cut_the_data

cut_the_data
Subsets the data frame containing only the observations up to the specified maximum time

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

cut_the_data function

<dl><dt>data</dt>
<dd>a data frame with two required columns names: "time" and "biomass",and one optional column: "curve_id"
This is data from may come from multiple growth curves</dd>
<dt>max_time</dt>
<dd>max. time at which we want to cut the growth curve data</dd></dl>

Arguments

cut_the_data
Subsets the data frame containing only the observations up to the specified maximum time — cut_the_data

<dl>

<dt>data</dt>
<dd>a data frame with two required columns names: "time" and "biomass",and one optional column: "curve_id"
This is data from may come from multiple growth curves</dd>


<dt>max_time</dt>
<dd>max. time at which we want to cut the growth curve data</dd>

</dl>

cut_the_data: cut_the_data Subsets the data frame containing only the observations up to the specified maximum time

Description

Usage

Value

Arguments