eLTTB_aggregator: Aggregation using local minimum and maximum values, and...

In shinyHugePlot: Efficient Plotting of Large-Sized Data

Aggregation using local minimum and maximum values, and Largest Triangle Three Buckets (LTTB) method.

Description

Efficient version off LTTB by first reducing really large data with the min_max_ovlp_aggregator and then further aggregating the reduced result with LTTB_aggregator.

Format

An R6::R6Class object

Super class

shinyHugePlot::aggregator -> eLTTB_aggregator

Public fields

LTTB

An R6 LTTB_aggregator instance

minmax

An R6 min_max_ovlp_aggregator instance

Methods

Public methods

• eLTTB_aggregator$new()

• eLTTB_aggregator$clone()

Inherited methods

• shinyHugePlot::aggregator$aggregate()
• shinyHugePlot::aggregator$set_parameters()

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Method new()

Constructor of the aggregator.

Usage

eLTTB_aggregator$new(..., interleave_gaps, coef_gap, NA_position)

Arguments

...

Arguments pass to the constructor of aggregator, LTTB_aggregator and min_max_oblp_aggregator objects.

interleave_gaps, coef_gap, NA_position

Arguments pass to the constructor of aggregator object.

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Method clone()

The objects of this class are cloneable with this method.

Usage

eLTTB_aggregator$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

data(noise_fluct)
agg <- eLTTB_aggregator$new(interleave_gaps = TRUE)
d_agg <- agg$aggregate(noise_fluct$time, noise_fluct$f500, 1000)
plotly::plot_ly(x = d_agg$x, y = d_agg$y, type = "scatter", mode = "lines")

shinyHugePlot documentation built on Oct. 1, 2024, 5:08 p.m.