resp.surface.fit: resp.surface.fit

In ItziarIA/ACESO: A Cancer Evolution Simulation Optimizer

Description

Fits a generalized additive model (gam) or a polynomial surface (loess) to data.

Usage

resp.surface.fit(data, resp = "Birth_rate", conc1 = "CONC",
  conc2 = "CONC2", Drug1.name = "Drug 1", Drug2.name = "Drug 2",
  method = c("gam", "loess"))

Arguments

data	Concentration-effect dataframe.
resp	Name of the column with the response values. Default is Birth_rate.
conc1	Name of the column with the concentration values for drug 1.
conc2	Name of the column with the concentration values for drug 2.
Drug1.name	string to specify the name of drug 1.
Drug2.name	string to specify the name of drug 2.
method	array to specify if a generalized additive model (gam) or a polynomial surface (loess) model must be fitted to the data.

Value

This function returns a fitted gam object (see gamObject for a detailed description) or an object of class "loess".

Examples

## Not run: 
data(Dactolisib_Trametinib_rates)
gam.model=resp.surface.fit(GD,resp='Birth_rate',conc1='CONC',conc2='CONC2')
print(gam.model)

## End(Not run)

ItziarIA/ACESO documentation built on June 2, 2021, 5:09 p.m.