show_guess_dynamic {biogrowth}

Plot of the initial guess for growth under dynamic environmental conditions

Description

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

Usage

show_guess_dynamic(
  fit_data,
  model_keys,
  guess,
  env_conditions,
  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_keys

Named the equations of the secondary model as in fit_growth()

guess

Named vector with the initial guess of the model parameters as in fit_growth()

env_conditions

Tibble describing the variation of the environmental conditions for dynamic experiments. See fit_growth().

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