Glogist: Generalised Logistic growth curve model
In qfa: Tools for Quantitative Fitness Analysis (QFA) of Arrayed Microbial Cultures Growing on Solid Agar Surfaces
Description
Calculates the Generalised Logistic Model (http://en.wikipedia.org/wiki/Generalised_logistic_function) version of culture doubling time as a function of time t.
Usage
1
Arguments
K
Culture carrying capacity (AU). Same units as (normalised) cell density observed in growth curve.
r
Culture growth rate parameter (per day).
g
Inoculum denisty (AU). Same units as (normalised) cell density observed in growth curve.
v
Shape parameter. Recover logistic model with v = 1.
t
Time since inoculation (d).
qfa documentation built on Feb. 22, 2020, 3:01 a.m.
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Description
Calculates the Generalised Logistic Model (http://en.wikipedia.org/wiki/Generalised_logistic_function) version of culture doubling time as a function of time t.
Usage
1 |
Arguments
K |
Culture carrying capacity (AU). Same units as (normalised) cell density observed in growth curve. |
r |
Culture growth rate parameter (per day). |
g |
Inoculum denisty (AU). Same units as (normalised) cell density observed in growth curve. |
v |
Shape parameter. Recover logistic model with v = 1. |
t |
Time since inoculation (d). |
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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