drBootSpline: Function to create a bootstrap sample of splines fitted to dose-response curves.

Description

The function passes the numeric vectors conc and test to the function drFitSpline, which fits a smoothed spline to the data and estimates the EC50. Calling drFitSpline several times (specified by the options set in control) creates a bootstrap sample in form of a list of objects of class drFitSpline.

Usage

drBootSpline(conc, test, drID = "undefined",  control = grofit.control())

Arguments

conc

Numeric vector, containing concentration information for dose-response. curve fit and EC50 estimation.

test

Numeric vector, containing response values related to concentrations.

drID

Character, identifying the dose-response data.

control

Object of class grofit.control containing a list of options generated by the function grofit.control.

Value

raw.conc: Raw data given to the function; equivalent to conc.
raw.test: Raw data given to the function; equivalent to test.
drID: String identifier given to the function; equivalent to drID.
boot.conc: Table of concentration values per column, resulting from each spline fit of the bootstrap.
boot.test: Table of response values per column, resulting from each spline fit of the bootstrap.
boot.drSpline: List containing all drFitSpline objects generated by the call of drFitSpline.
ec50.boot: Vector of estimated EC50 values from each bootstrap entry.
bootFlag: Logical, indicating an empty bootstrap sample.
control: Object of class grofit.control containing list of options passed to the function as control.

Examples

Run this code

x <- 1:50
y <- 30/(1+exp(-0.5*(25-x)))+rnorm(50)
TestRun <- drBootSpline(x,y,"ID",grofit.control(nboot.dr=50))
print(summary(TestRun))
plot(TestRun)

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