min_max_ovlp_aggregator {shinyHugePlot}

Aggregation using local minimum and maximum values of which small data ranges have 50% overlaps.

Description

Divide the data into 50% overlapping intervals and find the maximum and minimum values of each. n_out must be even number.

Format

An R6::R6Class object

Super class

shinyHugePlot::aggregator -> min_max_ovlp_aggregator

Methods

Public methods

• min_max_ovlp_aggregator$new()

• min_max_ovlp_aggregator$clone()

Inherited methods

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

Method new()

Constructor of the Aggregator.

Usage

min_max_ovlp_aggregator$new(
  ...,
  interleave_gaps,
  coef_gap,
  NA_position,
  accepted_datatype
)

Arguments

interleave_gaps, coef_gap, NA_position, accepted_datatype, ...

Arguments pass to the constructor of aggregator object.

Method clone()

The objects of this class are cloneable with this method.

Usage

min_max_ovlp_aggregator$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

data(noise_fluct)
agg <- min_max_ovlp_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")