Cited by 133Data Analysis with RStatistical Methods and Bayesian InferenceStatistical Methods and Applications

The DOI matches its Crossref record; 40 of the 42 references it cites were found in a registry or an index.

Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA.RM

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Abstract

Nonparametric statistical inference methods for a modern and robust analysis of longitudinal and multivariate data in factorial experiments are essential for research.While existing approaches that rely on specific distributional assumptions of the data (multivariate normality and/or equal covariance matrices) are implemented in statistical software packages, there is a need for user-friendly software that can be used for the analysis of data that do not fulfill the aforementioned assumptions and provide accurate p value and confidence interval estimates.Therefore, newly developed nonparametric statistical methods based on bootstrap-and permutation-approaches, which neither assume multivariate normality nor specific covariance matrices, have been implemented in the freely available R package MANOVA.RM.The package is equipped with a graphical user interface for plausible applications in academia and other educational purpose.Several motivating examples illustrate the application of the methods.

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Crossref · 10.32614/rj-2019-051

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Figures

Image 1
CC-BY · From the PDF
Figure 1 Plot for factor "sex" in the RM model of the EEG data example.
Figure 1 Plot for factor "sex" in the RM model of the EEG data example.CC-BY · From the PDF
Figure 2 Plot for the interaction between "sex" and "diagnosis" (upper panel) as well as additionally taking "feature" into account (lower panel) in the RM model of the EEG data example.
Figure 2 Plot for the interaction between "sex" and "diagnosis" (upper panel) as well as additionally taking "feature" into account (lower panel) in the RM model of the EEG data example.CC-BY · From the PDF
Figure 3 Plot of the confidence region for factor location in the water example from package HSAUR .
Figure 3 Plot of the confidence region for factor location in the water example from package HSAUR .CC-BY · From the PDF
Image 5
CC-BY · From the PDF
Figure 5 Graphical user interfaces for plotting: The left GUI is for the one-way layout (no choice of factors possible), the right one is for a two-way layout with an example for plotting interactions.
Figure 5 Graphical user interfaces for plotting: The left GUI is for the one-way layout (no choice of factors possible), the right one is for a two-way layout with an example for plotting interactions.CC-BY · From the PDF
Image 7
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Citations

Cites

Show all 42 references

Research works printed but not linked: 4

  1. J. Fox and S. Weisberg. An R Companion to Applied Regression. Sage, Thousand Oaks CA, 2nd edition, 2011. URL http://socserv.socsci.mcmaster.ca/jfox/Books/Companion.
  2. T. Hothorn, F. Bretz, and P. Westfall. Simultaneous inference in general parametric models. Biometrical Journal, 50(3):346-363, 2008b.
  3. J. Lemon. Plotrix: a package in the red light district of r. R-News, 6(4):8-12, 2006.
  4. L. M. Lix and H. Keselman. Multivariate tests of means in independent groups designs: Effects of covariance heterogeneity and nonnormality. Evaluation & the Health Professions, 27(1):45-69, 2004.

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Metadata

Authors
Friedrich, S., Konietschke, F., & Pauly, M.
Affiliations
TU Dortmund University (DE)
Venue
The R Journal
Published
2019
Volume
11
Issue
2
Pages
380
ISSN
2073-4859 (ISSN-L)
OpenAlex
W2998668315
Cited by
131
References
42
Citations by year
2026: 10 · 2025: 21 · 2024: 19 · 2023: 31 · 2022: 17 · 2021: 19 · 2020: 13
FWCI
5.58
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • The R Journal (publishedVersion, cc-by)
  • Lincoln (University of Nebraska) (submittedVersion, cc-by)
  • GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, other-oa)
  • OPUS (Augsburg University) (submittedVersion, cc-by)
Funders
Deutsche Forschungsgemeinschaft (DFG‐PA 2409/3‐1)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
repeated measures designs, longitudinal data, bootstrapping, permutation tests, multivariate normality, covariance structure, R package, graphical user interface, confidence intervals, p-value estimation

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