Description Usage Arguments Details Author(s) References See Also Examples
Produce violin plot(s) of the given (grouped) values.
1 2 3 4 |
x |
data vector |
... |
additional data vectors |
range |
a factor to calculate the upper/lower adjacent values |
h |
the height for the density estimator, if omit as explained in sm.density, h will be set to an optimum |
ylim |
y limits |
names |
one label, or a vector of labels for the datas must match the number of datas given |
col, border, lty, lwd |
Graphical parameters for the violin passed to lines and polygon |
rectCol, colMed, pchMed |
Graphical parameters to control the look of the box |
drawRect |
logical. the box is drawn if |
at |
position of each violin. Default to |
add |
logical. if FALSE (default) a new plot is created |
wex |
relative expansion of the violin. |
horizontal |
logical. horizontal or vertical violins |
A violin plot is a combination of a box plot and a kernel density plot. Specifically, it starts with a box plot. It then adds a rotated kernel density plot to each side of the box plot.
Daniel Adler dadler@uni-goettingen.de
Romain Francois francoisromain@free.fr ; http://francoisromain.free.fr : horizontal violins and additionnal graphical parameters
Hintze, J. L. and R. D. Nelson (1998). Violin plots: a box plot-density trace synergism. The American Statistician, 52(2):181-4.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # box- vs violin-plot
par(mfrow=c(2,1))
mu<-2
si<-0.6
bimodal<-c(rnorm(1000,-mu,si),rnorm(1000,mu,si))
uniform<-runif(2000,-4,4)
normal<-rnorm(2000,0,3)
vioplot(bimodal,uniform,normal)
boxplot(bimodal,uniform,normal)
# add to an existing plot
x <- rnorm(100)
y <- rnorm(100)
plot(x, y, xlim=c(-5,5), ylim=c(-5,5))
vioplot(x, col="tomato", horizontal=TRUE, at=-4, add=TRUE,lty=2, rectCol="gray")
vioplot(y, col="cyan", horizontal=FALSE, at=-4, add=TRUE,lty=2)
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