plotly

R package plotly: Create Interactive Web Graphics via ’plotly.js’. Easily translate ’ggplot2’ graphs to an interactive web-based version and/or create custom web-based visualizations directly from R. Once uploaded to a ’plotly’ account, ’plotly’ graphs (and the data behind them) can be viewed and modified in a web browser.


References in zbMATH (referenced in 15 articles )

Showing results 1 to 15 of 15.
Sorted by year (citations)

  1. Hansen Johnson, Daniel Morrison, Christopher Taggart: WhaleMap: a tool to collate and display whale survey results in near real-time (2021) not zbMATH
  2. Michael C. Thrun, Quirin Stier: Fundamental clustering algorithms suite (2021) not zbMATH
  3. Daniel Fischer, Karl Mosler, Jyrki Möttönen, Klaus Nordhausen, Oleksii Pokotylo, Daniel Vogel: Computing the Oja Median in R: The Package OjaNP (2020) not zbMATH
  4. Gavin Lee, Qing Zhang, Jane W. Liang, Theodore Huang, Christine Choirat, Giovanni Parmigiani, Danielle Braun: PanelPRO: A R package for multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer (2020) arXiv
  5. Hao Wang, Diederick Vermetten, Carola Doerr, Thomas Bäck: IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic (2020) arXiv
  6. Athanasia M. Mowinckel, Didac Vidal-Piñeiro: Visualisation of Brain Statistics with R-packages ggseg and ggseg3d (2019) arXiv
  7. Lindsay Rutter, Susan VanderPlas, Dianne Cook, Michelle A. Graham: ggenealogy: An R Package for Visualizing Genealogical Data (2019) not zbMATH
  8. Tal Galili, Alan OCallaghan, Jonathan Sidi, Carson Sievert: heatmaply: an R package for creating interactive cluster heatmaps for online publishing (2019) arXiv
  9. Alicja Gosiewska; Przemyslaw Biecek: auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic (2018) arXiv
  10. Chen, L.; Davydov, Y.; Gribkova, N.; Zitikis, R.: Estimating the index of increase via balancing deterministic and random data (2018)
  11. Jalal K. Siddiqui, Elizabeth Baskin, Mingrui Liu, Carmen Z. Cantemir-Stone, Bofei Zhang, Russell Bonneville, Joseph P. McElroy, Kevin R. Coombes, Ewy A. Mathé: IntLIM: Integration using Linear Models of metabolomics and gene expression data (2018) arXiv
  12. Yuan Tang: Autoplotly - Automatic Generation of Interactive Visualizations for Popular Statistical Results (2018) arXiv
  13. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  14. Benjamin R. Fitzpatrick, Kerrie Mengersen: A network flow approach to visualising the roles of covariates in random forests (2017) arXiv
  15. Pascal Kerschke: Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco (2017) arXiv