ehplot: Engelmann-Hecker-Plot - EH-Plot

In plotrix: Various Plotting Functions

Engelmann-Hecker-Plot - EH-Plot

Description

This R function provides a convenient way to visualize the distribution of grouped numerical data.

Usage

  ehplot(data, groups, intervals=50, offset=0.1, log=FALSE,
         median=TRUE, box=FALSE, boxborder="grey50",
         xlab="groups", ylab="values", col="black",
         add=FALSE, sort=TRUE, ...)

Arguments

data	Vector of numerical data.
groups	Vector of group names which should have the same length as data.
intervals	The data is splitted into a certain number of intervals. If data points are in the same interval they are drawn side-by-side.
offset	x-distance between two data points at the same interval.
log	Logarithmic display
median	To show the median of each group. NAs in data are not considered for calculating the medians.
box	To underlay a boxplot.
boxborder	The color of the boxplot if a boxplot is drawn.
xlab	x-axis label
ylab	y-axis label
col	vector of colors for the datapoints. (recycled as necessary).
add	add this plot to an existing one (i.e. do not call plot.new).
sort	normally, the groups are sorted by name. To keep the order as provided in the groups-vector, set this to FALSE
...	additional plot-parameters will be passed to the plot-function

Author(s)

Robby Engelmann <[e-mail]> and Michael Hecker <[e-mail]>

Examples

data(iris)
ehplot(iris$Sepal.Length, iris$Species, intervals=20, cex=1.8, pch=20)
ehplot(iris$Sepal.Width, iris$Species, intervals=20, box=TRUE, median=FALSE)
ehplot(iris$Petal.Length, iris$Species, pch=17, col="red", log=TRUE)
ehplot(iris$Petal.Length, iris$Species, offset=0.06, pch=as.numeric(iris$Species))

# Groups don't have to be presorted:
rnd <- sample(150)
plen <- iris$Petal.Length[rnd]
pwid <- abs(rnorm(150, 1.2))
spec <- iris$Species[rnd]
ehplot(plen, spec, pch=19, cex=pwid, col=rainbow(3, alpha=0.6)[as.numeric(spec)])

plotrix documentation built on Nov. 10, 2023, 5:07 p.m.