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),
             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 there are quite a few that are useful, see the help file for bplot for details.

### 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= .6
    set.seed( 123)
    x<-rnorm( 2000)
    y<- .6*x +  sqrt( 1- .6**2)*rnorm( 200)
    #
    #
    bplot.xy( x,y, breaks=seq( -3, 3,,15) ,xlim =c(-4,4), ylim =c(-4,4))
    points( x,y, pch=".", col=3)

[Package fields version 5.02 Index]