cv24_vca_mic {CleaningValidation}

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")