# bplot.xy: Boxplots for conditional distribution In Rlab: Functions and Datasets Required for ST370 class

## 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

 ```1 2``` ```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.

bplot, boxplot

## Examples

 ```1 2 3 4 5 6 7 8``` ```# 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) ```

### Example output

```Rlab 2.15.1 attached.

Attaching package: 'Rlab'

The following objects are masked from 'package:stats':

dexp, dgamma, dweibull, pexp, pgamma, pweibull, qexp, qgamma,
qweibull, rexp, rgamma, rweibull

The following object is masked from 'package:datasets':

precip
```

Rlab documentation built on May 30, 2017, 3:26 a.m.