Package: CC 1.0

CC: Control Charts

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.

Authors:W.J. Braun

CC_1.0.tar.gz
CC_1.0.zip(r-4.7-any)CC_1.0.zip(r-4.6-any)CC_1.0.zip(r-4.5-any)
CC_1.0.tgz(r-4.6-any)CC_1.0.tgz(r-4.5-any)
CC_1.0.tar.gz(r-4.7-any)CC_1.0.tar.gz(r-4.6-any)
CC_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
CC/json (API)

# Install 'CC' in R:
install.packages('CC', repos = c('https://wjbraun.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • rr - Baseline Heart Rate Summaries

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.60 score 394 scripts 213 downloads 136 mentions 11 exports 0 dependencies

Last updated from:4d4106f8d3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK136
linux-release-x86_64OK97
macos-release-arm64OK92
macos-oldrel-arm64OK68
windows-develOK56
windows-releaseOK75
windows-oldrelOK67
wasm-releaseOK82

Exports:d_2d_3diffrangeLRCCplot.CCRCCrrCCxbarCCxbarRCCxCCxLRCC

Dependencies: