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All functions

AbToInd()
Internal function. Transform abundance data matrix into individual like matrix.
funky.col()
Auxiliary functions
CVNND() MNND() MinNND() SDNND() SDND() MND()
Coefficient of variation, mean, minimum and standard deviation of the nearest neigbourhood distance.
ComIndex() plot(<ComIndex>) print(<ComIndex>) summary(<ComIndex>)
Computing metrics to test and quantify the non-random assembly of communities
ComIndexMulti() plot(<ComIndexMulti>) print(<ComIndexMulti>) summary(<ComIndexMulti>)
Computing multitraits metrics to test and quantify the non-random assembly of communities
Fred()
Functional richness, evenness and divergence following Villeger et al. 2008
IndexByGroups()
Apply metrics to groups.
MinMaxMST()
Ratio of the shortest distance to the longest distance in a minimum spanning tree
Pval()
Calcul of p-value for object of class Tstats, ComIndex, ComIndexMulti and listofindex
RandCom()
Toy model to simulate internal and/or external filtering
RaoRel()
Alpha, gamma and beta-components for taxonomic, functional and phylogenetic diversity
SumBL()
Sum of branch length of a classification dendrogram (Petchey and Gaston, 2002)
Tstats() sum_Tstats() ses.Tstats() barplot(<Tstats>) plot(<Tstats>) print(<Tstats>) summary(<Tstats>)
Computing observed T-statistics (T for Traits) and null expectations.
as.listofindex()
Transform index results in a list of index
decompCTRE() barplot(<decompCTRE>)
Variance partitioning for multiple traits
finch.ind
Finch morphological data
partvar() barPartvar() piePartvar()
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
samplingSubsetData()
Sampling subset of data.
ses()
Standardized effect size and confidence interval for a matrix of statistics
ses.listofindex()
Standardized effect size for a list of index.
traitflex.anova() plot(<traitflex>) print(<traitflex>)
Variance decomposition for a given trait used in decompCTRE