gwsca.vioplot: Create violin plots with

In spflanagan/gwscaR: Genome-wide Selection Components Analysis in R

Description

Create violin plots with

Usage

gwsca.vioplot(x, ..., range = 1.5, h = NULL, ylim = NULL,
  names = NULL, horizontal = FALSE, col = "magenta",
  border = "black", lty = 1, lwd = 1, rectCol = "black",
  colMed = "white", pchMed = 19, at, add = FALSE, wex = 1,
  drawRect = TRUE, plot.axes = TRUE, axis.box = FALSE,
  plot.ann = TRUE, axis.bty = "l")

Arguments

x	the data to plot
...	legend parameters
range	The range for plotting
h	The height of the density estimator (in sm.density), if ommitted h will be set to an optimum
ylim	The y-axis limits
names	Names to plot (default is NULL)
horizontal	Whether the plot should be horizontal (defaults to FALSE)
col	Color for violin plots
border	Border color
lty	Line type
lwd	line width
rectCol	rectangle color
colMed	median point color
pchMed	median point size
at	The location for things
add	Whether the plot gets added to others (defaults to FALSE)
wex	Size of something
drawRect	Whether to add rectangles to violin plots (defaults to TRUE)
plot.axes	A logical value that determines whether or not to add axes (defaults to TRUE)
axis.box	A logical value that determines whether the axes should be a box (defaults to FALSE)
plot.ann	A logical value that determines whether the annotations should be plotted (defaults to TRUE)
axis.bty	The axis box type (default is L)

Value

Optionally returns the summary statistics of the data.

Note

Modified from vioplot() in library(vioplot)

Examples

library(sm)
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)
gwsca.vioplot(bimodal,uniform,normal,col=c("red","blue","green"))

spflanagan/gwscaR documentation built on Nov. 14, 2019, 9:16 p.m.