Box-percentile plots
Producess side-by-side box-percentile plots from several vectors or a list of vectors.
bpplot(..., name=TRUE, main="Box-Percentile Plot",
xlab="", ylab="", srtx=0, plotopts=NULL)... |
vectors or lists containing
numeric components (e.g., the output of |
name |
character vector of names for the groups.
Default is |
main |
main title for the plot. |
xlab |
x axis label. |
ylab |
y axis label. |
srtx |
rotation angle for x-axis labels. Default is zero. |
plotopts |
a list of other parameters to send to |
There are no returned values
A plot is created on the current graphics device.
Box-percentile plots are similiar to boxplots, except box-percentile plots supply more information about the univariate distributions. At any height the width of the irregular "box" is proportional to the percentile of that height, up to the 50th percentile, and above the 50th percentile the width is proportional to 100 minus the percentile. Thus, the width at any given height is proportional to the percent of observations that are more extreme in that direction. As in boxplots, the median, 25th and 75th percentiles are marked with line segments across the box.
Jeffrey Banfield
umsfjban@bill.oscs.montana.edu
Modified by F. Harrell 30Jun97
Esty WW, Banfield J: The box-percentile plot. J Statistical Software 8 No. 17, 2003.
set.seed(1)
x1 <- rnorm(500)
x2 <- runif(500, -2, 2)
x3 <- abs(rnorm(500))-2
bpplot(x1, x2, x3)
g <- sample(1:2, 500, replace=TRUE)
bpplot(split(x2, g), name=c('Group 1','Group 2'))
rm(x1,x2,x3,g)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.