gcFitSpline: Function to fit smoothed splines to growth data.

In grofit: The package was developed to fit fit many growth curves obtained under different conditions.

Description

The function fits a smoothed spline to a set of growth data.

Usage

gcFitSpline(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	Vector (of any length) identifying the growth curve data.
fit.time	Vector of fitted concentration values.
fit.data	Vector of fitted growth values.
parameters	List of estimated growth values from spline fit: A, maximum growth value; mu, maximum slope; lambda, lag-phase, integral, integral under growth curve.
parametersLowess	List of estimated growth values from lowess fit: A, maximum growth value; mu, maximum slope; lambda, lag-phase.
spline	smooth.spline object generated by smooth.spline.
reliable	Logical, indicating wether the provided data is reliable (to be set manually).
fitFlag	Logical, indicating wether a spline could fitted successfully to data.
control	Object of class grofit.control containing list of options passed to the function as control.

See Also

gcFitModel, gcBootSpline , summary.gcFitSpline, plot.gcFitSpline

Examples

x <- 1:30
y <- 1/(1+exp(0.5*(15-x)))+rnorm(30)/20
TestRun <- gcFitSpline(x,y)
print(summary(TestRun))
plot(TestRun)

Example output

  mu.spline lambda.spline A.spline integral.spline
1  0.126682      10.66933 1.065409        15.58081

grofit documentation built on May 30, 2017, 4:08 a.m.