Efficient Plotting of Large-Sized Data
R6 base class for the aggregation
Aggregation which returns the candle sticks
Aggregation using a user-defined function.
Aggregation which returns arbitrary statistics
R6 class for down-sampling data
Aggregation using local minimum and maximum values, and Largest Triang...
Show the aggregation functions
Aggregation using Largest Triangle Three Buckets (LTTB) method.
Aggregation using local maximum (absolute) values.
Aggregation using local minimum and maximum values.
Aggregation using local minimum and maximum values of which small data...
Aggregation which returns every Nth point.
NULL aggregator.
Build plotly data with low computation cost
R6 class for handling plotly data
Aggregation which returns the ranges and nominal values within small d...
Aggregation which returns the rms and maximum values within small data...
Aggregation that returns ranges of the data.
Wrapper for plotting large-sized data using shinyHugePlot
shinyHugePlot
Function to call a method to update plotly traces
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>.