min_max_ovlp_aggregator: Aggregation using local minimum and maximum values of which...
In shinyHugePlot: Efficient Plotting of Large-Sized Data
min_max_ovlp_aggregator R Documentation
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
Method new()
Constructor of the Aggregator.
Usage
min_max_ovlp_aggregator$new(..., interleave_gaps, coef_gap, NA_position)
Arguments
interleave_gaps, coef_gap, NA_position, ...Arguments pass to the constructor of aggregator object.
Method clone()
The objects of this class are cloneable with this method.
Usage
min_max_ovlp_aggregator$clone(deep = FALSE)
Arguments
deepWhether 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")
shinyHugePlot documentation built on Oct. 1, 2024, 5:08 p.m.
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| min_max_ovlp_aggregator | R Documentation |
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
Method new()
Constructor of the Aggregator.
Usage
min_max_ovlp_aggregator$new(..., interleave_gaps, coef_gap, NA_position)
Arguments
interleave_gaps, coef_gap, NA_position, ...Arguments pass to the constructor of
aggregatorobject.
Method clone()
The objects of this class are cloneable with this method.
Usage
min_max_ovlp_aggregator$clone(deep = FALSE)
Arguments
deepWhether 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")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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