logis.don: Logistic growth of bacteria
In nlsrk: Runge-Kutta Solver for Function nls()
Description
Usage
Format
Details
Source
Examples
Description
Logistic growth in bacteria : time versus Optical Density in arbitrary units (simulated data)
Usage
1
Format
A data frame with 51 observations on the following 2 variables.
timea numeric vector : time in hours
ya numeric vector : Optical Density
Details
a dataset suitable to run nls and fit a logistic model, eventually under the form of a differential equation
Source
personnal source J.S. Pierre
Examples
1
2
nlsrk documentation built on May 1, 2019, 8:48 p.m.
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Description Usage Format Details Source Examples
Description
Logistic growth in bacteria : time versus Optical Density in arbitrary units (simulated data)
Usage
1 |
Format
A data frame with 51 observations on the following 2 variables.
timea numeric vector : time in hours
ya numeric vector : Optical Density
Details
a dataset suitable to run nls and fit a logistic model, eventually under the form of a differential equation
Source
personnal source J.S. Pierre
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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