5,10,20,50,100), grid=TRUE, axis.title="infant mortality rate per 1000")

plot(box.cox(gdp, 0), box.cox(infant.mortality, 0))
box.cox.axis(0, side="above", 
  grid=TRUE, axis.title="GDP per capita")
box.cox.axis(0, side="right",
  grid=TRUE, axis.title="infant mortality rate per 1000")

qq.plot(logit(infant.mortality/1000))
prob.axis()

qq.plot(logit(infant.mortality/1000))
prob.axis(c(.005, .01, .02, .04, .08, .16))