| vioplotW {wrGraph} | R Documentation | 
Violin-plots version W
Description
This function allows generating Violin plots) using a variety of input formats and offers additional options for colors.
Main input may be multiple vectors, a matrix or list of multiple data-elements (entries may be of variable length),
individual colors for different sets of data or color-gradients can be specified, and the display of n per set of data was integtated
(based on an inspiration from the discussion 'Removing-NAs-from-dataframe-for-use-in-Vioplot' on the forum Nabble).
It is also possible to plot pairwise half-violins for easier pairwise-comparisons (using halfViolin="pairwise").
Many arguments are kept similar to vioplot (here, the package vioplot is not required/used).
Usage
vioplotW(
  x,
  ...,
  finiteOnly = TRUE,
  removeEmpty = FALSE,
  halfViolin = FALSE,
  boxCol = "def",
  hh = NULL,
  xlim = NULL,
  ylim = NULL,
  nameSer = NULL,
  cexNameSer = NULL,
  horizontal = FALSE,
  col = "rainbow",
  border = "black",
  xlab = NULL,
  ylab = NULL,
  cexLab = NULL,
  cexAxis = NULL,
  lty = 1,
  pointCol = NULL,
  cexPt = NULL,
  tit = NULL,
  las = 1,
  lwd = 1,
  rectCol = "black",
  at = 0,
  add = FALSE,
  wex = NULL,
  silent = FALSE,
  debug = FALSE,
  callFrom = NULL
)
Arguments
| x | (matrix, list or data.frame) data to plot, or first series of data | 
| ... | (numeric) additional sets of data to plot | 
| finiteOnly | (logical) eliminate non-finite elements to avoid potential errors (eg when encountering  | 
| removeEmpty | (logical) omit empty series (or less than 4 finite numeric entries) of data from plot | 
| halfViolin | (logical or character) decide with  | 
| boxCol | (character) decide if boxplot should be adde inside the violin, use "def" for default transparent grey | 
| hh | (numeric, length <4) smoothing parameter (standard deviation to kernel function, if omited anormal optimal smoothing parameter is used); equivalent to argument  | 
| xlim | ( | 
| ylim | ( | 
| nameSer | (character) custom label for data-sets or columns (length must match number of data-sets) | 
| cexNameSer | (numeric) size of individual data-series labels as cex-expansion factor (see also  | 
| horizontal | (logical) orientation of plot | 
| col | (character or integer) custom colors or gradients like 'rainbow', 'grayscale', 'heat.colors', 'topo.colors', 'Spectral' or 'Paired', or you may use colors made by the package colorRamps | 
| border | (character) custom color for figure border | 
| xlab | (character) custom x-axis label | 
| ylab | (character) custom y-axis label | 
| cexLab | (numeric) size of axis labels as cex-expansion factor (see also  | 
| cexAxis | (numeric) size of numeric y-axis labels as cex-expansion factor (see also  | 
| lty | (integer) line-type for linear regression line (see also  | 
| pointCol | (character or numeric) display of median: color (defauly white) | 
| cexPt | (numeric) display of median : size of point as cex-expansion factor (see also  | 
| tit | (character) custom title to figure | 
| las | (integer) orientation of axis labels (see also  | 
| lwd | (integer) width of line(s) (see also  | 
| rectCol | (character) color of rectangle | 
| at | (numeric) custom locoation of data-series names, ie the points at which tick-marks are to be drawn, will be passed to  | 
| add | (logical) add to existing plot if  | 
| wex | (integer) relative expansion factor of the violin | 
| silent | (logical) suppress messages | 
| debug | (logical) additional messages for debugging | 
| callFrom | (character) allow easier tracking of messages produced | 
Details
The (relative) width of the density-profiles ('Violins') may be manually adjusted using the parameter wex which applieds to all profiles drawn.
Please note that different n (eg for different columns) will not be shown, so far.
Note : Arguments have to be given with full names, lazy evaluation of arguments will not work properly with this function (since '...' is used to capture additional data-sets). Note : vioplot offers better options for plotting formulas
Value
This function plots a figure (to the current graphical device)
See Also
the package vioplot, sm is used for the density estimation
Examples
set.seed(2013)
dat6 <- matrix(round(rnorm(300) +3, 1), ncol=6,
	 dimnames=list(paste0("li",1:50), letters[19:24]))
vioplotW(dat6)
## variable number of elements (each n is displayed)
dat6b <- apply(dat6, 2, function(x) x[which(x < 5)])
dat6b[[4]] <- dat6b[[4]][dat6b[[4]] < 4]
vioplotW(dat6b, col="Spectral")
vioplotW(dat6b, col="Spectral" ,halfViolin="pairwise", horizontal=TRUE)
vioplotW(dat6b, col="Spectral", halfViolin="pairwise", horizontal=FALSE)