ILS: Interlaboratoty Study
In ILS: Interlaboratory Study
ILS R Documentation
Interlaboratoty Study
Description
Interlaboratory Study
Details
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 the testing variable means corresponding to test differences in means corresponding to differente 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 functional Mandel's k and h statistics by smoothing bootstrap resampling of distribution.
ILS documentation built on Jan. 16, 2023, 1:07 a.m.
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| ILS | R Documentation |
Interlaboratoty Study
Description
Interlaboratory Study
Details
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 the testing variable means corresponding to test differences in means corresponding to differente 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 functional Mandel's k and h statistics by smoothing bootstrap resampling of distribution.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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