compare_avg_cross_power2 | R Documentation |
Compare the average cross power distribution of two SplicedViews using sampling on each segment
compare_avg_cross_power2(
sv1,
sv2,
name1,
name2,
num_samples,
columns,
show_plot = TRUE
)
sv1 |
|
sv2 |
|
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? |
list of two data.frames containing the sampled data.
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()
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"))
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