vioplot: violin plots

In Rekyt/divr: Custom Functions from ECOPAR people

Description

Produce a violin plot taking into account weightings

Usage

vioplot(x, weights = NULL, xlim = NA, ylim = NA, xlab = NA,
  label = "none", wex = 0.75, h = NA, add = F, nblim = 10,
  at = 1, pch = 19, lwd = 1, col = 1, col.points = 1, lty = 1,
  cex = 1, las = 0, boxplot = TRUE, bg = 1, side = "above",
  fill = NA, pts = TRUE, boxplot.fill = "white", horizontal = TRUE)

Arguments

x	a numeric vector of data
weights	a numeric vector with the same length as x
xlim	limit of x in plot
ylim	limit of y in plot
xlab	label for x axis
label	general plot label
wex	the maximum value for the density curve
h	the kernel density smoothing parameter
add	if TRUE adds the plot to the current plot window
nblim	minimum length of x for computing the kernel density
at	?
pch	points aspect
lwd	?
col	?
col.points	?
lty	?
cex	?
las	?
boxplot	logical value for adding a boxplot or not
bg	background color
side	a character value describing if the distribution should be drawn in the "above", "below", "right", "left" or "both" side(s)
fill	the color of the distribution area
pts	logical value for adding x data on the curve distribution
boxplot.fill	the color of the boxplot
horizontal	logical value

See Also

For group comparison see vioplotGp

Examples

data("ChickWeight")
vioplot(x = chickwts$weight, horizontal = FALSE, side="both", fill="grey70",
        boxplot.fill="grey30", label = "Weights", xlab = "none")

Rekyt/divr documentation built on April 1, 2020, 5:35 a.m.