get.gr.lagsat: Extract exponential growth rate assuming lagged exponential...
In ctkremer/growthTools: Tools for analyzing time series of microbial abundances to estimate growth rates
Description
Usage
Arguments
Value
Description
This function fits a smoothed piecewise linear model to ln(abundance) data, with
the assumption that abundances are nearly constant for several time points, before
exponential growth kicks in; subsequently, growth saturates and abundances become
constant again.
Usage
1
get.gr.lagsat(x, y, plotQ = F, fpath = NA, id = "")
Arguments
x
Time steps
y
ln(abundance)
plotQ
logical; should the fit be plotted?
fpath
character; path specifying where plot should be saved, if generated
id
Label corresponding to the population/strain/species of interest
Value
This function returns a nonlinear least-squares regression model
ctkremer/growthTools documentation built on July 27, 2021, 4:19 p.m.
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Description Usage Arguments Value
Description
This function fits a smoothed piecewise linear model to ln(abundance) data, with the assumption that abundances are nearly constant for several time points, before exponential growth kicks in; subsequently, growth saturates and abundances become constant again.
Usage
1 | get.gr.lagsat(x, y, plotQ = F, fpath = NA, id = "")
|
Arguments
x |
Time steps |
y |
ln(abundance) |
plotQ |
logical; should the fit be plotted? |
fpath |
character; path specifying where plot should be saved, if generated |
id |
Label corresponding to the population/strain/species of interest |
Value
This function returns a nonlinear least-squares regression model
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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