cv29_mic_ppu {CleaningValidation}

Calculate Mic Ppu with Five Methods

Description

This function calculates the process performance index (Ppu) for Mic using five different methods, including Q-Binomial, Q-Poisson, Anscombe, Freeman, and KDE. It returns a dataframe with the Ppu values, lower and upper confidence intervals for each method, and appends a row for the method with the minimum Ppu value.

Usage

cv29_mic_ppu(data, residue_col, cleaning_event_col, usl_col)

Arguments

data

A dataframe containing the dataset.

residue_col

The name of the column in 'data' that contains the residue values.

cleaning_event_col

The name of the column in 'data' that contains the cleaning event identifiers.

usl_col

The name of the column in 'data' that contains the Upper Specification Limit values.

Value

A dataframe with the Ppu calculations for each method and the minimum Ppu method.

Author(s)

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

Examples

  MicPPU <- cv29_mic_ppu(Eq_Mic, "Mic", "CleaningEvent", "USL")