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cati (version 0.8)

Community Assembly by Traits: Individuals and beyond

Description

A package to detect and quantify community assembly processes using trait values of individuals or populations, the T-statistics and other metrics, and dedicated null models.

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Version

Install

install.packages('cati')

Monthly Downloads

361

Version

0.8

License

GPL (>= 2)

Maintainer

Adrien Taudiere

Last Published

June 24th, 2014

Functions in cati (0.8)

plot_randtest

Plot result of observed indices values against null distribution

RaoRel

Alpha, gamma and beta-components for taxonomic, functional and phylogenetic diversity

CVNND

Coefficient of variation of the nearest neigbourhood distance (CVNND)

plot.listofindex

Plot community assembly index

ses

Standardized effect size and confidence interval for a matrix of statistics

as.listofindex

Transform index results in a list of index

trait.flex.anova

Variance decomposition for a given trait

com.index.multi

Computing multitraits metrics to test and quantify the non-random assembly of communities

pie_partvar

Pie plot of variance partitioning.

plot_sp_var

Plot populations values against species values

finch.ind

Finch morphological data

Tstats

Computing observed T-statistics (T for Traits) and null expectations.

plot_cor.Tstats

Plot the bivariate relationships between T-statistics

plot_sp_pop

Plot populations values against species values

decomp_within

Variance partitioning for multiple traits

plot_ses.var

Plot SES values against a variable

plot_dens

Plot function to represent density of trait values

bar_partvar

Barplot of variance partitioning

com.index

Computing the moments of the trait distribution and other metrics to test and quantify the non-random assembly of communities

cati-package

Community Assembly by Traits: Individuals and beyond

partvar

Variance partitioning accross nested scales

ses.listofindex

Standardized effect size for a list of index.

ab_to_ind

Internal function. Transform abundance data matrix into individual like matrix.