Function to obtain a matrix containing trait averages at community level.
For more details, see syncsa.
matrix.t(comm, traits, scale = TRUE, ranks = TRUE, notification = TRUE)Community data, with species as columns and sampling units as rows. This matrix can contain either presence/absence or abundance data.
Matrix or data frame of species described by traits, with traits as columns and species as rows.
Logical argument (TRUE or FALSE) to specify if the traits are measured on different scales (Default scale = TRUE). When scale = TRUE traits are measured on different scales and the matrix T is subjected to standardization within each trait. When scale = FALSE traits are measured on the same scale the matrix T is not subjected to standardization.
Logical argument (TRUE or FALSE) to specify if ordinal variables are convert to ranks (Default ranks = TRUE).
Logical argument (TRUE or FALSE) to specify if notifications of missing observations are shown (Default notification = TRUE).
Standardized community matrix, where rows are communities and columns species. Row totals (communities) = 1.
Matrix of traits, exactly the same data input.
Matrix containing trait averages at community level. If Scale = TRUE the matrix T is standardized within the traits.
Pillar, V.D.; Duarte, L.d.S. (2010). A framework for metacommunity analysis of phylogenetic structure. Ecology Letters, 13, 587-596.
Pillar, V.D., Duarte, L.d.S., Sosinski, E.E. & Joner, F. (2009). Discriminating trait-convergence and trait-divergence assembly patterns in ecological community gradients. Journal of Vegetation Science, 20, 334:348.
# NOT RUN {
data(ADRS)
matrix.t(ADRS$community, ADRS$traits)
# }
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