estimate_growth_rate: Fit input data to a logistic growth function
In JSHuisman/conjugator: Estimate Plasmid Conjugation Rates

Description Usage Arguments Details Value See Also Examples

estimate_growth_rate fits the input OD data to a logistic growth function. It differs from growthcurver by fitting the logged data and function. It can also subtract an estimated value for blank wells (taking the minimum across all readings), and takes into account measurements only after t_start.

estimate_growth_rate(
  OD_data,
  t_start = 0,
  t_col = "time",
  blank_tf = T,
  verbose = T
)

`OD_data`	Dataframe of OD data. Expects a column for the time (t_col), and will interpret all other columns as OD data for different samples (identified by their column name).
`t_start`	Earliest possible time point from which to start the fit.
`t_col`	Name of the time column (defaults to 'time').
`blank_tf`	Boolean. Should a blank value be subtracted?
`verbose`	Boolean. Should warnings be returned?

*Note*: this function is not as thoroughly tested as those to estimate conjugation rates, and is primarily included for convenience. We generally recommend using a dedicated package to estimate growth rates.

Dataframe of estimated growth parameters. Contains columns name, carrying_cap, growth_rate, N0, t_min and t_stat.

Other growth rate functions: .logist(), get_growth_fit_for_plot()