radiant.data: Data Menu for Radiant: Business Analytics using R and Shiny

The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.

Version: 1.6.3
Depends: R (≥ 4.0.0), magrittr (≥ 1.5), ggplot2 (≥ 3.4.2), lubridate (≥ 1.7.4), tidyr (≥ 0.8.2), dplyr (≥ 1.1.2)
Imports: tibble (≥ 1.4.2), rlang (≥ 0.4.10), arrow (≥ 12.0.1), broom (≥ 0.5.2), car (≥ 3.0-0), knitr (≥ 1.20), markdown (≥ 1.7), rmarkdown (≥ 2.22), shiny (≥ 1.8.0), jsonlite (≥ 1.0), shinyAce (≥ 0.4.1), psych (≥ 1.8.4), DT (≥ 0.28), readr (≥ 1.1.1), readxl (≥ 1.0.0), writexl (≥ 0.2), scales (≥ 0.4.0), curl (≥ 2.5), rstudioapi (≥ 0.7), import (≥ 1.1.0), plotly (≥ 4.7.1), glue (≥ 1.3.0), shinyFiles (≥ 0.9.1), stringi (≥ 1.2.4), randomizr (≥ 0.20.0), patchwork (≥ 1.0.0), bslib (≥ 0.5.0), png, MASS, base64enc
Suggests: dbplyr (≥ 2.1.1), DBI (≥ 0.7), RSQLite (≥ 2.0), RPostgres (≥ 1.4.4), webshot (≥ 0.5.0), testthat (≥ 2.0.0), pkgdown (≥ 1.1.0)
Published: 2023-12-17
Author: Vincent Nijs [aut, cre], Niklas von Hertzen [aut] (html2canvas library)
Maintainer: Vincent Nijs <radiant at rady.ucsd.edu>
BugReports: https://github.com/radiant-rstats/radiant.data/issues/
License: AGPL-3 | file LICENSE
URL: https://github.com/radiant-rstats/radiant.data/, https://radiant-rstats.github.io/radiant.data/, https://radiant-rstats.github.io/docs/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: radiant.data results

Documentation:

Reference manual: radiant.data.pdf

Downloads:

Package source: radiant.data_1.6.3.tar.gz
Windows binaries: r-devel: radiant.data_1.6.3.zip, r-release: radiant.data_1.6.3.zip, r-oldrel: radiant.data_1.6.3.zip
macOS binaries: r-release (arm64): radiant.data_1.6.3.tgz, r-oldrel (arm64): radiant.data_1.6.3.tgz, r-release (x86_64): radiant.data_1.6.3.tgz
Old sources: radiant.data archive

Reverse dependencies:

Reverse depends: bioCancer, radiant, radiant.basics, radiant.design, radiant.model, radiant.multivariate

Linking:

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