gcBootSpline: Function to generate a bootstrap sample from a dataset of growth data.

Description

Bootstrapping of a growth curve.

Usage

gcBootSpline(time, data, gcID = "undefined", control = grofit.control())

Arguments

time

Numeric vector containing the data for x-axes.

data

Numeric vector giving the growth values belonging to each element of time.

gcID

Vector (of any length) identifying the growth curve data.

control

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

Value

raw.time: Raw data given to the function; equivalent to time.
raw.data: Raw data given to the function; equivalent to data.
gcID: Identifier, given to the function as gcID.
boot.time: Table of concentration values per column, resulting from each spline fit of the bootstrap.
boot.data: Table of response values per column, resulting from each spline fit of the bootstrap.
boot.gcSpline: List containing all gcFitSpline objects generated by the call of gcFitSpline.
lambda: Vector containing all the estimates from the bootstrap sample for the lag-phase.
mu: Vector containing all the estimates from the bootstrap sample for the maximum slope.
A: Vector containing all the estimates from the bootstrap sample for the maximum growth value.
integral: Vector containing all the estimates from the bootstrap sample for the integral.
bootFlag: Logical, indicating an empty bootstrap sample.
control: Object of class grofit.control containing list of options passed to the function as control.

Details

A bootstrap sample (with replacement) is generated from the original data. For each of the bootstrap samples, the characteristic parameters $\lambda$, $\mu$, $A$ and integral are estimated.

Examples

Run this code

x <- 1:30
y <- 1/(1+exp(0.5*(15-x)))+rnorm(30)/20
TestRun <- gcBootSpline(x,y,"ID",grofit.control(nboot.gc=50))
print(summary(TestRun))
plot(TestRun)

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