PHM: aplicación shiny sobre Pruebas de Hipótesis Multivariadas

Autores:
Hernández Barajas, Freddy
Pérez Agámez, Raúl Alberto
Tipo de recurso:
Article of journal
Fecha de publicación:
2026
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/21877
Acceso en línea:
https://doi.org/10.19053/uptc.01217488.v17.n1.2026.18445
Palabra clave:
Análisis multivariado
pruebas de hipótesis multivariadas
aplicaciones shiny
Multivariate analysis
multivariate hypothesis tests
shiny applications
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
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dc.title.es-ES.fl_str_mv PHM: aplicación shiny sobre Pruebas de Hipótesis Multivariadas
title PHM: aplicación shiny sobre Pruebas de Hipótesis Multivariadas
spellingShingle PHM: aplicación shiny sobre Pruebas de Hipótesis Multivariadas
Análisis multivariado
pruebas de hipótesis multivariadas
aplicaciones shiny
Multivariate analysis
multivariate hypothesis tests
shiny applications
title_short PHM: aplicación shiny sobre Pruebas de Hipótesis Multivariadas
title_full PHM: aplicación shiny sobre Pruebas de Hipótesis Multivariadas
title_fullStr PHM: aplicación shiny sobre Pruebas de Hipótesis Multivariadas
title_full_unstemmed PHM: aplicación shiny sobre Pruebas de Hipótesis Multivariadas
title_sort PHM: aplicación shiny sobre Pruebas de Hipótesis Multivariadas
dc.creator.fl_str_mv Hernández Barajas, Freddy
Pérez Agámez, Raúl Alberto
dc.contributor.author.spa.fl_str_mv Hernández Barajas, Freddy
Pérez Agámez, Raúl Alberto
dc.subject.none.fl_str_mv Análisis multivariado
pruebas de hipótesis multivariadas
aplicaciones shiny
Multivariate analysis
multivariate hypothesis tests
shiny applications
topic Análisis multivariado
pruebas de hipótesis multivariadas
aplicaciones shiny
Multivariate analysis
multivariate hypothesis tests
shiny applications
publishDate 2026
dc.date.accessioned.none.fl_str_mv 2026-10-17 23:11:30
dc.date.available.none.fl_str_mv 2026-10-17 23:11:30
dc.date.issued.none.fl_str_mv 2026-10-17
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.local.eng.fl_str_mv Journal article
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.doi.none.fl_str_mv 10.19053/uptc.01217488.v17.n1.2026.18445
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language spa
dc.relation.references.spa.fl_str_mv R. C. Team et al., “R: A language and environment for statistical computing. r foundation for statistical computing, vienna, austria,” http://www. R-project. org/, 2016.
W. Chang, J. Cheng, J. Allaire, C. Sievert, B. Schloerke, Y. Xie, J. Allen, J. McPherson, A. Dipert, and B. Borges, shiny: Web Application Framework for R, 2024. R package version 1.8.1.1.
H. Wickham, M. Averick, J. Bryan, W. Chang, L. D. Mc- Gowan, R. François, G. Grolemund, A. Hayes, L. Henry, J. Hester, M. Kuhn, T. L. Pedersen, E. Miller, S. M. Bache, K. Müller, J. Ooms, D. Robinson, D. P. Seidel, V. Spinu, K. Takahashi, D. Vaughan, C.Wilke, K.Woo, and H. Yutani, “Welcome to the tidyverse,” Journal of Open Source Software, vol. 4, no. 43, p. 1686, 2019.
E. Toffalini, F. Gambarota, A. Perugini, P. Girardi, V. Tobia, G. Altoè, D. Giofrè, P. C. Team, and T. Feraco, “Clusters that are not there: An r tutorial and a shiny app to quantify a priori inferential risks when using clustering methods,” International Journal of Psychology, 2024.
T. M. Antonelli and A. C. Olivieri, “Developing and implementing an r shiny application to introduce multivariate calibration to advanced undergraduate students,” 2020.
D. Johnson, “An intuitive approach to teaching analysis of variance,” Teaching of Psychology, vol. 16, no. 2, pp. 67–68, 1989.
G. Casella and R. Berger, Statistical inference. CRC Press, 2024.
H. Hotelling, “The Generalization of Student’s Ratio,” Annals of Mathematical Statistics, vol. 2, no. 3, pp. 360–378, 1931.
D.W. Scott, Multivariate density estimation: theory, practice, and visualization. John Wiley & Sons, 2015.
R. A. Johnson and D.W.Wichern, Applied multivariate statistical analysis. 6th. New Jersey, US: Pearson Prentice Hall, 2007.
B. Szüle, “Introduction to data analysis,” 2016.
T. W. Anderson, T. W. Anderson, T. W. Anderson, T. W. Anderson, and E.-U. Mathématicien, An introduction to multivariate statistical analysis, vol. 2. Wiley New York, 1958.
D. Nel and C. Van der Merwe, “A solution to the multivariate behrens-fisher problem,” Communications in Statistics-Theory and Methods, vol. 15, no. 12, pp. 3719– 3735, 1986.
G. E. Box, “A general distribution theory for a class of likelihood criteria,” Biometrika, vol. 36, no. 3/4, pp. 317– 346, 1949.
R Core Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2023.
R. Posit Team et al., “Rstudio: Integrated development environment for r,” Posit Software, PBC, Boston, MA, 2023.
H. Wickham, Mastering Shiny. O’Reilly Media, 2018.
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dc.relation.citationvolume.spa.fl_str_mv 17
dc.relation.ispartofjournal.spa.fl_str_mv Ciencia en Desarrollo
dc.relation.bitstream.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/download/18445/17363
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dc.publisher.spa.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
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institution Universidad Pedagógica y Tecnológica de Colombia
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spelling Hernández Barajas, FreddyPérez Agámez, Raúl Alberto2026-10-17 23:11:302026-10-17 23:11:302026-10-170121-748810.19053/uptc.01217488.v17.n1.2026.184452462-7658https://doi.org/10.19053/uptc.01217488.v17.n1.2026.18445application/pdfspaUniversidad Pedagógica y Tecnológica de Colombiahttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.esinfo:eu-repo/semantics/openAccessEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/18445Análisis multivariadopruebas de hipótesis multivariadasaplicaciones shinyMultivariate analysismultivariate hypothesis testsshiny applicationsPHM: aplicación shiny sobre Pruebas de Hipótesis MultivariadasArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85R. C. Team et al., “R: A language and environment for statistical computing. r foundation for statistical computing, vienna, austria,” http://www. R-project. org/, 2016.W. Chang, J. Cheng, J. Allaire, C. Sievert, B. Schloerke, Y. Xie, J. Allen, J. McPherson, A. Dipert, and B. Borges, shiny: Web Application Framework for R, 2024. R package version 1.8.1.1.H. Wickham, M. Averick, J. Bryan, W. Chang, L. D. Mc- Gowan, R. François, G. Grolemund, A. Hayes, L. Henry, J. Hester, M. Kuhn, T. L. Pedersen, E. Miller, S. M. Bache, K. Müller, J. Ooms, D. Robinson, D. P. Seidel, V. Spinu, K. Takahashi, D. Vaughan, C.Wilke, K.Woo, and H. Yutani, “Welcome to the tidyverse,” Journal of Open Source Software, vol. 4, no. 43, p. 1686, 2019.E. Toffalini, F. Gambarota, A. Perugini, P. Girardi, V. Tobia, G. Altoè, D. Giofrè, P. C. Team, and T. Feraco, “Clusters that are not there: An r tutorial and a shiny app to quantify a priori inferential risks when using clustering methods,” International Journal of Psychology, 2024.T. M. Antonelli and A. C. Olivieri, “Developing and implementing an r shiny application to introduce multivariate calibration to advanced undergraduate students,” 2020.D. Johnson, “An intuitive approach to teaching analysis of variance,” Teaching of Psychology, vol. 16, no. 2, pp. 67–68, 1989.G. Casella and R. Berger, Statistical inference. CRC Press, 2024.H. Hotelling, “The Generalization of Student’s Ratio,” Annals of Mathematical Statistics, vol. 2, no. 3, pp. 360–378, 1931.D.W. Scott, Multivariate density estimation: theory, practice, and visualization. John Wiley & Sons, 2015.R. A. Johnson and D.W.Wichern, Applied multivariate statistical analysis. 6th. New Jersey, US: Pearson Prentice Hall, 2007.B. Szüle, “Introduction to data analysis,” 2016.T. W. Anderson, T. W. Anderson, T. W. Anderson, T. W. Anderson, and E.-U. Mathématicien, An introduction to multivariate statistical analysis, vol. 2. Wiley New York, 1958.D. Nel and C. Van der Merwe, “A solution to the multivariate behrens-fisher problem,” Communications in Statistics-Theory and Methods, vol. 15, no. 12, pp. 3719– 3735, 1986.G. E. Box, “A general distribution theory for a class of likelihood criteria,” Biometrika, vol. 36, no. 3/4, pp. 317– 346, 1949.R Core Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2023.R. Posit Team et al., “Rstudio: Integrated development environment for r,” Posit Software, PBC, Boston, MA, 2023.H. Wickham, Mastering Shiny. O’Reilly Media, 2018.9818917Ciencia en Desarrollohttps://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/download/18445/17363Núm. 1 , Año 2026 : Vol. 17 Núm. 1 (2026): Vol. 17 Núm. 1 (2026): Vol. 17 Núm. 1 (2026): Vol 17, Núm.1 (2026): Enero - JunioPublicationOREORE.xmltext/xml2631https://repositorio.uptc.edu.co/bitstreams/d01137ff-0e5a-46f9-b9d8-fdf3c691d058/download175c8467fc4a19c8ad68742850884765MD51falseAnonymousREAD001/21877oai:repositorio.uptc.edu.co:001/218772026-10-30 07:01:28.495https://creativecommons.org/licenses/by-nc-nd/4.0/deed.esmetadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

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