Imports: rlang, parallel, tidyr, patchwork, RSpectra
Packaged: 2021-10-01 15:39:19 UTC; christian

Depends: fda, dplyr, ggplot2, R (>= 3.6.0)
Imports: rlang, parallel, tidyr, patchwork, RSpectra, matrixStats
Packaged: 2022-06-14 21:22:28 UTC; christian

Title: Convenience Functions by Michael Chirico
Description: A set of functions, some subset of which I use in every .R file I write. Examples are table2(), which adds useful functionalities to base table (sorting, built-in proportion argument, etc.); lyx.xtable(), which converts xtable() output to a format more easily copy-pasted into LyX; pdf2(), which writes a plot to file while also displaying it in the RStudio plot window; and abbr_to_colClass(), which is a much more concise way of feeding many types to a colClass argument in a data reader.

Description: YACFP (Yet Another Convenience Function Package). get_age() is a fast & accurate tool for measuring fractional years between two dates. abbr_to_colClass() is a much more concise way of feeding many types to a colClass argument in a data reader. stale_package_check() tries to identify any library() calls to unused packages.
Packaged: 2020-04-12 15:39:59 UTC; michael.chirico

Title: Functional Clustering of Redundant Components of a System
Author: Benoît Jaillard [aut, cre] (<https://orcid.org/0000-0002-5156-1866>),
c(person(given = "Benoît", family = "Jaillard",
person(given = "Philippe", family = "Deleporte",
person(given = "Michel", family = "Loreau",
person(given = "Cyrille", family = "Violle",
Description: Cluster together the components that make up an interactive
system on the basis of their functional redundancy
for one or more collective, systemic performances.
Plot the hierarchical tree of component clusters,
the modelled and predicted performances of component assemblages,
and other results associated with a functional clustering.
Test and prioritize the significance of the different components
of the different assemblages of components that make up the dataset,
and of the different performances observed on the component assemblages.
The method finds application in ecology, for instance,
where the system is an ecosystem, the components are organisms or species,
and the systemic performance is the production of biomass
Jaillard B, Deleporte P, Loreau M, Violle C (2018)
"A combinatorial analysis using observational data identifies species
Imports: stats, utils, graphics, grDevices, multcompView, clusterCrit
Suggests: testthat, rmarkdown, knitr, R.rsp
Collate: 'functClust-package.R' 'data.R' 'constants.R' 'stats.R'