Shiny (software) (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Shiny (software)" in English language version.

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1mastering-shiny.org

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R-project.org

CRAN.R-project.org

"Shiny: Web Application Framework for R". 1 August 2024.

doi.org

Doi, Jimmy; Potter, Gail; Wong, Jimmy; Alcaraz, Irvin; Chi, Peter (2016). "Web Application Teaching Tools for Statistics Using R and Shiny". Technology Innovations in Statistics Education. 9 (1). doi:10.5070/T591027492.
Kasprzak, Peter; Mitchell, Lachlan; Kravchuk, Olena; Timmins, Andy (2020). "Six Years of Shiny in Research - Collaborative Development of Web Tools in R" (PDF). The R Journal. 12 (2): 20–42. doi:10.32614/RJ-2021-004. S2CID 231709443. Retrieved 12 March 2022.
Li, Yu (2020). "Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker". Environmental Modelling & Software. 132: 104797. doi:10.1016/j.envsoft.2020.104797. hdl:20.500.11850/431312. S2CID 221823072.
Kaufman, Aaron R. (30 April 2020). "Implementing novel, flexible, and powerful survey designs in R Shiny". PLOS ONE. 15 (4): e0232424. Bibcode:2020PLoSO..1532424K. doi:10.1371/journal.pone.0232424. PMC 7192460. PMID 32353057.

handle.net

hdl.handle.net

Li, Yu (2020). "Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker". Environmental Modelling & Software. 132: 104797. doi:10.1016/j.envsoft.2020.104797. hdl:20.500.11850/431312. S2CID 221823072.

harvard.edu

ui.adsabs.harvard.edu

Kaufman, Aaron R. (30 April 2020). "Implementing novel, flexible, and powerful survey designs in R Shiny". PLOS ONE. 15 (4): e0232424. Bibcode:2020PLoSO..1532424K. doi:10.1371/journal.pone.0232424. PMC 7192460. PMID 32353057.

infoworld.com

Machlis, Sharon (2022-07-27). "RStudio unveils Shiny for Python". InfoWorld. Retrieved 2024-05-17.

mastering-shiny.org

Wickham, Hadley. "Your first Shiny app". Mastering Shiny. Retrieved 25 October 2024.

nih.gov

ncbi.nlm.nih.gov

Kaufman, Aaron R. (30 April 2020). "Implementing novel, flexible, and powerful survey designs in R Shiny". PLOS ONE. 15 (4): e0232424. Bibcode:2020PLoSO..1532424K. doi:10.1371/journal.pone.0232424. PMC 7192460. PMID 32353057.

pubmed.ncbi.nlm.nih.gov

Kaufman, Aaron R. (30 April 2020). "Implementing novel, flexible, and powerful survey designs in R Shiny". PLOS ONE. 15 (4): e0232424. Bibcode:2020PLoSO..1532424K. doi:10.1371/journal.pone.0232424. PMC 7192460. PMID 32353057.

posit.co

shiny.posit.co

"Shiny for Python - Express vs. Core". Retrieved 28 October 2024.
"Shiny for Python - Overview". Retrieved 25 October 2024.

posit.co

"Posit". Posit. Retrieved 2024-11-01.

r-project.org

journal.r-project.org

Kasprzak, Peter; Mitchell, Lachlan; Kravchuk, Olena; Timmins, Andy (2020). "Six Years of Shiny in Research - Collaborative Development of Web Tools in R" (PDF). The R Journal. 12 (2): 20–42. doi:10.32614/RJ-2021-004. S2CID 231709443. Retrieved 12 March 2022.

rstudio.com

shiny.rstudio.com

"Shiny for Python - Shinylive: Shiny + WebAssembly". shiny.rstudio.com. Retrieved 2023-01-30.

semanticscholar.org

api.semanticscholar.org

Kasprzak, Peter; Mitchell, Lachlan; Kravchuk, Olena; Timmins, Andy (2020). "Six Years of Shiny in Research - Collaborative Development of Web Tools in R" (PDF). The R Journal. 12 (2): 20–42. doi:10.32614/RJ-2021-004. S2CID 231709443. Retrieved 12 March 2022.
Li, Yu (2020). "Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker". Environmental Modelling & Software. 132: 104797. doi:10.1016/j.envsoft.2020.104797. hdl:20.500.11850/431312. S2CID 221823072.

shinyapps.io

"shinyapps.io". www.shinyapps.io. Retrieved 2022-05-24.