Luminescence (version 0.6.1)

plot_ViolinPlot: Create a violin plot

Description

Draws a kernal densiy plot in combination with a boxplot in its middle. The shape of the violin is constructed using a mirrored density curve. This plot is especially designed for cases where the individual errors are zero or to small to be visualised. The idea for this plot is based on the the 'volcano plot' in the ggplot2 package by Hadely Wickham and Winston Chang. The general idea for the Violin Plot seems to be introduced by Hintze and Nelson (1998).

Usage

plot_ViolinPlot(data, boxplot = TRUE, rug = TRUE, summary = NULL, summary.pos = "sub", na.rm = TRUE, ...)

Arguments

data

numeric or RLum.Results object (required): input data for plotting. Alternatively a data.frame or a matrix can be provided, but only the first column will be considered by the function

boxplot

logical (with default): enable or disable boxplot

rug

logical (with default): enable or disable rug

summary

character (optional): add statistic measures of centrality and dispersion to the plot. Can be one or more of several keywords. See details for available keywords.

summary.pos

numeric or character (with default): optional position keywords (cf., legend) for the statistical summary. Alternatively, the keyword "sub" may be specified to place the summary below the plot header. However, this latter option in only possible if mtext is not used.

na.rm

logical (with default): exclude NA values from the data set prior to any further operations.

...

further arguments and graphical parameters passed to plot.default, density and boxplot. See details for further information

Function version

0.1.2 (2016-05-17 13:27:04)

Details

The function is passing several arguments to the function plot, density, boxplot: Supported arguments are: xlim, main, xlab, ylab, col.violin, col.boxplot, mtext, cex, mtext

Valid summary keywords

'n', 'mean', 'median', 'sd.abs', 'sd.rel', 'se.abs', 'se.rel', 'skewness', 'kurtosis'

References

Daniel Adler (2005). vioplot: A violin plot is a combination of a box plot and a kernel density plot. R package version 0.2 http://CRAN.R-project.org/package=violplot

Hintze, J.L., Nelson, R.D., 1998. A Box Plot-Density Trace Synergism. The American Statistician 52, 181-184.

Raphael W. Majeed (2012). violinmplot: Combination of violin plot with mean and standard deviation. R package version 0.2.1. http://CRAN.R-project.org/package=violinmplot

Wickham. H (2009). ggplot2: elegant graphics for data analysis. Springer New York.

See Also

density, plot, boxplot, rug, calc_Statistics

Examples

## read example data set
data(ExampleData.DeValues, envir = environment())
ExampleData.DeValues <- Second2Gray(ExampleData.DeValues$BT998, c(0.0438,0.0019))

## create plot straightforward
plot_ViolinPlot(data = ExampleData.DeValues)