Package: XRSCC 0.2

Erick Marroquin

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:Erick Marroquin [aut, cre]

XRSCC_0.2.tar.gz
XRSCC_0.2.tar.gz(r-4.5-noble)XRSCC_0.2.tar.gz(r-4.4-noble)
XRSCC_0.2.tgz(r-4.4-emscripten)XRSCC_0.2.tgz(r-4.3-emscripten)
XRSCC.pdf |XRSCC.html✨
XRSCC/json (API)

# Install 'XRSCC' in R:
install.packages('XRSCC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • bottles - Defetive bottles sample
  • clothes - Defective number per sample
  • clothes2 - Defective number per unit
  • dato2 - The piston hole length in mm
  • factor.a - Table: Factor for variable control charts
  • qqsugar - Sugar bags weights in pounds
  • udata2 - Defective number per unit
  • vol_sample - Volume in ml

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

1.34 score 22 scripts 111 downloads 15 exports 0 dependencies

Last updated 20 days agofrom:201b3b7639. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-linuxOKDec 07 2024

Exports:Beta.Xc_grC_itCp_Xfactor.anp_grNP_itp_grP_itR_itu_grU_itwe_rulesX_itxrs_gr

Dependencies: