r colorize("Novas librerías para o control estatístico da calidade (qcr) e estudos interlaboratorio (ILS) no contorno da Industria 4.0","#1CA666") | r colorize("Statistical quality control using the libraries qcr, ILS and fda.qc","#1CA666") | r colorize("Salvador Naya Fernández | De Galicia a Ecuador. Ida e volta con R.","#1CA666")
Package: ILS 0.2
Miguel Flores
ILS: Interlaboratory Study
It performs interlaboratory studies (ILS) to detect those laboratories that provide non-consistent results when comparing to others. It permits to work simultaneously with various testing materials, from standard univariate, and functional data analysis (FDA) perspectives. The univariate approach based on ASTM E691-08 consist of estimating the Mandel's h and k statistics to identify those laboratories that provide more significant different results, testing also the presence of outliers by Cochran and Grubbs tests, Analysis of variance (ANOVA) techniques are provided (F and Tuckey tests) to test differences in means corresponding to different laboratories per each material. Taking into account the functional nature of data retrieved in analytical chemistry, applied physics and engineering (spectra, thermograms, etc.). ILS package provides a FDA approach for finding the Mandel's k and h statistics distribution by smoothing bootstrap resampling.
Authors:
ILS_0.2.tar.gz
ILS_0.2.zip(r-4.7-any)ILS_0.2.zip(r-4.6-any)ILS_0.2.zip(r-4.5-any)
ILS_0.2.tgz(r-4.6-any)ILS_0.2.tgz(r-4.5-any)
ILS_0.2.tar.gz(r-4.7-any)ILS_0.2.tar.gz(r-4.6-any)
ILS_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ILS/json (API)
| # Install 'ILS' in R: |
| install.packages('ILS', repos = c('https://mflores72000.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mflores72000/ils/issues
Datasets:
Last updated from:1776e9b77e. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | WARNING | 160 | ||
| source / vignettes | OK | 242 | ||
| linux-release | WARNING | 162 | ||
| macos-release | WARNING | 165 | ||
| macos-oldrel | WARNING | 203 | ||
| windows-devel | WARNING | 109 | ||
| windows-release | WARNING | 162 | ||
| windows-oldrel | WARNING | 102 | ||
| wasm-release | OK | 113 |
Exports:boot.sim.setcochran.testfunc.ils.formulagrubbs.testh.qcsils.fqcdatails.fqcsk.qcslab.aovlab.qcdatalab.qcsmandel.fqcsoutliers.ils
Dependencies:ashbitopscliclustercodetoolscolorspacecpp11depthToolsdeSolvedoParallelevaluatefarverfdafda.uscfdsFNNforeachggplot2gluegtablehdrcdehighrisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmultcompmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRCurlrlangS7sandwichscalesSuppDistssurvivalTH.datavctrsviridisLitewithrxfunyamlzoo
Conference materials
Last update: 2022-10-10
Started: 2022-09-15
Conferences and presentations
r colorize("Statistical quality control with QCR and ILS packages.","#1CA666") | r colorize("Salvador Naya Fernández | De Galicia a Ecuador. Ida e volta con R.","#1CA666")
Last update: 2022-10-10
Started: 2022-09-15
Articles
r colorize("Functional extensions of Mandel’s h and k statistics for outlier detection in interlaboratory studies.","#1CA666") | r colorize("Cite","#1CA666") | r colorize("An R package for statistical analysis in Interlaboratory Studies","#1CA666") | r colorize("Statistical functional approach for interlaboratory studies with thermal data","#1CA666") | r colorize("Robust bootstrapped Mandel's h and k statistics for outlier detection in interlaboratory studies","#1CA666")
Last update: 2022-10-10
Started: 2022-10-05
Degree work
r colorize("New Contributions of Functional Data Analysis in Statistical Process Control","#1CA666") | r colorize("Cite","#1CA666") | r colorize("New methodology for the detection of not consistent results in interlaboratory studies using functional data analysis","#1CA666") | r colorize("Application of a new methodology based on the Bootstrap method for the detection of atypical results in interlaboratory studies: A practical case in clinical laboratories","#1CA666") | r colorize("Functional data analysis approach of Mandel's h and k statistic in Interlaboratory Studies","#1CA666")
Last update: 2022-10-10
Started: 2022-09-15
About the authors
r colorize("Dr. Miguel Alfonso Flores","#1CA666") | r colorize("Biography","#1CA666") | r colorize("Dr. Rubén Fernandez","#1CA666") | r colorize("Dr. Salvador Naya","#1CA666") | r colorize("Dr. Javier Tarrio-Saavedra","#1CA666")
Last update: 2022-10-10
Started: 2022-09-15
Functional Data Analysis (FDA)
r colorize("3. Interlaboratory Studies: New FDA Approach","#1CA666") | r colorize("3.1. Hypothesis of reproducibility and repeatability","#1CA666") | r colorize("3.2. ILS: Thermogravimetric Study","#1CA666")
Last update: 2022-10-03
Started: 2022-09-15
Univariate Data Analysis
r colorize("2. Standard Approach","#1CA666") | r colorize("2.1. Consistency tests","#1CA666") | r colorize("2.1.1. Mandel's h statistic and Grubbs test","#1CA666") | r colorize("2.1.2. Mandel's k statistic and Cochran test","#1CA666") | r colorize("2.2. ILS: Glucose study","#1CA666")
Last update: 2022-09-15
Started: 2022-09-12
Examples ILS
r colorize("1. Examples of Interlaboratory Studies","#1CA666") | r colorize("1.2. Clinical study of blood glucose measurement","#1CA666") | r colorize("1.2. Characterization of materials by thermogravimetric analysis","#1CA666")
Last update: 2022-09-15
Started: 2022-09-15
