A tutorial on the analysis of multifactorial designs from one or more data sources using AComDim.
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- Journal of Chemometrics, 2023, v. 37, n. 7, p. 1, doi. 10.1002/cem.3384
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Works matching IS 08869383 AND DT 2023 AND VI 37 AND IP 7
Results: 8
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limpca: An R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods.
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- Journal of Chemometrics, 2023, v. 37, n. 7, p. 1, doi. 10.1002/cem.3482
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- Article
3
Efficiently handling high‐dimensional data from multifactorial designs with unequal group sizes using Rebalanced ASCA (RASCA).
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- Journal of Chemometrics, 2023, v. 37, n. 7, p. 1, doi. 10.1002/cem.3401
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- Article
4
Advancements in multivariate analysis of variance.
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- Journal of Chemometrics, 2023, v. 37, n. 7, p. 1, doi. 10.1002/cem.3504
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- Article
5
Methodologies based on ASCA to elucidate the influence of a subprocess: Vinification as a case of study.
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- Journal of Chemometrics, 2023, v. 37, n. 7, p. 1, doi. 10.1002/cem.3465
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- Article
6
Comprehensive multivariate evaluation of the effects on cell phenotypes in multicolor flow cytometry data using ANOVA simultaneous component analysis.
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- Journal of Chemometrics, 2023, v. 37, n. 7, p. 1, doi. 10.1002/cem.3402
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- Article
7
Issue Information.
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- Journal of Chemometrics, 2023, v. 37, n. 7, p. 1, doi. 10.1002/cem.3420
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- Article
8
Permutation tests for ASCA in multivariate longitudinal intervention studies.
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- Journal of Chemometrics, 2023, v. 37, n. 7, p. 1, doi. 10.1002/cem.3398
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- Article