plot_data

Plots the provided growth curve (one single growth curve) on logarithmic scale

Microbial growth is often measured by growth curves i.e. a table of population sizes and times of measurements.
This package allows to use such growth curve data to determine the duration of "microbial lag phase" i.e. the time needed for microbes to restart divisions.
It implements the most commonly used methods to calculate the lag duration, these methods are discussed and described in Opalek et.al. 2022.
Citation: Smug, B. J., Opalek, M., Necki, M., & Wloch-Salamon, D. (2024). Microbial lag calculator: A shiny-based application and an R package for calculating the duration of microbial lag phase. Methods in Ecology and Evolution, 15, 301–307 <doi:10.1111/2041-210X.14269>.

Bogna Smug 

miLAG

Calculates Microbial Lag Duration (on the Population Level) from
Provided Growth Curve Data

Bogna Smug

plot_data function

<dl><dt>data_new</dt>
<dd>a data frame with two required columns names: "time" and "biomass"</dd>
<dt>log10_transform</dt>
<dd>if to plot y axis (biomass) on log10 scale</dd></dl>

Arguments

plot_data — plot_data

<dl>

<dt>data_new</dt>
<dd>a data frame with two required columns names: "time" and "biomass"</dd>


<dt>log10_transform</dt>
<dd>if to plot y axis (biomass) on log10 scale</dd>

</dl>

plot_data: plot_data

Description

Usage

Value

Arguments