shinyHugePlot: Efficient Plotting of Large-Sized Data

A tool to plot data with large sample size using 'shiny' and 'plotly'. Relatively small samples are chosen from the data using an appropriate algorithm according to a user-defined x range. Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost (2022) <https://github.com/predict-idlab/plotly-resampler>.

Version: 0.2.1
Depends: R (≥ 4.2.0), plotly (≥ 4.10.0), shiny (≥ 1.7.1)
Imports: R6 (≥ 2.5.1), dplyr (≥ 1.0.9), tibble (≥ 3.1.7), tidyr (≥ 1.2.0), tidyselect (≥ 1.1.2), data.table (≥ 1.14.2), stringr (≥ 1.4.0), nanotime (≥ 0.3.6), assertthat (≥ 0.2.1), bit64 (≥ 4.0.5), purrr (≥ 0.3.4), jsonlite (≥ 1.8.0), lazyeval (≥ 0.2.2), shinyjs (≥ 2.1.0), htmltools (≥ 0.5.2), rlang (≥ 1.0.5)
Suggests: testthat
Published: 2022-11-17
Author: Junta Tagusari [aut, cre, cph], Jonas Van Der Donckt [cph], Jeroen Van Der Donckt [cph], Emiel Deprost [cph]
Maintainer: Junta Tagusari <j.tagusari at eng.hokudai.ac.jp>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: shinyHugePlot results

Documentation:

Reference manual: shinyHugePlot.pdf

Downloads:

Package source: shinyHugePlot_0.2.1.tar.gz
Windows binaries: r-devel: shinyHugePlot_0.2.1.zip, r-release: shinyHugePlot_0.2.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): shinyHugePlot_0.2.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): shinyHugePlot_0.2.1.tgz, r-oldrel (x86_64): not available
Old sources: shinyHugePlot archive

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