trait_summarise_boot_moments: Summarise Bootstrap traits

In richardjtelford/traitstrap: Bootstrap Trait Values to Calculate 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
)

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.

Value

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

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)

richardjtelford/traitstrap documentation built on July 3, 2024, 1:46 a.m.