Engelmann-Hecker-Plot - EH-Plot
This R function provides a convenient way to visualize the distribution of grouped numerical data.
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, ...)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 |
Robby Engelmann <robby.engelmann@med.uni-rostock.de> and Michael Hecker <michael.hecker@rocketmail.com>
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)])
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