Description Usage Arguments Value Note Author(s) References See Also Examples
Function to obtain a matrix containing trait averages at community level.
For more details, see syncsa
.
1 |
comm |
Community data, with species as columns and sampling units as rows. This matrix can contain either presence/absence or abundance data. |
traits |
Matrix or data frame of species described by traits, with traits as columns and species as rows. |
scale |
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. |
ranks |
Logical argument (TRUE or FALSE) to specify if ordinal variables are convert to ranks (Default ranks = TRUE). |
notification |
Logical argument (TRUE or FALSE) to specify if notifications of missing observations are shown (Default notification = TRUE). |
matriz.w |
Standardized community matrix, where rows are communities and columns species. Row totals (communities) = 1. |
matriz.b |
Matrix of traits, exactly the same data input. |
matriz.T |
Matrix containing trait averages at community level. If Scale = TRUE the matrix T is standardized within the traits. |
IMPORTANT: The sequence species show up in community data
matrix MUST be the same as they show up in traits matrix. See
organize.syncsa
.
Vanderlei Julio Debastiani <vanderleidebastiani@yahoo.com.br>
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.
syncsa
, organize.syncsa
,
matrix.p
, matrix.x
1 2 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.