cv25_qbinom_ppu {CleaningValidation}

Binomial Process Performance Calculation

Description

Performs a process performance calculation using binomial distribution. This includes a bootstrap procedure to estimate the confidence interval of the Process Performance Index (Ppu).

Usage

cv25_qbinom_ppu(data, residue_col, cleaning_event_col, usl_col)

Arguments

data

A data frame containing the dataset.

residue_col

Name of the column in 'data' that contains the residue or defect counts.

cleaning_event_col

Name of the column in 'data' that groups data by cleaning event.

usl_col

Name of the column in 'data' that contains the Upper Specification Limit (USL) for each group.

Value

A data frame with the calculated Ppu and its 95 along with the method used ("Q-Binomial").

Author(s)

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

Examples

# Assuming `data` is the dataframe with columns "Residue", "CleaningEvent", and "USL":
cv25_qbinom_ppu(Eq_Mic, "Mic", "CleaningEvent", "USL")