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:
CC_1.0.tar.gz
CC_1.0.zip(r-4.5)CC_1.0.zip(r-4.4)CC_1.0.zip(r-4.3)
CC_1.0.tgz(r-4.4-any)CC_1.0.tgz(r-4.3-any)
CC_1.0.tar.gz(r-4.5-noble)CC_1.0.tar.gz(r-4.4-noble)
CC_1.0.tgz(r-4.4-emscripten)CC_1.0.tgz(r-4.3-emscripten)
CC.pdf |CC.html✨
CC/json (API)
| # Install 'CC' in R: |
| install.packages('CC', repos = c('https://wjbraun.r-universe.dev', 'https://cloud.r-project.org')) |
- rr - Baseline Heart Rate Summaries
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:4d4106f8d3. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 17 2024 |
| R-4.5-win | OK | Oct 17 2024 |
| R-4.5-linux | OK | Oct 17 2024 |
| R-4.4-win | OK | Oct 17 2024 |
| R-4.4-mac | OK | Oct 17 2024 |
| R-4.3-win | OK | Oct 17 2024 |
| R-4.3-mac | OK | Oct 17 2024 |
Exports:d_2d_3diffrangeLRCCplot.CCRCCrrCCxbarCCxbarRCCxCCxLRCC
Dependencies:
