Rlab (version 1.1)

bplot.xy: Boxplots for conditional distribution

Description

Draws boxplots for y by binning on x. This gives a coarse, but quick, representation of the conditional distrubtion of [Y|X] in terms of boxplots.

Usage

bplot.xy(x, y, N = 10, breaks = pretty(x, N, eps.correct = 1),
   style = "tukey", outlier = TRUE, plot = TRUE, xaxt = "s", ...)

Arguments

x

Vector to use for bin membership

y

Vector to use for constructing boxplot statistics.

N

Number of bins on x. Default is 10.

breaks

Break points defining bin boundaries. These can be unequally spaced.

style

Type of boxplot default is "tukey". The other choice is "quantile" where the whiskers are drawn to the 5 and 95 percentiles instead being based on the inner fences.

xaxt

Plotting parameter for x-axis generation. Default is to produce an x-axis.

outlier

If true outliers (points beyond outer fences) will be added to the plots.

plot

If false just returns a list with the statistics used for plotting the box plots.

...

Any other optional arguments passed to the bplot.obj function see the help file for bplot for details.

See Also

bplot, boxplot

Examples

# bivariate normal corr= .6
set.seed( 123)
x<-rnorm( 1000)
y<- .6*x +  sqrt( 1- .6**2)*rnorm( 1000)
#
#
bplot.xy( x,y, breaks=seq( -3, 3,,15) ,xlim =c(-4,4), ylim =c(-4,4))
points( x,y, pch=".", col=3)