apply_segment_spliceview function

Apply complex function to each segment in a SpliceView object

apply_segment_spliceview(sv, FUN, ...)

Arguments

• sv: SplicedView object.
• FUN: function to apply.
• ...: passed to FUN.

Returns

list of two elements: 'output' containing results of apply FUN to 'input'

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)
wavelet_smile_list <- apply_segment_spliceview(sv_duration_smile, analyze_wavelet,
  column = "Nose_x_Central_Sitar")
names(wavelet_smile_list)

See Also

Other statistical and analysis functions: apply_column_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(), pull_segment_spliceview(), sample_gap_splice(), sample_offset_splice(), summary_onsets(), visualise_sample_splices()