grofit (version 1.1.1-1)

summary.gcFit: Generic summary function for gcFit object

Description

Generic summary function for gcFit object.

Usage

"summary"(object, ...)

Arguments

object

Object of class gcFit.

...

Additional arguments. This has currently no effect and is only meant to fulfill the requirements of a generic function.

Value

data.frame

1. column: character, naming the experiment for which a dose-response curve shall be estimated; 2. column: character, additional information about the experiment; 3. column: numeric, concentration of substrate; 4. column: logical, reliability flag, 5. column: character, naming a parametric model, 6. column: logical, indicating wether a logarithmic transformation was applied to the time points of the growth data; 7. column: logical, indicating wether a logarithmic transformation was applied to the growth values of the growth data; 8. column: number of bootstrap samples used; 9.-12. column: estimates of $\mu$, $\lambda$, $A$ and $integral$ from growth curve fit; 13.-15. column: respecting standard deviation for $\mu$, $\lambda$, $A$; 16.-21. column: 90 percent confidence intervals for$\mu$, $\lambda$, $A$ ; 22.-27. column: 95 percent confidence intervals for $\mu$, $\lambda$, $A$; 28.-31. column: estimates of $\mu$, $\lambda$, $A$ and $integral$ from growth curve spline fit; 32.-35. column: mean of $\mu$, $\lambda$, $A$ and $integral$ from bootstrap sample; 36.-39. column: respecting standard deviation; 40.-47. column: 90 percent confidence intervals for $\mu$, $\lambda$, $A$ and $integral$; 48.-55. column: 95 percent confidence intervals for $\mu$, $\lambda$, $A$ and $integral$.

Details

Columns 1.-8. are generated by gcFit; columns 9.-27. are generated by summary.gcFitModel; columns 28.-31. are generated by summary.gcFitSpline; columns 32.-55. are generated by summary.gcBootSpline.

See Also

gcBootSpline, gcFit, gcFitSpline, gcFitModel