dRGetMetrics: Life traits from Thermal Performance Curve

In devRate: Quantify the Relationship Between Development Rate and Temperature in Ectotherms

Life traits from Thermal Performance Curve

Description

Compute life traits from a Thermal Performance Curve

Usage

dRGetMetrics(
  nlsDR,
  prec = 0.1,
  lowTempLim = 0,
  highTempLimit = 60,
  devLimit = 0.01,
  printOut = FALSE
)

Arguments

nlsDR	The object obtained from the devRateModel function.
prec	The precision for the temperature (default = 0.1 degree celsius).
lowTempLim	The minimum temperature for the metrics (default = 0 degree celsius).
highTempLimit	The maximum temperature for the metrics (default = +60 degree celsius).
devLimit	The development rate considered as null (default = 0.01).
printOut	A logical to print the result (default = FALSE).

Value

A matrix with one column and one row for each metric. The metrics names are the row names.

Examples

rawDevEggs <- matrix(
   c(10, 0.031, 10, 0.039, 15, 0.047, 15, 0.059, 15.5,
   0.066, 13, 0.072, 16, 0.083, 16, 0.100, 17, 0.100, 20, 0.100, 20,
   0.143, 25, 0.171, 25, 0.200, 30, 0.200, 30, 0.180, 35, 0.001
), ncol = 2, byrow = TRUE)
mEggs <- devRateModel(
   eq = taylor_81,
   temp = rawDevEggs[,1],
   devRate = rawDevEggs[,2],
   startValues = list(Rm = 0.05, Tm = 30, To = 5)
)
myMetrics <- dRGetMetrics(nlsDR = mEggs, printOut = TRUE)

devRate documentation built on Aug. 24, 2023, 9:07 a.m.