cv17_cusum {CleaningValidation}

Create a CUSUM Chart for Poisson-distributed Data

Description

This function computes the cumulative sum (CUSUM) for the mean values of a specified residue column aggregated by a cleaning event column. It then generates a CUSUM chart for visualizing the stability of a process based on a Poisson distribution. The reference value 'k' can be provided; if not, it defaults to half of the process average lambda.

Usage

cv17_cusum(data, residue_col, cleaning_event_col, k = NULL)

Arguments

data

A data frame containing the dataset for analysis.

residue_col

The name of the column representing residue data.

cleaning_event_col

The name of the column representing cleaning events.

k

The reference value used in calculating CUSUM, by default it is set to half of lambda.

Value

A ggplot object representing the CUSUM chart.

Author(s)

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

Examples

# To create a CUSUM chart with default k value
cv17_cusum(data = Eq_Mic, residue_col = "Mic", cleaning_event_col = "CleaningEvent")

# To create a CUSUM chart with a specified k value
cv17_cusum(data = Eq_Mic, residue_col = "Mic", cleaning_event_col = "CleaningEvent", k = 0.75)