The set following set of utility functions are provided:
Function
trajectorySelection
allows selecting the submatrix of distances corresponding to a given subset of trajectories.Function
centerTrajectories
shifts all trajectories to the center of the compositional space and returns a modified distance matrix.Function
is.metric
checks whether the input dissimilarity matrix is metric (i.e. all triplets fulfill the triangle inequality).
Usage
trajectorySelection(d, sites, selection)
centerTrajectories(d, sites, verbose = FALSE)
is.metric(d, tol = 1e-04)
Arguments
- d
A symmetric
matrix
or an object of classdist
containing the distance values between pairs of ecosystem states (see details).- sites
A vector indicating the site corresponding to each ecosystem state.
- selection
A character vector of sites, a numeric vector of site indices or logical vector of the same length as
sites
, indicating a subset of site trajectories to be selected.- verbose
Provides console output informing about process (useful for large dataset).
- tol
Tolerance value for metricity
Value
Function centerTrajectories
and trajectorySelection
return an object of class dist
.
Details
Details of calculations are given in De Cáceres et al (2019).
Function centerTrajectories
performs centering of trajectories using matrix algebra as explained in Anderson (2017).
References
De Cáceres M, Coll L, Legendre P, Allen RB, Wiser SK, Fortin MJ, Condit R & Hubbell S. (2019). Trajectory analysis in community ecology. Ecological Monographs 89, e01350.
Anderson (2017). Permutational Multivariate Analysis of Variance (PERMANOVA). Wiley StatsRef: Statistics Reference Online. 1-15. Article ID: stat07841.