traitstrap (version 0.1.0)

trait_summarise_boot_moments: Summarise Bootstrap traits

Description

Summarizes the mean and confidence interval for each trait moment.

Usage

trait_summarise_boot_moments(
  bootstrap_moments,
  parametric = TRUE,
  sd_mult = 1,
  ci = 0.95
)

Value

tibble with the grouping variables and the mean of each moment (+/- sd_mult * SD)

Arguments

bootstrap_moments

trait moments from trait_np_bootstrap or trait_parametric_bootstrap

parametric

logical; default is TRUE. Should Confidence Intervals be calculated parametrically (using the mean and SD) or nonparametrically (using quantiles).

sd_mult

Number of standard deviations around each moment, defaults to one

ci

Desired confidence level for use when parametric is false. Defaults to 0.95.

Examples

library(dplyr)
data(community)
data(trait)

# Filter community data to make example faster
community <- community |>
  filter(PlotID %in% c("A", "B"))

filled_traits <- trait_fill(
  comm = community,
  traits = trait,
  scale_hierarchy = c("Site", "PlotID"),
  taxon_col = "Taxon", value_col = "Value",
  trait_col = "Trait", abundance_col = "Cover"
)

# Note that more replicates and a greater sample size are advisable
# Here we set them low to make the example run quickly
boot_traits <- trait_np_bootstrap(filled_traits,
  nrep = 20,
  sample_size = 100
)

trait_summarise_boot_moments(boot_traits)