sp.to.fe: Compute Functional Entities composition based on a Species x...

In mFD: Compute and Illustrate the Multiple Facets of Functional Diversity

Compute Functional Entities composition based on a Species x Traits matrix

Description

Compute Functional Entities composition based on a Species x Traits matrix

Usage

sp.to.fe(sp_tr, tr_cat, fe_nm_type = "fe_rank", check_input = TRUE)

Arguments

sp_tr	a data frame containing species as rows and traits as columns.
tr_cat	a data frame containing three columns for each trait (rows): trait_name: names of all traits as in sp_tr data frame; trait_type: category codes for each trait as followed: N for Nominal traits (factor variable), O for Ordinal traits (ordered variable), C for Circular traits (integer values), Q for Quantitative traits (numeric values) that is allowed only if there are at least 2 species with the same value, and F for fuzzy-coded traits (i.e. described with several 'sub-traits'); fuzzy_name name of fuzzy-coded trait to which 'sub-trait' belongs (if trait is not fuzzy, ignored so could be trait name or NA).
fe_nm_type	a character string referring to the type of naming functional entities. Two possible values: "fe_rank" (FE are named after their decreasing rank in term of number of species i.e. fe_1 is the one gathering most species) and "tr_val" (FE are named after names of traits and of trait values for each FE, if possible, see details below). Default: fe_nm_type = "fe_rank".
check_input	a logical value indicating whether key features the inputs are checked (e.g. class and/or mode of objects, names of rows and/or columns, missing values). If an error is detected, a detailed message is returned. Default: check.input = TRUE.

Details

fe_nm_type = "tr_val" is allowed only if:

• there are less than 7 traits;

• none of them is fuzzy-coded (so that names are not too long)

• all trait names and all trait values have different 2 first letters

If these 3 conditions are met, names of Functional Entities are made as a character string of up to 2 letters for trait name in upper case font then up to 2 letters for trait value in lower case font, separated by "_" between traits. Trait names are abbreviated to a single letter whenever possible. Examples: ("TAc2_TBxx_TCyy", "TAc3_TBff_TCyy") or ("A2_Bx_Cy", "A3_Bf_Cy")

Value

A list of objects containing:

• fe_nm: a vector with names of all FE (following fe_nm_type). FE are ordered according to the decreasing number of species they gather.

• sp_fe: a vector containing for each species the name of the FE it belongs to. FE order is done according to decreasing number of species.

• fe_tr: a data frame containing traits values (variables in columns) for each FE (rows). FE order is done according to decreasing number of species.

• fe_nb_sp: a vector with species number per FE. If all FE have only one species, a warning message is returned. FE are ordered according to the decreasing number of species they gather.

• details_fe: a list containing: fe_codes a vector containing character referring to traits values (like a barcode) with names as in fe_nm_type and sorted according to fe_nb_sp; tr_uval a list containing for each trait a vector of its unique values or a data frame for fuzzy-coded traits; fuzzy_E a list with for each fuzzy-coded trait a data frame with names of entities (E) and names of species (sp); tr_nb_uval a vector with number of unique values per trait (or combinations for fuzzy-coded traits); max_nb_fe the maximum number of FE possible given number of unique values per trait.

Author(s)

Sebastien Villeger, Nicolas Loiseau, and Camille Magneville

Examples

# Load species traits data:
 data("fruits_traits", package = "mFD")

# Transform species traits data:
# Only keep the first 4 traits to illustrate FEs:
 fruits_traits <- fruits_traits[ , c(1:4)]   

# Load trait types data:
 data("fruits_traits_cat", package = "mFD")

# Transform the trait types data to only keep traits 1 - 4:
 fruits_traits_cat <- fruits_traits_cat[c(1:4), ]

# Gather species into FEs:
## gathering species into FEs (FEs named according to the decreasing...
## ...  number of species they gather):
 sp_FEs <- mFD::sp.to.fe(
      sp_tr      = fruits_traits, 
      tr_cat     = fruits_traits_cat, 
      fe_nm_type = "fe_rank")

## display FEs names:
sp_FEs$fe_nm

## display for each species the name of the FE it belongs to:
sp_FEs$sp_fe

## display trait values for each FE:
sp_FEs$fe_tr
 
## display the number of species per FEs:
sp_FEs$fe_nb_sp

mFD documentation built on May 29, 2024, 7:25 a.m.