Package: Mondrian 1.1.2

Aurélie Siberchicot

Mondrian: A Simple Graphical Representation of the Relative Occurrence and Co-Occurrence of Events

The unique function of this package allows representing in a single graph the relative occurrence and co-occurrence of events measured in a sample. As examples, the package was applied to describe the occurrence and co-occurrence of different species of bacterial or viral symbionts infecting arthropods at the individual level. The graphics allows determining the prevalence of each symbiont and the patterns of multiple infections (i.e. how different symbionts share or not the same individual hosts). We named the package after the famous painter as the graphical output recalls Mondrian’s paintings.

Authors:Aurélie Siberchicot [aut, cre], Delphine Charif [aut], Gabriel Terraz [aut], Fabrice Vavre [aut]

Mondrian_1.1.2.tar.gz
Mondrian_1.1.2.zip(r-4.7)Mondrian_1.1.2.zip(r-4.6)Mondrian_1.1.2.zip(r-4.5)
Mondrian_1.1.2.tgz(r-4.6-any)Mondrian_1.1.2.tgz(r-4.5-any)
Mondrian_1.1.2.tar.gz(r-4.7-any)Mondrian_1.1.2.tar.gz(r-4.6-any)
Mondrian_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
Mondrian/json (API)

# Install 'Mondrian' in R:
install.packages('Mondrian', repos = c('https://lbbe-software.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lbbe-software/mondrian/issues

Datasets:

On CRAN:

Conda:

4.18 score 3 stars 8 scripts 656 downloads 18 mentions 1 exports 1 dependencies

Last updated from:ef456c2d54. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK144
linux-release-x86_64OK116
macos-release-arm64OK102
macos-oldrel-arm64OK99
windows-develOK84
windows-releaseOK80
windows-oldrelOK70
wasm-releaseOK119

Exports:mondrian

Dependencies:RColorBrewer