pull_segment_spliceview function

Apply function to SplicedView and pull out element from output

Apply function to SplicedView and pull out element from output

pull_segment_spliceview(sv, FUN, element, ...)

Arguments

  • sv: SplicedView object.
  • FUN: function to apply.
  • element: name of element to pull out from output object.
  • ...: passed to function.

Returns

list with output and input fields.

Examples

r <- get_sample_recording() d1 <- get_duration_annotation_data(r) # only one relevant section for sample data splicing_smile_df <- splice_time(d1, tier ='INTERACTION', comments = 'Mutual look and smile') fv_list <- get_filtered_views(r, data_points = "Nose", n = 41, p = 3) jv <- get_joined_view(fv_list) sv_duration_smile <- get_spliced_view(jv, splicing_df = splicing_smile_df) pull_segment_spliceview(sv_duration_smile, FUN = analyze_wavelet, column = "Nose_x_Central_Sitar", element = '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_over_splices(), 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(), sample_gap_splice(), sample_offset_splice(), summary_onsets(), visualise_sample_splices()

  • Maintainer: Tuomas Eerola
  • License: MIT + file LICENSE
  • Last published: 2023-06-09

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