visualise_sample_splices function

Visualise random splices

visualise_sample_splices(
  splicing_df,
  splicing_list,
  jv,
  overlay = TRUE,
  avoid_splice_list = list(),
  unstack = FALSE
)

Arguments

• splicing_df: Splice object.
• splicing_list: a list of Splice objects.
• jv: JoinedView object.
• overlay: overlay the segments for a density plot?
• avoid_splice_list: list of Splice objects that determine times not to sample.
• unstack: overlay segments on top of each other? (default is FALSE).

Returns

a ggplot object.

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)))
splicing_list <- sample_offset_splice(splicing_df, jv, num_splices = 20)
visualise_sample_splices(splicing_df, splicing_list, jv)

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(), pull_segment_spliceview(), sample_gap_splice(), sample_offset_splice(), summary_onsets()