DP | R Documentation |
The function DP
calculates Ricotta et al. (2020) plot-to-plot functional or phylogenetic beta uniqueness (index named D_F
for functional data and D_P
for phylogenetic data, calculated with equation 2 in Ricotta et al. 2020).
DP(mtree, comm, height = NULL, diag = FALSE, upper = FALSE, tol = 0.001)
mtree |
an object inheriting the class |
comm |
a matrix containing the relative or absolute abundance of all species in plots. Columns are species and plots are rows. Column labels (species names) should be assigned as in |
height |
either |
diag |
a logical value indicating whether the diagonal of the distance matrix should be printed by function |
upper |
a logical value indicating whether the upper triangle of the distance matrix should be printed by function |
tol |
a tolerance threshold. A value between - |
Object mtree
defines a tree with species as tips. If argument height
is NULL
, then the root of the tree will be placed at the most recent common ancestor of all species occurring in the set of plots (given in object comm
). An alternative position for the root can be given by specifying the height of the tree (argument height
). In that case, height
must be higher than the distance between tips and the most recent common ancestor of all species.
The tolerance threshold tol
is particularly important if your tree is not exactly ultrametric due to approximation problems. In that case, the distance from tip to root varies according to the tip considered, although it should not (variations are due to approximation problems). A difference smaller than tol
in the distance to root for two species will thus be considered as null.
The function returns a (semi-)matrix of class dist
with the values of the proposed dissimilarities for each pair of plots.
Sandrine Pavoine sandrine.pavoine@mnhn.fr
Ricotta, C., Laroche, F., Szeidl, L., Pavoine, S. (2020) From alpha to beta functional and phylogenetic redundancy. Methods in Ecology and Evolution. In press.
betaTreeUniqueness
for beta uniqueness, treeUniqueness
for alpha uniqueness
## Not run:
if(require(ape) && require(ade4)){
data(RutorGlacier)
phy <- read.tree(text=RutorGlacier$TreeNW)
plot(phy)
ab <- RutorGlacier$Abund[, phy$tip.label]
# Phylogenetic dissimilarities between plots
# (Ricotta et al. 2020)
Dp <- DP(phy, ab, tol=0.00001)
# Principal Coordinate Analysis of the dissimilarities
pcoDp <- dudi.pco(sqrt(Dp), full=TRUE)
s.class(pcoDp$li, as.factor(RutorGlacier$Fac))
}
## End(Not run)
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