Analysis of metacommunities based on functional traits and phylogeny of the community components. The functions that are offered here implement for the R environment methods that have been available in the SYNCSA application written in C++ (by Valerio Pillar, available at http://ecoqua.ecologia.ufrgs.br/ecoqua/SYNCSA.html).

Analysis of Functional and Phylogenetic Patterns in
Metacommunities
vegan, FD, permute, RcppArmadillo, utils, stats, graphics,
parallel
Analysis of metacommunities based on functional traits and
phylogeny of the community components. The functions that are offered here
implement for the R environment methods that have been available in the
SYNCSA application written in C++ (by Valerio Pillar, available at <http://
ecoqua.ecologia.ufrgs.br/ecoqua/SYNCSA.html>).

Analysis of metacommunities based on functional traits and
phylogeny of the community components. The functions that are offered here
implement for the R environment methods that have been available in the
SYNCSA application written in C++ (by Valerio Pillar, available at
<http://ecoqua.ecologia.ufrgs.br/SYNCSA.html>).
'CollectNames.R' 'ProgressBAR.R' 'belonging.R' 'cent.norm.R'
'cor.matrix.R' 'cor.mantel.R' 'cor.matrix.partial.R'
'cor.matrix2.R' 'cor.procrustes.R' 'matmult.syncsa.R'
'matrix.p.R' 'matrix.t.R' 'matrix.x.R' 'optimal.R'
'organize.syncsa.R' 'part.cor.R' 'pca.R' 'permut.row.matrix.R'
'permut.vector.R' 'plot.pcasyncsa.R' 'print.optimal.R'
'syncsa.R' 'print.syncsa.R' 'pro.matrix.R'
'pro.matrix.partial.R' 'pro.matrix2.R' 'procrustes.syncsa.R'
'procrustes.partial.R' 'rao.diversity.R' 'startup.R'
'var.dummy.R' 'var.type.R'

Sabermetrics Functions For Baseball Analytics
A collection of baseball analytics functions for sabermetrics purposes. Among these functions include popular metrics such as OBP, wOBA, runs created functions as well as field-independent pitching metrics.

Sabermetrics Functions for Baseball Analytics
Peter Xenopoulos, Fernando Crema <www.peterxeno.com>
A collection of baseball analytics functions for sabermetrics
purposes. Among these functions include popular metrics such as FIP, wOBA, and
runs created and other advanced metrics.