plot.pbcc: Plot function for Percentile-based Control Charts

In pbcc: Percentile-Based Control Chart

Plot function for Percentile-based Control Charts

Description

Plot function for the Package of Percentile-based Control Charts (pbcc)

Usage

## S3 method for class 'pbcc'
plot(x, title,...)

Arguments

x	an object of class 'pbcc'.
title	title of the plot
...	other graphical parameters.

Value

No return value, called for side effects

Author(s)

Aamir Saghir, Zsolt T. Kosztyan*

e-mail: [e-mail]

References

Faraz, A., Saniga, E., Montgomery, D. (2019). Perentile-based control chart design with an application to Shewhart Xbar and S2 control charts. Quality and Reliability Engineering International, 35(1),116-126.

See Also

pbcc, odpbc, summary.

Examples

library(qcc)
data(pistonrings)
diameter = with(pistonrings, qcc.groups(diameter, sample))
T1=100      # Set the process in-control time to signal is at least 100 samples.
p1=0.05     # Set the probability of guaranteed in-control signals is 5%.

#Calculation of two-sided individual percentile-based Xbar for diameter data.
Q11<- pbcc(diameter,T1, p1, type="Xbar")
# Plot two-sided individual percentile-based Xbar for diameter data.
plot(Q11)

# Calculation of One-sided individual percentile-based S2  for diameter data.
Q12<- pbcc(diameter,T1, p1, type="S2", sided="one")
# # Plot one-sided individual percentile-based S2 for diameter data.
plot(Q12)

# Calculation of two-sided joint percentile-based Xbar and S  for diameter data.
Q13<- pbcc(diameter,T1, p1, type="Xbar-S", sided="two")
# Plot two-sided joint percentile-based Xbar-S control chart for diameter data.
plot(Q13)

pbcc documentation built on April 3, 2025, 10:06 p.m.