pred_gaussian: Gaussian predictor function (extracted from Angilletta 2006).

In ggcostoya/momentum:

Description

Gaussian predictor function (extracted from Angilletta 2006).

Usage

pred_gaussian(x, s, a, b)

Arguments

x	A vector of values.
s	Scaling parameter.
a	Function prameter (roughly representing mean).
b	Function parameter (roughly representing sd).

Value

A vector of predicted values.

Examples

tseq <- seq(0,100,by=0.1) # Mock temperature se
tpd <- gen_base(25, 4, 2, -0.25, 0.15, 10, 0.5, 27, 20) # Generate data

# Predictor functions
gauss <- pred_gaussian(tseq,9.313,24.215,3.421) # Gaussian predictor function
emg <- pred_emg(tseq,18.2635,24.113,3.56350,0.09797)
weibull <- pred_weibull(tseq, 9.665, 24.66, 18330.366, 6362.136)

#Plotting
plot(tpd,pch=19)
lines(tseq,emg, type = "l", lwd = 2, col = "grey")
lines(tseq, weibull, type = "l", lwd = 1, col = "grey")
lines(tseq,gauss,type="l", lwd = 2, col = "black")

ggcostoya/momentum documentation built on Feb. 14, 2021, 6:12 p.m.