R: Boxplots for conditional distribution

bplot.xy {fields} | R Documentation

## 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), plot=TRUE,
             ...)

### 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.
`plot` | If FALSE just returns a list with the statistics used for plotting the box plots, bin centers, etc. – More stuff than you can imagine!
`...` | Any other optional arguments passed to the standard `boxplot` function.

### See Also

bplot, draw.bplot

### Examples

    # condition on swim times to see how run times vary
    bplot.xy( minitri$swim, minitri$run, N=5)

    # bivariate normal corr= .8
    set.seed( 123)
    x<-rnorm( 2000)
    y<- .8*x +  sqrt( 1- .8**2)*rnorm( 200)
    #
    bplot.xy(x,y)
    #
    bplot.xy( x,y, breaks=seq( -3, 3,,25) ,
                    xlim =c(-4,4), ylim =c(-4,4), col="grey80", lwd=2)
    points( x,y,col=3, cex=.5)

[Package fields version 9.6.1 Index]