show_guess_primary: Plot of the initial guess for growth under constant...

In biogrowth: Modelling of Population Growth

Plot of the initial guess for growth under constant environmental conditions

Description

Compares the prediction corresponding to a guess of the parameters of the primary model against experimental data

Usage

show_guess_primary(
  fit_data,
  model_name,
  guess,
  logbase_mu = 10,
  formula = logN ~ time
)

Arguments

fit_data	Tibble (or data.frame) of data for the fit. It must have two columns, one with the elapsed time (time by default) and another one with the decimal logarithm of the populatoin size (logN by default). Different column names can be defined using the formula argument.
model_name	Character defining the primary growth model as per primary_model_data()
guess	Named vector with the initial guess of the model parameters
logbase_mu	Base of the logarithm the growth rate is referred to. By default, 10 (i.e. log10). See vignette about units for details.
formula	an object of class "formula" describing the x and y variables. logN ~ time as a default.

Value

A ggplot() comparing the model prediction against the data

biogrowth documentation built on May 29, 2024, 4:17 a.m.