vector: time points for which log(OD) must be
computed
mu
scalar: maximal growth rate parameter
l
scalar: time lag parameter
z0
scalar: minimal log(OD) parameter
zmax
scalar: maximal log(OD) parameter
Details
Rosso model is z0 if x<=l zmax - log( 1 + (exp(zmax-z0)
-1)*exp(-mu*(x-l) ) ) otherwise
Value
vector: log(OD) for the time points given in x
Author(s)
Julien Gagneur
Examples
x = 1:1000
y = rosso(x, mu=0.01, l=200, z0=1, zmax=5)
plot(x,y)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(cellGrowth)
Loading required package: locfit
locfit 1.5-9.1 2013-03-22
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/cellGrowth/rosso.Rd_%03d_medium.png", width=480, height=480)
> ### Name: rosso
> ### Title: Rosso growth model
> ### Aliases: rosso
>
> ### ** Examples
>
> x = 1:1000
> y = rosso(x, mu=0.01, l=200, z0=1, zmax=5)
> plot(x,y)
>
>
>
>
>
> dev.off()
null device
1
>