When added to an existing shiny app, users may subset any developer-chosen R data.frame on the fly. That is, users are empowered to slice & dice data by applying multiple (order specific) filters using the AND (&) operator between each, and getting real-time updates on the number of rows effected/available along the way. Thus, any downstream processes that leverage this data source (like tables, plots, or statistical procedures) will re-render after new filters are applied. The shiny moduleâs user interface has a 'minimalist' aesthetic so that the focus can be on the data & other visuals. In addition to returning a reactive (filtered) data.frame, 'IDEAFilter' as also returns 'dplyr' filter statements used to actually slice the data.
Version: 0.2.0 Depends: R (≥ 2.10) Imports: crayon, ggplot2, pillar (≥ 1.5.0), purrr, RColorBrewer, shiny, shinyTime Suggests: dplyr, knitr, rmarkdown, shinytest, shinytest2, spelling, testthat Published: 2024-04-15 DOI: 10.32614/CRAN.package.IDEAFilter Author: Aaron Clark [aut, cre], Jeff Thompson [aut], Doug Kelkhoff [ctb, cph] (Author of shinyDataFilter), Maya Gans [ctb], SortableJS contributors [ctb] (SortableJS library), Biogen [cph] Maintainer: Aaron Clark <clark.aaronchris at gmail.com> BugReports: https://github.com/Biogen-Inc/IDEAFilter/issues License: MIT + file LICENSE URL: https://biogen-inc.github.io/IDEAFilter/, https://github.com/Biogen-Inc/IDEAFilter NeedsCompilation: no Language: en-US Materials: README NEWS CRAN checks: IDEAFilter results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=IDEAFilter to link to this page.
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