We use the R dataset iris.
iris format :
A data
frame with 150 observations on the following 5 variables :
Sepal.Length
Sepal.Width
Petal.length
Petal.Width
Species
| Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Species |
|---|---|---|---|---|
| 5.1 | 3.5 | 1.4 | 0.2 | setosa |
| 4.9 | 3.0 | 1.4 | 0.2 | setosa |
| 4.7 | 3.2 | 1.3 | 0.2 | setosa |
| 4.6 | 3.1 | 1.5 | 0.2 | setosa |
| 5.0 | 3.6 | 1.4 | 0.2 | setosa |
| 5.4 | 3.9 | 1.7 | 0.4 | setosa |
| 4.6 | 3.4 | 1.4 | 0.3 | setosa |
| 5.0 | 3.4 | 1.5 | 0.2 | setosa |
ggparcoord() functionggparcoord(
data, Dataset to plot
columns, A vector of variables to be axes in the plot
groupColumn = NULL, a single variable to group
(color) by
scale = "std", Method used
to scale the variables
scaleSummary = "mean", if
scale=="center", summary statistic to univariately
center each variable by
centerObsID = 1, If
scale=="centerObs", row number of case plot should
univariately be centered on
missing = "exclude",
Method used to handle missing values
order = columns,
Method used to order the axes
showPoints = FALSE,
logical operator indicating whether points should be plotted or not
splineFactor = FALSE, Logical or numeric operator
indicating whether spline interpolation should be used
alphaLines = 1, Value of alpha scaler for the lines of the
parcoord plot or a column name of the data
boxplot = FALSE, Logical operator indicating whether or not
boxplots should underlay the distribution of each variable
shadeBox = NULL, Color of underlying box which extends from
the min to the max for each variable
mapping = NULL,
aes string to pass to ggplot object
title, Character
string denoting the title of the plot
)
This document is a work of the statistics team in the Biostatistics and Medical Information Department at Saint-Louis Hospital in Paris (SBIM).
Based on The R Graph Gallery by Yan Holtz.