Package: XRSCC 0.1
XRSCC: Statistical Quality Control Simulation
This is a set of statistical quality control functions, that allows plotting control charts and its iterations, process capability for variable and attribute control, highlighting the xrs_gr() function, like a first iteration for variable chart, meanwhile the we_rules() function detects non random patterns in sample.
Authors:
XRSCC_0.1.tar.gz
XRSCC_0.1.zip(r-4.5)XRSCC_0.1.zip(r-4.4)XRSCC_0.1.zip(r-4.3)
XRSCC_0.1.tgz(r-4.4-any)XRSCC_0.1.tgz(r-4.3-any)
XRSCC_0.1.tar.gz(r-4.5-noble)XRSCC_0.1.tar.gz(r-4.4-noble)
XRSCC_0.1.tgz(r-4.4-emscripten)XRSCC_0.1.tgz(r-4.3-emscripten)
XRSCC.pdf |XRSCC.html✨
XRSCC/json (API)
# Install 'XRSCC' in R: |
install.packages('XRSCC', repos = c('https://ericksuhel.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:1168bbac5d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | OK | Nov 13 2024 |
R-4.5-linux | OK | Nov 13 2024 |
R-4.4-win | OK | Nov 13 2024 |
R-4.4-mac | OK | Nov 13 2024 |
R-4.3-win | OK | Nov 13 2024 |
R-4.3-mac | OK | Nov 13 2024 |
Exports:Beta.Xc_grC_itCp_Xfactor.anp_grNP_itp_grP_itR_itu_grU_itwe_rulesX_itxrs_gr
Dependencies: