vioplotGP: Violin plots for Groups
In Rekyt/divr: Custom Functions from ECOPAR people

Description Usage Arguments See Also Examples

View source: R/vioplotGP.R

Produce a Violin plot according to groups taking into account weightings and compute comparison tests

vioplotGP(x, gp, weights = NULL, labels = NA, xlab = NA, xlim = NA,
  ylim = NA, at = NA, wex = 0.75, h = NA, nblim = 10,
  Test = NA, adj.Test = 0.01, line.Test = NA, side.Test = 3,
  Fname = NA, type.letters = "latin", pos.letters = 1,
  col.letters = 1, add = F, col = 1, pch = 19, lwd = 1,
  lty = 1, cex = 1, cex.points = 1, col.points = 1, bg = 1,
  las = 0, boxplot = TRUE, side = "above", fill = NA, pts = TRUE,
  boxplot.fill = "white", horizontal = TRUE)

`x`	a numeric vector of data
`gp`	factors with the same length as x describing groups
`weights`	a numeric vector with the same length as x
`labels`	group names in the same order than `gp` levels
`xlab`	label for the x-axis
`xlim,`	ylim range of values used for x and y-axes
`at`	position of each group in the y-axis
`wex`	the maximum value for the density curve
`h`	the kernel density smoothing parameter
`nblim`	minimum length of x for computing the kernel density
`Test`	a character value for group comparison tests "tukey" or "wilcox"
`adj.Test, side.Test, line.Test`	position paramters for the test value and P.value
`Fname`	?
`type.letters`	if Test is done, "latin" or "greek" letters are used to show significant differences between groups
`pos.letters, col.letters`	position (1, 2, 3 or 4) and colors for letters
`add`	if TRUE adds the plot to the current plot window
`col`	?
`pch`	?
`lwd`	?
`lty`	?
`cex`	?
`cex.points`	?
`col.points`	?
`bg`	?
`las`	?
`boxplot`	logical value for adding a boxplot or not
`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 distribution curve
`boxplot.fill`	the color of the boxplot
`horizontal`	logical value

For group comparison see vioplotGp

data("ChickWeight")
vioplotGP(x = chickwts$weight, gp = chickwts$feed, las = 2,
          horizontal = FALSE, side = "both", wex = .4, fill = "grey70",
          boxplot.fill = "grey30", xlab = "Chick weights (mg)",
          Test = "tukey", pos.letters = 3, col.letters = "white",
          col.points = "grey50")