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Calculate average power distribution using a splicing table

Usage

calculate_ave_power1(
  jv,
  splicing_df,
  splice_name,
  num_segment_samples,
  column,
  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.

column

name of data column on which to calculate average power.

show_plot

show the plot? (Default is TRUE).

Value

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

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_power1(jv, splicing_df, 'Splice', 10, 'Nose_x_Central_Tabla')
#> Starting wavelet transformation...
#> ... and simulations... 
#> 
  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
#> Class attributes are accessible through following names:
#> series loess.span dt dj Wave Phase Ampl Power Power.avg Power.pval Power.avg.pval Ridge Period Scale nc nr coi.1 coi.2 axis.1 axis.2 date.format date.tz 
#> Starting wavelet transformation...
#> ... and simulations... 
#> 
  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
#> Class attributes are accessible through following names:
#> series loess.span dt dj Wave Phase Ampl Power Power.avg Power.pval Power.avg.pval Ridge Period Scale nc nr coi.1 coi.2 axis.1 axis.2 date.format date.tz