Function reference • movementsync

Datasets

Datasets that come with movementsync

NIR_ABh_Puriya_Annotation: NIR_ABh_Puriya_Annotation

NIR_ABh_Puriya_Annotation_Influence: NIR_ABh_Puriya_Annotation_Influence

NIR_ABh_Puriya_Central_Feature_Sitar: NIR_ABh_Puriya_Central_Feature_Sitar

NIR_ABh_Puriya_Central_Pose_Sitar: NIR_ABh_Puriya_Central_Pose_Sitar

NIR_ABh_Puriya_Central_Pose_Tabla: NIR_ABh_Puriya_Central_Pose_Tabla

NIR_ABh_Puriya_Metre_DrutTeental: NIR_ABh_Puriya_Metre_DrutTeental

NIR_ABh_Puriya_Metre_VilambitTeental: NIR_ABh_Puriya_Metre_VilambitTeental

NIR_ABh_Puriya_Onsets_Selected_DrutTeental: NIR_ABh_Puriya_Onsets_Selected_DrutTeental

NIR_ABh_Puriya_Onsets_Selected_VilambitTeental: NIR_ABh_Puriya_Onsets_Selected_VilambitTeental

NIR_ABh_Puriya_OptFlow_Central_Sitar: NIR_ABh_Puriya_OptFlow_Central_Sitar

Obtaining data

Obtaining data

get_data_points(): Get the data points held in a view

get_duration_annotation_data(): Get duration annotation data

get_feature_data(): Get Feature Data

get_filtered_views(): Get filtered views

get_granger_interactions(): Get Granger Causality interactions

get_joined_view(): Get joined view from multiple views from the same recording

get_local_max_average_power(): Get periods locally maximal average power

get_metre_data(): Get metre files

get_onsets_selected_data(): Get onsets selected files

get_osf_recordings(): Get movementsync recording from OSF

get_processed_view(): Get processed view from Pose video data

get_processed_views(): Get processed views

get_raw_optflow_view(): Creates time reference and displacement from raw csv optflow data

get_raw_view(): Get view from Pose video data

get_raw_views(): Get Pose views from a recording

get_recording(): Get a meta-data recording object

get_sample_recording(): Get sample meta-data recording object

get_spliced_view(): Get spliced view from view object

list_osf_recordings(): List available recordings for movementsync from OSF

sample_gap_splice(): Randomly create matching segments from a splicing table without overlaps

sample_offset_splice(): Randomly create matching segments from a splicing table without overlaps

sample_time_spliced_views(): Sample the time line from a list of Views

pull_segment_spliceview(): Apply function to SplicedView and pull out element from output

merge_splice(): Merge splices together using set operations

is_splice_overlapping(): Checks if splicing data.frames overlap

open_movementsync_data(): Opens movementsync data home page at OSF

Organising data

Organising data

splice_time(<Duration>): Generate spliced timeline using a Duration object

splice_time(<Metre>): Generate spliced timeline using a Metre object

splice_time(<OnsetsDifference>): Generate spliced timeline using an OnsetsDifference object

splice_time(): S3 generic function to splice a timeline

splice_time(<View>): Generate spliced timeline using a view

splice_time(<list>): Generate spliced timeline using a list

subset(<View>): Subset a View

sample_gap_splice(): Randomly create matching segments from a splicing table without overlaps

sample_offset_splice(): Randomly create matching segments from a splicing table without overlaps

sample_time_spliced_views(): Sample the time line from a list of Views

pull_segment_spliceview(): Apply function to SplicedView and pull out element from output

merge_splice(): Merge splices together using set operations

clip_splice(): Clip a splice so segments are of fixed duration

apply_column_spliceview() sapply_column_spliceview(): Apply summary function to the columns in each segment of a SpliceView object

apply_filter(): Apply a filter to a View

apply_filter_sgolay(): Apply a Savitzky-Golay filter to a view

apply_segment_spliceview(): Apply complex function to each segment in a SpliceView object

split(<SplicedView>): Get a list of Views from a SplicedView

Plotting

Plotting functions

autolayer(<OnsetsSelected>) autolayer(<Metre>) autolayer(<Duration>) autolayer(<Splice>): Autolayer methods

autoplot(<GrangerTime>): Plot a Granger S3 object

autoplot(<Duration>) autoplot(<OnsetsSelected>) autoplot(<Metre>) autoplot(<View>) autoplot(<SplicedView>): Diagnostic plots

autoplot(<SpectralDensityView>): Autoplot a SpectralDensityView S3 object

visualise_sample_splices(): Visualise random splices

plot(<Duration>): Plot a Duration S3 object

plot(<GrangerInteraction>): Plot network diagram of Granger Causalities

plot(<Metre>): Plot a Metre S3 object

plot(<OnsetsSelected>): Plot a OnsetsSelected S3 object

plot(<View>): Plot a View S3 object

plot_average_coherency(): Plot average coherency of a coherency object

plot_average_power(): Plot average power of a wavelet object

plot_cross_spectrum() plot_coherence(): Plot a coherency of a wavelet object

plot_cwt_energy(): Plot cross wavelet energy of a wavelet object

plot_history_xy(): Plot a set of data points over time

plot_influence_diagram(): Plot influence diagram from a GrangerTest object

plot_phase_difference(): Plot a coherency of a wavelet object

plot_power_spectrum(): Plot a power spectrum of a wavelet object

plot_roll_resultant_length(): Plot windowed resultant length

plot_sel_phases(): Comparison plot of phases of a coherency object

plot_wt_energy(): Plot wavelet energy of a wavelet object

motion_gram(): Motion gram of a view object

distribution_dp(): Distribution plot of a view object

velocity_dp(): Velocity plot of a view object

xlim_duration(): Get a ggplot2 xlim object based on duration data

Summary functions

Summary functions

summary(<Duration>): Summarise Duration object

summary(<Metre>): Summarise Metre object

summary(<OnsetsSelected>): Summarise OnsetsSelected object

summary(<Recording>): Summarise Recording object

summary(<View>): Summarise a View object

summary(<analyze.wavelet>): Summarise an analyze.wavelet object

summary(<sel.phases>): Summarises a sel.phases object

summary_onsets(): Summary of difference in onsets

difference_onsets(): Get onset differences

Wavelet functions

Wavelet functions

compare_ave_cross_power1(): Compare average cross power distribution using a splicing table

compare_ave_power1(): Compare average power distribution using a splicing table

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

compare_avg_power2(): Compare the average power distribution of two SplicedViews using sampling on each segment

calculate_ave_cross_power1(): Calculate average cross power distribution using a splicing table

calculate_ave_power1(): Calculate average power distribution using a splicing table

ave_cross_power_over_splices(): Calculate mean average cross power over splices using a splicing table

ave_cross_power_spliceview(): Get the average cross power on each segment in a SplicedView

ave_power_over_splices(): Calculate mean average power over splices using a splicing table

ave_power_spliceview(): Get the average power on each segment in a SplicedView

analyze_coherency(): Analyze Coherency from View object

analyze_wavelet(): Analyze Wavelet from View object

specgram_plot(): Specgram Plot

spectral_density(): Estimate the spectral density of data points

Granger functions

Granger functions

granger_test(): Granger causality tests applied to a SplicedView

map_to_granger_test(): Map duration object comments to a Granger Test object

ms_condgrangertest(): Test for Conditional Granger Causality

ms_grangertest1(): Test for Granger Causality

ms_grangertest2(): Test for Granger Causality

analyze_coherency(): Analyze Coherency from View object

analyze_wavelet(): Analyze Wavelet from View object