shinyHugePlot
Efficient Plotting of Large-Sized Data
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | shinyHugePlot_0.3.0.tar.gz |
1.2 MiB |
0.3.0 |
rolling linux/noble R-4.5 | shinyHugePlot_0.3.0.tar.gz |
1.2 MiB |
0.3.0 |
rolling source/ R- | shinyHugePlot_0.3.0.tar.gz |
762.0 KiB |
0.3.0 |
latest linux/jammy R-4.5 | shinyHugePlot_0.3.0.tar.gz |
1.2 MiB |
0.3.0 |
latest linux/noble R-4.5 | shinyHugePlot_0.3.0.tar.gz |
1.2 MiB |
0.3.0 |
latest source/ R- | shinyHugePlot_0.3.0.tar.gz |
762.0 KiB |
0.3.0 |
2026-04-26 source/ R- | shinyHugePlot_0.3.0.tar.gz |
762.0 KiB |
0.3.0 |
2026-04-23 source/ R- | shinyHugePlot_0.3.0.tar.gz |
762.0 KiB |
0.3.0 |
2026-04-09 windows/windows R-4.5 | shinyHugePlot_0.3.0.zip |
1.2 MiB |
0.3.0 |
2025-04-20 source/ R- | shinyHugePlot_0.3.0.tar.gz |
762.0 KiB |
Dependencies (latest)
Depends
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)