ave_power_over_splices: Calculate mean average power over splices using a splicing...

In movementsync: Analysis and Visualisation of Musical Audio and Video Movement Synchrony Data

Calculate mean average power over splices using a splicing table

Description

Randomly generates splices from a splicing table and calculates average power for each segment and splice. Calculates the mean average power over the random splices for each segment and period. Compares with the average power for the original splice.

Usage

ave_power_over_splices(
  jv,
  splicing_df,
  num_splices,
  column,
  sampling_type = "offset",
  rejection_list = list(),
  include_original = TRUE,
  show_plot = TRUE
)

Arguments

jv	JoinedView object.
splicing_df	Splice object.
num_splices	number of randomly chosen splices.
column	name of data column on which to calculate average power.
sampling_type	either 'offset' or 'gap'.
rejection_list	list of splice objects that random splices must not overlap.
include_original	include the original splice in output? (Default is TRUE).
show_plot	show a plot? (Default is TRUE).

Value

data.frame of splice segments and their average power.

See Also

Other statistical and analysis functions: apply_column_spliceview(), apply_segment_spliceview(), ave_cross_power_over_splices(), ave_cross_power_spliceview(), ave_power_spliceview(), calculate_ave_cross_power1(), calculate_ave_power1(), compare_ave_cross_power1(), compare_ave_power1(), compare_avg_cross_power2(), compare_avg_power2(), difference_onsets(), pull_segment_spliceview(), sample_gap_splice(), sample_offset_splice(), summary_onsets(), visualise_sample_splices()

Examples

r <- get_sample_recording()
fv_list <- get_filtered_views(r, data_points = "Nose", n = 41, p = 3)
jv <- get_joined_view(fv_list)

d <- get_duration_annotation_data(r)
splicing_tabla_solo_df <- splice_time(d,
  expr = "Tier == 'INTERACTION' & Comments == 'Mutual look and smile'")

# Only do the first splice for sample data
mean_ave_power_df <- ave_power_over_splices(jv, splicing_tabla_solo_df[1,], num_splices = 10,
column = 'Nose_x_Central_Sitar', show_plot = TRUE)

movementsync documentation built on Aug. 8, 2025, 6:11 p.m.