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 402 scripts 335 downloads 136 mentions 11 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK87
source / vignettesOK116
linux-releaseOK127
macos-releaseOK94
macos-oldrelOK103
windows-develOK45
windows-releaseOK48
windows-oldrelOK46
wasm-releaseOK80

Exports:d_2d_3diffrangeLRCCplot.CCRCCrrCCxbarCCxbarRCCxCCxLRCC

Dependencies: