gaussianmodified_2006: Modified gaussian model for fitting thermal performance...

In padpadpadpad/rTPC: Fitting and Analysing Thermal Performance Curves

Modified gaussian model for fitting thermal performance curves

Description

Modified gaussian model for fitting thermal performance curves

Usage

gaussianmodified_2006(temp, rmax, topt, a, b)

Arguments

temp	temperature in degrees centigrade
rmax	maximum rate at optimum temperature
topt	optimum temperature
a	related to full curve width
b	allows for asymmetry in the curve fit

Details

Equation:

rate = r_{max} \cdot \exp{\bigg[-0.5 \left(\frac{|temp-t_{opt}|}{a}\right)^b\bigg]}

Start values in get_start_vals are derived from the data and gaussian_1987

Limits in get_lower_lims and get_upper_lims are based on extreme values that are unlikely to occur in ecological settings.

Value

a numeric vector of rate values based on the temperatures and parameter values provided to the function

Note

Generally we found this model difficult to fit.

This function was previously called modifiedgaussian_2006() however this is now deprecated and will be removed in the future.

References

Angilletta Jr, M. J. (2006). Estimating and comparing thermal performance curves. Journal of Thermal Biology, 31(7), 541-545.

Examples

# load in ggplot
library(ggplot2)

# subset for the first TPC curve
data('chlorella_tpc')
d <- subset(chlorella_tpc, curve_id == 1)

# get start values and fit model
start_vals <- get_start_vals(d$temp, d$rate, model_name = 'gaussianmodified_2006')
# fit model
mod <- nls.multstart::nls_multstart(rate~gaussianmodified_2006(temp = temp, rmax, topt, a, b),
data = d,
iter = c(3,3,3,3),
start_lower = start_vals - 10,
start_upper = start_vals + 10,
lower = get_lower_lims(d$temp, d$rate, model_name = 'gaussianmodified_2006'),
upper = get_upper_lims(d$temp, d$rate, model_name = 'gaussianmodified_2006'),
supp_errors = 'Y',
convergence_count = FALSE)

# look at model fit
summary(mod)

# get predictions
preds <- data.frame(temp = seq(min(d$temp), max(d$temp), length.out = 100))
preds <- broom::augment(mod, newdata = preds)

# plot
ggplot(preds) +
geom_point(aes(temp, rate), d) +
geom_line(aes(temp, .fitted), col = 'blue') +
theme_bw()

padpadpadpad/rTPC documentation built on Feb. 21, 2025, 5:30 a.m.