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Apply function to SplicedView and pull out element from output

pull_segment_spliceview.Rd

Apply function to SplicedView and pull out element from output

Usage

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.

Value

list with output and input fields.

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()

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')
#> Starting wavelet transformation...
#> ... and simulations... 
#> 
  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
#> Class attributes are accessible through following names:
#> series loess.span dt dj Wave Phase Ampl Power Power.avg Power.pval Power.avg.pval Ridge Period Scale nc nr coi.1 coi.2 axis.1 axis.2 date.format date.tz