movementsync (version 0.1.5)

compare_avg_cross_power2: Compare the average cross power distribution of two SplicedViews using sampling on each segment

Description

Compare the average cross power distribution of two SplicedViews using sampling on each segment

Usage

compare_avg_cross_power2(
  sv1,
  sv2,
  name1,
  name2,
  num_samples,
  columns,
  show_plot = TRUE
)

Value

list of two data.frames containing the sampled data.

Arguments

sv1

SplicedView object.

sv2

SplicedView object.

name1

name for first object.

name2

name for second object.

num_samples

number of samples to draw from segments.

columns

column names in the data e.g. c('Nose_x', 'Nose_y').

show_plot

show the plot?

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_power2(), difference_onsets(), pull_segment_spliceview(), sample_gap_splice(), sample_offset_splice(), summary_onsets(), visualise_sample_splices()

Examples

r <- get_sample_recording()
d1 <- get_duration_annotation_data(r)
fv_list <- get_filtered_views(r, data_points = "Nose", n = 41, p = 3)
jv <- get_joined_view(fv_list)

# only one relevant section for sample data
splicing_smile_df <- splice_time(d1, tier ='INTERACTION',
  comments = 'Mutual look and smile')
sv_duration_smile <- get_spliced_view(jv, splicing_df = splicing_smile_df)

splicing_alap_df <- splice_time(
  d1, tier = 'FORM', comments = 'Alap'
)
sv_duration_alap <- get_spliced_view(jv, splicing_df = splicing_alap_df)

sample_list <- compare_avg_cross_power2(
sv_duration_smile, sv_duration_alap, 'Smile', 'Alap', num_samples = 100,
  columns = c("Nose_x_Central_Sitar", "Nose_y_Central_Sitar"))