plot_pie: Pie chart of labeled EPG data

In LylChun/EPGminer: Analysis of EPG data

Pie chart of labeled EPG data

Description

The function plot_pie allows one to visualize EPG waveforms in a pie chart format.

Usage

plot_pie(data, pietype = c("time", "number"),
waveforms = c("non-probing", "C", "E1", "E2", "G", "pd1", "pd2", "pd"))

Arguments

data	A dataframe containing three columns: time, volts, waveform.
pietype	Select the type of pie chart to display. Default is time - a pie chart showing the percent of time spent in each waveform is displayed. If "number" is selected, then the number of instances for each waveform type is displayed - e.g. if there are 20 distinct waveforms, and 5 are of type C, then C will be 5/20 or 25%. To avoid double counting pds, the category pd itself (i.e. not pd1 or pd2) only consists of times where pd, not classified into subforms, appears.
waveforms	A list of waveforms to include in the plot. Default is all.

Details

The function plot_pie is designed to help visualize EPG waveform data.

Value

A plotly pie chart of EPG waveforms in a dataset. If none of the specified waveforms are present in the data, then the function will return NULL.

See Also

Other waveform functions: plot_wave(), wave_duration(), wave_extract(), wave_occurrence(), wave_topfreq(), wave_volts()

LylChun/EPGminer documentation built on Aug. 28, 2023, 12:30 a.m.