Skip to contents

Create Cubic Model

Source: R/dilstats.R
create_cubic_model.Rd

A wrapper to create a cubic model for curve data.

Usage

create_cubic_model(
  curve_data,
  conc_var,
  signal_var,
  dilution_data = lifecycle::deprecated()
)

Arguments

curve_data

A data frame or tibble containing curve data.

conc_var

Column name in curve_data to indicate concentration.

signal_var

Column name in curve_data to indicate signal.

dilution_data

[Deprecated] dilution_data was renamed to curve_data.

Value

A linear model object from stats:lm() with formula signal_var ~ conc_var + I(conc_var * conc_var * conc_var)

from data diltuion_data.

Examples

concentration <- c(10, 20, 40, 60, 80, 100)

signal <- c(22561, 31178, 39981, 48390, 52171, 53410)

curve_data <- data.frame(Concentration = concentration,
                         Signal = signal)

cubic_model <- create_cubic_model(
  curve_data,
  "Concentration",
  "Signal"
)

cubic_model
#> 
#> Call:
#> stats::lm(formula = cubic_formula, data = curve_data)
#> 
#> Coefficients:
#>                                      (Intercept)  
#>                                        1.502e+04  
#>                                    Concentration  
#>                                        8.659e+02  
#>                 I(Concentration * Concentration)  
#>                                       -5.910e+00  
#> I(Concentration * Concentration * Concentration)  
#>                                        1.096e-02  
#>