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IDEAFilter: Agnostic, Idiomatic Data Filter Module for Shiny

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 module’s 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
Author: Aaron Clark ORCID iD [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:

Reference manual: IDEAFilter.pdf
Vignettes: Using IDEAFilter

Downloads:

Package source: IDEAFilter_0.2.0.tar.gz
Windows binaries: r-devel: IDEAFilter_0.2.0.zip, r-release: IDEAFilter_0.2.0.zip, r-oldrel: IDEAFilter_0.2.0.zip
macOS binaries: r-release (arm64): IDEAFilter_0.2.0.tgz, r-oldrel (arm64): IDEAFilter_0.2.0.tgz, r-release (x86_64): IDEAFilter_0.2.0.tgz, r-oldrel (x86_64): IDEAFilter_0.2.0.tgz
Old sources: IDEAFilter archive

Reverse dependencies:

Reverse imports: tidyCDISC

Linking:

Please use the canonical form https://CRAN.R-project.org/package=IDEAFilter to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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