knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
qcc is a package for statistical process control and control charts built based on the
qcc package, with new functions allowing the use of beta control charts.
This package allows the user to:
As the package uses the
qcc package as the basis for building the graphics, all
qcc functions and utilities also work on
bcc. For more informations please consider visiting https://luca-scr.github.io/qcc/.
You can use
bcc in two basic ways:
discrete data representing the sample size using
type = 1;
continuous data without sample size with values in the range between [0.1] using
type = 2; you can make a ratio between the data to be analyzed for example.
data("Montgomery2005") bcc(data=Montgomery2005$Defective, sizes = Montgomery2005$Sample, type=1)
data("Drapper1998data") bcc(data = Drapper1998data, type = "2")
Montgomery, D.C. (2009) Introduction to Statistical Quality Control, 6th ed. New York: John Wiley & Sons.
Scrucca, L. (2004) qcc: an R package for quality control charting and statistical process control. R News 4/1, 11-17.
SANT'ANNA, Ângelo M. O; CATEN, Carla Schwengber ten. Beta control charts forsave monitoring fraction data. Expert Systems With Applications, p. 10236-10243. 1 set. 2012.
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