compare_ave_cross_power1 {movementsync}

Compare average cross power distribution using a splicing table

Description

Compare average cross power distribution using a splicing table

Usage

compare_ave_cross_power1(
  jv,
  splicing_df,
  splice_name,
  num_segment_samples,
  num_splice_samples,
  columns,
  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.

columns

name of data columns on which to calculate cross 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).

Value

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

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_power1(), compare_avg_cross_power2(), compare_avg_power2(), difference_onsets(), pull_segment_spliceview(), sample_gap_splice(), sample_offset_splice(), summary_onsets(), visualise_sample_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_cross_power1(jv, splicing_df, 'Random Splices', 5, 5,
c('Nose_x_Central_Tabla', 'Nose_y_Central_Tabla'))