cv11_vca_by_median: Variability Components Analysis by Median with Bootstrap

In CleaningValidation: Cleaning Validation Functions for Pharmaceutical Cleaning Process

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)

CleaningValidation documentation built on May 29, 2024, 2:13 a.m.