boot_one: Bootstrap sampling to calculate summary statistics of CTL...

In CJMvS/ThermalSampleR: Calculate Sample Sizes Required for Critical Thermal Limits Experiments

Bootstrap sampling to calculate summary statistics of CTL values

Description

Calculate mean and CI's of CTL for a single population

Arguments

data	Data frame contains raw data. Must contain a column with a population identifier (e.g. population ID), and a column containing critical thermal limit data (e.g. temperatures at which critical limits are reached).
groups_col	Factor. Column containing name(s) of population(s) of interest
groups_which	Character. Which population should be analysed?
n_max	Numeric. Maximum sample size to extrapolate simulations.
n_min	Numeric. Minimum sample size to extrapolate simulations. Defaults to 3.
iter	Numeric. Number of bootstrap samples. Defaults to 29.
response	Numeric. Column containing thermal limit data for individual samples

Value

A data frame of CTL summary statistics from bootstrap resamples

Examples

head(coreid_data)
sims <- boot_one(data = coreid_data,
                    groups_col = col,
                    groups_which = "Catorhintha schaffneri_APM",
                    response = response,
                    n_max = 49,
                    iter = 99)

CJMvS/ThermalSampleR documentation built on July 9, 2023, 5:06 a.m.