cati0.99.4 package

Community Assembly by Traits: Individuals and Beyond

AbToInd

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

as.listofindex

Transform index results in a list of index

Auxiliary.functions.rd

Auxiliary functions

ComIndex

Computing metrics to test and quantify the non-random assembly of comm...

ComIndexMulti

Computing multitraits metrics to test and quantify the non-random asse...

CVNND

Coefficient of variation, mean, minimum and standard deviation of the ...

decompCTRE

Variance partitioning for multiple traits

Fred

Functional richness, evenness and divergence following Villeger et al....

IndexByGroups

Apply metrics to groups.

MinMaxMST

Ratio of the shortest distance to the longest distance in a minimum sp...

partvar

Variance partitioning accross nested scales

plot.listofindex

Plot community assembly index

plotCorTstats

Plot the bivariate relationships between T-statistics

plotDistri

Plot function to represent density of trait values

plotRandtest

Plot result of observed indices values against null distribution

plotSESvar

Plot SES values against a variable

plotSpPop

Plot populations values against species values

plotSpVar

Plot populations values against species values

Pval

Calcul of p-value for object of class Tstats, ComIndex, ComIndexMulti ...

RandCom

Toy model to simulate internal and/or external filtering

RaoRel

Alpha, gamma and beta-components for taxonomic, functional and phyloge...

samplingSubsetData

Sampling subset of data.

ses.listofindex

Standardized effect size for a list of index.

ses

Standardized effect size and confidence interval for a matrix of stati...

SumBL

Sum of branch length of a classification dendrogram (Petchey and Gasto...

traitflex.anova

Variance decomposition for a given trait used in decompCTRE

Tstats

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

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