smooth_data

smooth_data
Smoothens growth curves data

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

smooth_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>smooth_kind</dt>
<dd>kind used for the smooth functions, defaults to "3RS3R"</dd></dl>

Arguments

smooth_data
Smoothens growth curves data — smooth_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>smooth_kind</dt>
<dd>kind used for the smooth functions, defaults to "3RS3R"</dd>

</dl>

smooth_data: smooth_data Smoothens growth curves data

Description

Usage

Value

Arguments