bplot.xy {fields} | R Documentation |
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.
bplot.xy(x, y, N = 10, breaks = pretty(x, N, eps.correct = 1), style = "tukey", outlier = TRUE, plot = TRUE, xaxt = "s", ...)
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. |
bplot, draw.bplot
# 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)