calculate_ave_power1 function

Calculate average power distribution using a splicing table

calculate_ave_power1(
  jv,
  splicing_df,
  splice_name,
  num_segment_samples,
  column,
  show_plot = TRUE
)

Arguments

• jv: JoinedView object.
• splicing_df: Splice object.
• splice_name: Name to give randomly spliced segments.
• num_segment_samples: number of segments to randomly sample.
• column: name of data column on which to calculate average power.
• show_plot: show the plot? (Default is TRUE).

Returns

a data frame: containing average power on the spliced JoinedView.

Examples

r <- get_sample_recording()
fv_list <- get_filtered_views(r, data_points = 'Nose', n = 41, p = 3)
jv <- get_joined_view(fv_list)
splicing_df <- splice_time(list(a = c(0, 5), b = c(10, 15)))
output_dfr <- calculate_ave_power1(jv, splicing_df, 'Splice', 10, 'Nose_x_Central_Tabla')

See Also

Other statistical and analysis functions: apply_column_spliceview(), apply_segment_spliceview(), ave_cross_power_over_splices(), ave_cross_power_spliceview(), ave_power_over_splices(), ave_power_spliceview(), calculate_ave_cross_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()