cv24_vca_mic {CleaningValidation} | R Documentation |
Variance Component Analysis for Microbial Counts
Description
This function performs a variance component analysis using a mixed-effects model with a Poisson distribution to estimate within-group and between-group variance for microbial counts data. Assumes data is grouped by cleaning events and evaluates the residue or microbial counts within these groups.
Usage
cv24_vca_mic(data, residue_col, cleaning_event_col)
Arguments
data |
A data frame containing the dataset. |
residue_col |
The name of the column in 'data' that contains the residue or microbial counts. |
cleaning_event_col |
The name of the column in 'data' that contains the grouping factor for cleaning events. |
Value
A data frame summarizing the variance components, including within-group variance, between-group variance, and total variance, along with their percentages and standard deviations.
Author(s)
Chan, Mohamed, Lou, Wendy, Yang, Xiande [xiande.yang at gmail.com]
Examples
# Assuming `Eq_Mic` is your dataframe, `Mic` is the microbial counts column,
# and `CleaningEvent` is the cleaning event column:
cv24_vca_mic(Eq_Mic, "Mic", "CleaningEvent")
[Package CleaningValidation version 1.0 Index]