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Calculate average cross power distribution using a splicing table

calculate_ave_cross_power1.Rd

Calculate average cross power distribution using a splicing table

Usage

calculate_ave_cross_power1(
  jv,
  splicing_df,
  splice_name,
  num_segment_samples,
  columns,
  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.

columns

name of data columns on which to calculate average cross power.

show_plot

show the plot? (Default is TRUE).

Value

a data frame: containing average cross power on the spliced JoinedView.

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_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()

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_dfr <- calculate_ave_cross_power1(jv, splicing_df, 'Splice', 10,
  c('Nose_x_Central_Tabla', 'Nose_y_Central_Tabla'))
#> Warning: NaNs produced
#> 
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#> Warning: NaNs produced
#> 
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  |======================================================================| 100%
#> Warning: NaNs produced
#> 
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  |                                                                      |   0%
#> Warning: NaNs produced
#> 
  |                                                                            
  |======================================================================| 100%