cv26_qpoisson_ppu {CleaningValidation}

Calculate Process Performance Index using Poisson Distribution

Description

This function calculates the Process Performance Index (Ppu) for data assumed to follow a Poisson distribution. It includes a bootstrap method for estimating the confidence interval of the Ppu.

Usage

cv26_qpoisson_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' containing residue counts.

cleaning_event_col

Name of the column in 'data' used to group 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 columns Method, Ppu, CI_Lower, and CI_Upper.

Author(s)

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

Examples

cv26_qpoisson_ppu(Eq_Mic, "Mic", "CleaningEvent", "USL")