boot_one {ThermalSampleR} | R Documentation |
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)
[Package ThermalSampleR version 0.1.2 Index]