hasseDiagram

Drawing Hasse Diagram


License
MIT

Documentation

CRAN Version Downloads License: MIT

HasseDiagram

This project is an R package providing method for drawing Hasse diagram - visualization of transitive reduction of a finite partially ordered set.

Installation in R

Install Rgraphviz (R version 3.6+):

install.packages("BiocManager")
BiocManager::install("Rgraphviz")

Or for older versions of R:

source("https://bioconductor.org/biocLite.R")
biocLite("Rgraphviz")

Then get the latest version of hasseDiagram directly from CRAN:

install.packages("hasseDiagram")

Tutorial

Input: n x n matrix that represents partial order of n elements, where in i-th row and j-th column ([i, j]) is TRUE iff i-th element precedes j-th one in the ordering.

Exemplary matrix of 8 nodes (elements) with 13 edges (relations):

data <- matrix(data = FALSE, ncol = 8, nrow = 8)
data[1, 2] = data[1, 3] = data[1, 4] = data[1, 5] = TRUE
data[6, 3] = data[6, 4] = data[6, 5] = TRUE
data[2, 4] = data[2, 5] = TRUE
data[3, 4] = data[3, 5] = TRUE
data[4, 5] = TRUE
data[7, 8] = TRUE

To draw Hasse diagram call:

hasse(data, labels=paste("Node", 1:8, sep="-"))

It results in the following diagram:

Example

Transitive reduction has been applied by default, but it can be controlled by a parameter. The same data visualized without applying transitive reduction:

hasse(data, labels=paste("Node", 1:8, sep="-"), parameters=list(transitiveReduction=FALSE))

Example

Nodes with the same parents, same children, and adjacent to each other are clustered by default into groups:

data <- matrix(data = FALSE, ncol = 4, nrow = 4)
data[1, 2] = data[1, 3] = data[1, 4] = TRUE
data[2, 3] = data[3, 2] = TRUE # cluster
data[2, 4] = TRUE
data[3, 4] = TRUE

hasse(data, labels=paste("Node", 1:4, sep="-"))

Example

This behavior can be switched off:

hasse(data, labels=paste("Node", 1:4, sep="-"), parameters=list(cluster=FALSE))

Example

It is also possible to cluster nodes that have common parents and children but are not adjacent to each other:

data <- matrix(data = FALSE, ncol = 4, nrow = 4)
data[1, 2] = data[1, 3] = data[1, 4] = TRUE
data[2, 4] = TRUE
data[3, 4] = TRUE
hasse(data, labels=paste("Node", 1:4, sep="-"), parameters=list(clusterNonAdjacent=TRUE))

Example

The package also allows for controlling shape and labels of nodes, direction of edges, and colors of nodes and edges. See documentation for more information.

Credits

The package has been improved thanks to guido-s and vsklad.

License

The MIT License (MIT)

Copyright (c) 2014-2020 Krzysztof Ciomek

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.