make_trait_table: Prepare data to do estimation with traits in...

In hellometry: Biomass Estimation from Allometric Relationships

Prepare data to do estimation with traits in full_estimation_table

Description

Remove columns with taxonomy, and replace them with trait-based groupings

Usage

make_trait_table(measurement_table, trait_columns, id_col = "species")

Arguments

measurement_table	A table with the numerical measurements and biomass used to compute allometric lms
trait_columns	List of traits to match, should be column names in measurement_table
id_col	Name of the column holding a unique identifier per species/taxon. Default "species".

Value

List of tibbles, one per trait grouping, each carrying the measurements of the species sharing that grouping's traits

Examples

# Fuzzy traits of three species, sp_a and sp_b within +/- 1 of each other
measurement_table <-
  data.frame(species = rep(c("sp_a", "sp_b", "sp_c"), each = 4),
             stage = "larva",
             size_col = c(1, 2, 3, 4, 1.2, 2.1, 3.3, 4.2, 8, 9, 10, 11),
             biomass_col = c(0.1, 0.4, 1, 2, 0.2, 0.5, 1.1, 2.2, 12, 15, 20, 26),
             AS1 = rep(c(1, 2, 5), each = 4),
             AS2 = rep(c(3, 3, 9), each = 4))

# The measurements of the species sharing each trait grouping
make_trait_table(measurement_table, trait_columns = c("AS1", "AS2"))

hellometry documentation built on Nov. 11, 2026, 5:06 p.m.