Ben_sim: Simulation to address Ben Sheldon's comments

In LiamDBailey/baileyetal2021: Bird populations most exposed to climate change are less sensitive to climatic variation

Description

This function will create one possible simulated relationship between sensitivity and exposure

Usage

Ben_sim(
  interpop_var,
  avg_sensitivity,
  sd_sensitivity,
  resid_sense,
  avg_exposure,
  sd_exposure,
  resid_exp,
  return = "plot"
)

Arguments

interpop_var	The inter-population variation in the error of temperature (basically causes populations to vary in the interannual variability in temp, as Ben suggested)
avg_sensitivity	The beta of sensitivity (laying date ~ temperature)
sd_sensitivity	The sd of the random slope term for laying date ~ temperature across pops
resid_sense	The residual error in sensitivity (laying date ~ temperature)
avg_exposure	The beta of exposure (temperature ~ year)
sd_exposure	The sd of the random slope term for exposure (temperature ~ year) across pops
resid_exp	The residual error in exposure (temperature ~ year)
return	Should the function return a plot ("plot") or the Pearson's correlation of sensitivity and exposure ("cor").

Value

Either a ggplot object ('plot') or numeric value representing the Pearson's correlation between sensitivity and exposure.

LiamDBailey/baileyetal2021 documentation built on Feb. 10, 2022, 12:34 a.m.