grofit (version 1.1.1-1)

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

Generates an object of class drBootSpline

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.

See Also

drFitSpline, summary.drBootSpline, plot.drBootSpline

Examples

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)