Package: XRSCC 0.2

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.zip(r-4.7-any)XRSCC_0.2.zip(r-4.6-any)XRSCC_0.2.zip(r-4.5-any)
XRSCC_0.2.tgz(r-4.6-any)XRSCC_0.2.tgz(r-4.5-any)
XRSCC_0.2.tar.gz(r-4.7-any)XRSCC_0.2.tar.gz(r-4.6-any)
XRSCC_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
XRSCC/json (API)

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

On CRAN:

Conda:

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 233 downloads 15 exports 0 dependencies

Last updated from:201b3b7639. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK182
linux-release-x86_64OK96
macos-release-arm64OK161
macos-oldrel-arm64OK121
windows-develOK62
windows-releaseOK61
windows-oldrelOK60
wasm-releaseOK81

Exports:Beta.Xc_grC_itCp_Xfactor.anp_grNP_itp_grP_itR_itu_grU_itwe_rulesX_itxrs_gr

Dependencies: