curve.fit: curve.fit

In Michorlab/ACESO: A Cancer Evolution Simulation Optimizer

Description

A general model fitting function for single drug effects using drm from the drc package.

Usage

curve.fit(data, resp = "Birth_rate", conc = "CONC",
  fct = drc::LL.4(), ...)

Arguments

data	Concentration-effect dataframe.
resp	Name of the column with the response values. Default is "Birth_rate".
conc	Name of the column with the drug concentration values. Default to "CONC".
fct	nonlinear function. Currently available functions can be found in drc package (use getMeanFunctions for a full list). By default the four-parameter log-logistic model LL.4 is used. More examples include the three- and five-parameter log-logistic models LL.3, LL.5,the Weibull model W1.4, etc.
...	Additional arguments for the model fitting function. See drmfor more info.

Value

This function returns the results of the model fitting function

Examples

## Not run: 
data(AU565_dataset) 
#Fit the data with a 4 parameter log-logistic function:
curve.fit(AU565_dataset,resp="Viable.cells",conc="CONC",fct=drc::LL.4())

## End(Not run)

Michorlab/ACESO documentation built on June 4, 2021, 4:57 p.m.