Package: Mondrian 1.1-1

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_1.1-1.tar.gz
Mondrian_1.1-1.zip(r-4.5)Mondrian_1.1-1.zip(r-4.4)Mondrian_1.1-1.zip(r-4.3)
Mondrian_1.1-1.tgz(r-4.4-any)Mondrian_1.1-1.tgz(r-4.3-any)
Mondrian_1.1-1.tar.gz(r-4.5-noble)Mondrian_1.1-1.tar.gz(r-4.4-noble)
Mondrian_1.1-1.tgz(r-4.4-emscripten)Mondrian_1.1-1.tgz(r-4.3-emscripten)
Mondrian.pdf |Mondrian.html
Mondrian/json (API)

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

Peer review:

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

Datasets:

On CRAN:

1 exports 2 stars 3.33 score 1 dependencies 18 mentions 5 scripts 773 downloads

Last updated 2 months agofrom:b63026f210. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 18 2024
R-4.5-winOKAug 18 2024
R-4.5-linuxOKAug 18 2024
R-4.4-winOKAug 18 2024
R-4.4-macOKAug 18 2024
R-4.3-winOKAug 18 2024
R-4.3-macOKAug 18 2024

Exports:mondrian

Dependencies:RColorBrewer