Efficient Plotting of Large-Sized Data R package shinyHugePlot version 0.3.0 A tool to plot data with a large sample size using 'shiny' and 'plotly'. Relatively small samples are obtained from the original data using a specific algorithm. The samples are updated 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>. Software 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), duckdb (>= 1.0.0), DBI (>= 1.2.2) Suggests: testthat Junta Tagusari <j.tagusari@eng.hokudai.ac.jp> Comprehensive R Archive Network (CRAN) Junta Tagusari [aut, cre, cph], Jonas Van Der Donckt [cph], Jeroen Van Der Donckt [cph], Emiel Deprost [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=shinyHugePlot/LICENSE) 2024-10-01 application/tgz https://CRAN.R-project.org/package=shinyHugePlot doi:10.32614/CRAN.package.shinyHugePlot en-US