apply_column_spliceview function

Apply summary function to the columns in each segment of a SpliceView object

Apply summary function to each data point column in a SplicedView and return list of output data.

apply_column_spliceview(sv, FUN, simplify = FALSE, USE.NAMES = FALSE, ...)

sapply_column_spliceview(sv, FUN, simplify = TRUE, USE.NAMES = TRUE, ...)

Arguments

• sv: SplicedView object.
• FUN: function to apply.
• simplify: see sapply().
• USE.NAMES: see sapply().
• ...: passed to FUN.

Returns

see sapply().

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)
mean_mat <- apply_column_spliceview(sv_duration_smile, mean, na.rm=TRUE)

See Also

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