ggplot2.violinplot: Easy violinplot plot with R package ggplot2

In kassambara/easyGgplot2: Perform and customize easily a plot with ggplot2

Description

Easy violinplot plot with R package ggplot2

Usage

ggplot2.violinplot(data, xName = NULL, yName = NULL, groupName = NULL,
  addMean = F, meanPointShape = 5, meanPointSize = 4,
  meanPointColor = "black", meanPointFill = "blue", addDot = FALSE,
  dotSize = 1, dotPosition = c("center", "jitter"), jitter = 0.2,
  groupColors = NULL, brewerPalette = NULL, ...)

Arguments

data	data.frame or a numeric vector. Columns are variables and rows are observations.
xName	The name of column containing x variable (i.e groups). Default value is NULL.
yName	The name of column containing y variable. If yName=NULL, data should be a numeric vector.
groupName	The name of column containing group variable. This variable is used to color plot according to the group.
addMean	if TRUE, the mean point is added on the plot for each group. Default value is FALSE.
meanPointShape	The shape of mean point.
meanPointSize	The size of mean point
meanPointColor	Border color of the mean point. Default value is "black".
meanPointFill	Fill color of mean point. This parameter is used only when meanPointShape=21 to 25. Default value is "blue"
addDot	If TRUE, dotplot is added on the boxplot. Default value is FALSE.
dotSize	The size of dots.
dotPosition	Possible values are "center" and "jitter". Default value is "center".
jitter	Degree of jitter in x direction. Default value is 0.2.
groupColors	Color of groups. groupColors should have the same length as groups.
brewerPalette	This can be also used to indicate group colors. In this case the parameter groupColors should be NULL. e.g: brewerPalette="Paired".
...	Other arguments passed on to ggplot2.customize custom function or to geom_dotplot and to geom_violin functions from ggplot2 package.

Value

a ggplot

Author(s)

Alboukadel Kassambara <[e-mail]>

References

http://www.sthda.com

See Also

ggplot2.dotplot, ggplot2.boxplot, ggplot2.stripchart, ggplot2.density, ggplot2.histogram

Examples

df <- ToothGrowth
ggplot2.violinplot(data=df, xName='dose',yName='len',
                mainTitle="Plot of length according\n to the dose",
                xtitle="Dose (mg)", ytitle="Length")

#Or use this
plot<-ggplot2.violinplot(data=df, xName='dose',yName='len')
plot<-ggplot2.customize(plot, mainTitle="Plot of length according\n to the dose",
                        xtitle="Dose (mg)", ytitle="Length")
print(plot)

kassambara/easyGgplot2 documentation built on May 20, 2019, 7:39 a.m.