.Random.seed | Finch morphological data |

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

as.listofindex | Transform index results in a list of index |

barPartvar | Variance partitioning accross nested scales |

barplot.decompCTRE | Variance partitioning for multiple traits |

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

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

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

CVNND | Coefficient of variation, mean, minimum and standard deviation of the nearest neigbourhood distance. |

decompCTRE | Variance partitioning for multiple traits |

finch.ind | Finch morphological data |

Fred | Functional richness, evenness and divergence following Villeger et al. 2008 |

funky.col | Auxiliary functions |

ind.plot.finch | Finch morphological data |

IndexByGroups | Apply metrics to groups. |

MinMaxMST | Ratio of the shortest distance to the longest distance in a minimum spanning tree |

MinNND | Coefficient of variation, mean, minimum and standard deviation of the nearest neigbourhood distance. |

MND | Coefficient of variation, mean, minimum and standard deviation of the nearest neigbourhood distance. |

MNND | Coefficient of variation, mean, minimum and standard deviation of the nearest neigbourhood distance. |

partvar | Variance partitioning accross nested scales |

piePartvar | Variance partitioning accross nested scales |

plot.ComIndex | Computing metrics to test and quantify the non-random assembly of communities |

plot.ComIndexMulti | Computing multitraits metrics to test and quantify the non-random assembly of communities |

plot.listofindex | Plot community assembly index |

plot.traitflex | Variance decomposition for a given trait used in decompCTRE |

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

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 |

print.ComIndex | Computing metrics to test and quantify the non-random assembly of communities |

print.ComIndexMulti | Computing multitraits metrics to test and quantify the non-random assembly of communities |

print.traitflex | Variance decomposition for a given trait used in decompCTRE |

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

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 |

samplingSubsetData | Sampling subset of data. |

SDND | Coefficient of variation, mean, minimum and standard deviation of the nearest neigbourhood distance. |

SDNND | Coefficient of variation, mean, minimum and standard deviation of the nearest neigbourhood distance. |

ses | Standardized effect size and confidence interval for a matrix of statistics |

ses.listofindex | Standardized effect size for a list of index. |

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

sp.finch | Finch morphological data |

SumBL | Sum of branch length of a classification dendrogram (Petchey and Gaston, 2002) |

summary.ComIndex | Computing metrics to test and quantify the non-random assembly of communities |

summary.ComIndexMulti | Computing multitraits metrics to test and quantify the non-random assembly of communities |

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

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

traitflex.anova | Variance decomposition for a given trait used in decompCTRE |

traits.finch | Finch morphological data |

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