compare_ave_power1 function

Compare average power distribution using a splicing table

Compare average power distribution using a splicing table

compare_ave_power1( jv, splicing_df, splice_name, num_segment_samples, num_splice_samples, column, sampling_type = "offset", rejection_list = list(), show_plot = TRUE )

Arguments

  • jv: JoinedView object.
  • splicing_df: Splice object.
  • splice_name: Name to give randomly spliced segments.
  • num_segment_samples: number of segments to randomly sample.
  • num_splice_samples: number of randomly chosen splices.
  • column: name of data column on which to calculate average power.
  • sampling_type: either 'offset' or 'gap'.
  • rejection_list: list of splice objects that random splices must not overlap.
  • show_plot: show the plot? (Default is TRUE).

Returns

list of two data frames: one containing average power on the first splice and the other containing the average power on randomly generated splices.

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))) output_list <- compare_ave_power1(jv, splicing_df, 'Random Splices', 5, 5, 'Nose_x_Central_Tabla')

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_avg_cross_power2(), compare_avg_power2(), difference_onsets(), pull_segment_spliceview(), 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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