cv11_vca_by_median {CleaningValidation}

Variability Components Analysis by Median with Bootstrap

Description

Perform Variability Components Analysis (VCA) by median for residue percentages based on cleaning events with bootstrap for confidence intervals.

Usage

cv11_vca_by_median(data, residue_col, cleaning_event_col, n_bootstrap = 2000)

Arguments

data

A data frame containing the data.

residue_col

The name of the column containing residue percentages.

cleaning_event_col

The name of the column containing cleaning event identifiers.

n_bootstrap

The number of bootstrap iterations. Default is 2000.

Value

A data frame summarizing variability components analysis by median along with confidence intervals from bootstrap.

Author(s)

Chan, Mohamed, Lou, Wendy, Yang, Xiande [xiande.yang at gmail.com]

Examples

# Assuming 'Eq_DAR' is the data frame, 'DAR_Pct' is the residue column, 
# and 'CleaningEvent' is the cleaning event column.
Eq_DAR <- cv01_dfclean(data=Eq_DAR, cleaning_event_col="CleaningEvent",
residue_col="DAR", usl_col="USL" ) 
Eq_DAR <- cv03_usl_unification(data=Eq_DAR, cleaning_event_col="CleaningEvent", 
residue_col="DAR", usl_col="USL")
summary <- cv11_vca_by_median(data = Eq_DAR, residue_col = "DAR_Pct", 
cleaning_event_col = "CleaningEvent", n_bootstrap = 2000)