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CC
View on CRAN: Click
here
Download and install CC package within the R console
Install from CRAN:
install.packages("CC")
Install from Github:
library("remotes")
install_github("cran/CC") Install by package version:
library("remotes")
install_version("CC", "1.0") Attach the package and use:
library("CC")
Maintained by
W.John Braun
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-27
Latest Update: 2019-08-27
Description:
Tools for creating and visualizing statistical process control charts. Control charts are used for monitoring measurement processes, such as those occurring in manufacturing. The objective is to monitor the history of such processes and flag outlying measurements: out-of-control signals. Montgomery, D. (2009, ISBN:978-0-470-16992-6) contains an extensive discussion of the methodology.
How to cite:
W.John Braun (2019). CC: Control Charts. R package version 1.0, https://cran.r-project.org/web/packages/CC. Accessed 08 Aug. 2026.
Previous versions and publish date:
No previous versions
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Other R packages that CC depends,
imports, suggests or enhances
Complete documentation for CC
Functions, R codes and Examples using
the CC R package
Some associated functions: LRCC . RCC . d_2 . d_3 . diffrange . plot.CC . rr . rrCC . xCC . xLRCC . xbarCC . xbarRCC .
Some associated R codes: LRCC.R . RCC.R . d_2.R . d_3.R . diffrange.R . plot.CC.R . rrCC.R . xCC.R . xLRCC.R . xbarCC.R . xbarRCC.R . Full CC package functions and examples
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