plotrix (version 3.7-7)

ehplot: 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

Examples

# NOT RUN {
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)])
# }