55 lines
2.0 KiB
R
55 lines
2.0 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/mstat.R
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\name{m.bivariate}
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\alias{m.bivariate}
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\title{Computes the bivariate M statistics}
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\usage{
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m.bivariate(w1, w2 = NULL, groups)
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}
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\arguments{
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\item{w1}{the weigth matrix indicating the presence probability of each motu
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used as focus species in each samples. Each line corresponds to a sample and each column
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to a MOTU. \code{rownames} of the \code{w} matrix must be the sample
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names. It is nice but not mandatory if the \code{colnames} refer to the MOTU id.}
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\item{w2}{the weigth matrix indicating the presence probability of each motu
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used as target species in each samples. Each line corresponds to a sample and each column
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to a MOTU. \code{rownames} of the \code{w} matrix must be the sample
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names. It is nice but not mandatory if the \code{colnames} refer to the MOTU id.
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if \code{w2} is not set, w1 is also used as target species. in this case the diagonal
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of the matrix return contains the univariate M statistic for the diferent species.}
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\item{groups}{the list of considered groups as computed by the \code{\link{dist.center.group}}
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function}
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}
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\value{
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a matrix of M bivariate statistics with one focus species by row and one target species
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by columns If \code{w2} is not specified the diagonal of the matrix is equal to the univariate
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M statistic of the corresponding species.
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}
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\description{
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The function computes the bivariate M statiscics for a set of target species around a set of
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focus species.
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}
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\examples{
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data(termes)
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termes.ok = termes[,colSums(termes$reads)>0]
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pos = expand.grid(1:3 * 10,1:7 * 10)
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labels = rownames(termes.ok)
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d = dist.grid(pos[,1],pos[2],labels)
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groups = dist.center.group(d,20)
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w = m.weight(termes.ok)
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m = m.bivariate(w,groups)
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}
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\references{
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Marcon, E., Puech, F., and Traissac, S. (2012).
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Characterizing the relative spatial structure of point patterns.
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International Journal of Ecology, 2012.
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}
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\seealso{
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\code{\link{dist.center.group}}
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\code{\link{m.weight}}
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}
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