FielDHub: A shiny app for design of experiments in life sciences

FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially-replicated (Cullis et al., 2006) designs applied to agriculture, plant breeding, forestry, animal and biological sciences. One of the problems that life scientists o...

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Autores principales: Murillo, Didier A., Gezan, Salvador A., Heilman, Ana M., Walk, Thomas C., Aparicio, Johan Steven, Horsley, Richard D.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Open Journal 2021
Materias:
Acceso en línea:https://hdl.handle.net/10568/113954
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author Murillo, Didier A.
Gezan, Salvador A.
Heilman, Ana M.
Walk, Thomas C.
Aparicio, Johan Steven
Horsley, Richard D.
author_browse Aparicio, Johan Steven
Gezan, Salvador A.
Heilman, Ana M.
Horsley, Richard D.
Murillo, Didier A.
Walk, Thomas C.
author_facet Murillo, Didier A.
Gezan, Salvador A.
Heilman, Ana M.
Walk, Thomas C.
Aparicio, Johan Steven
Horsley, Richard D.
author_sort Murillo, Didier A.
collection Repository of Agricultural Research Outputs (CGSpace)
description FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially-replicated (Cullis et al., 2006) designs applied to agriculture, plant breeding, forestry, animal and biological sciences. One of the problems that life scientists often face is the lack of freely available and user-friendly interactive tools to create designs that fit their needs. A few open-source DOE R packages options exist including agricolae (de Mendiburu & Yaseen, 2020) and blocksdesign (Edmondson, 2021), but they require users to be familiar with the R programming language and do not have a graphical user interface (GUI).
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publishDate 2021
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spelling CGSpace1139542025-11-11T19:04:01Z FielDHub: A shiny app for design of experiments in life sciences Murillo, Didier A. Gezan, Salvador A. Heilman, Ana M. Walk, Thomas C. Aparicio, Johan Steven Horsley, Richard D. software development life sciences experimental design methods desarrollo de programas informáticos ciencias biológicas diseño experimental FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially-replicated (Cullis et al., 2006) designs applied to agriculture, plant breeding, forestry, animal and biological sciences. One of the problems that life scientists often face is the lack of freely available and user-friendly interactive tools to create designs that fit their needs. A few open-source DOE R packages options exist including agricolae (de Mendiburu & Yaseen, 2020) and blocksdesign (Edmondson, 2021), but they require users to be familiar with the R programming language and do not have a graphical user interface (GUI). 2021-05-18 2021-06-15T12:48:38Z 2021-06-15T12:48:38Z Journal Article https://hdl.handle.net/10568/113954 en Open Access application/pdf Open Journal Murillo, D.A.; Gezan, S.A.; Heilman, A.M.; Walk, T.C.; Aparicio, J.S.; Horsley, R.D. (2021) FielDHub: A shiny app for design of experiments in life sciences. The Journal of Open Source Software 6(61) 3122 ISSN: 2475-9066
spellingShingle software development
life sciences
experimental design
methods
desarrollo de programas informáticos
ciencias biológicas
diseño experimental
Murillo, Didier A.
Gezan, Salvador A.
Heilman, Ana M.
Walk, Thomas C.
Aparicio, Johan Steven
Horsley, Richard D.
FielDHub: A shiny app for design of experiments in life sciences
title FielDHub: A shiny app for design of experiments in life sciences
title_full FielDHub: A shiny app for design of experiments in life sciences
title_fullStr FielDHub: A shiny app for design of experiments in life sciences
title_full_unstemmed FielDHub: A shiny app for design of experiments in life sciences
title_short FielDHub: A shiny app for design of experiments in life sciences
title_sort fieldhub a shiny app for design of experiments in life sciences
topic software development
life sciences
experimental design
methods
desarrollo de programas informáticos
ciencias biológicas
diseño experimental
url https://hdl.handle.net/10568/113954
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