Function reference • midiblender

All functions

add_bars_to_copy_df(): Add Bars to Copy of Dataframe

add_control_change(): Add control_change message to df

add_meta_end_of_track(): Add end_of_track message to df

add_meta_tempo(): Add set_tempo message to df

add_meta_time_sig(): Add time_signature message to df

add_meta_track_name(): Add track name message to df

add_midi_message(): Add a midi message to a midi_df

add_note_off(): Add note_off message to df

add_note_on(): Add note_on message to df

add_program_change(): Add program_change message to df

bresenham_euclidean(): Bresenham's algorithm for Euclidean rhythm generation

copy_and_extend_midi_df(): copy_and_extend_midi_df

copy_midi_df_track(): copy single track df within midi_df

create_empty_midi_df(): Initialize a midi_df tibble with column headers

create_midi_matrix(): create_midi_matrix function

feature_vector_to_matrix(): Convert feature vector to matrix

get_feature_probs(): Get Feature Probabilities

get_mean_note_density(): Compute the mean note density of a midi matrix

get_midi_meta_df(): get meta messages from a track_df

make_metric_tibble(): Create a dataframe with helpful timing metrics from a midi_df

mangle_note_wiggler(): Randomly offset individual notes by a vector of semitones

mangle_positive_timing(): Mangle Positive Timing Function

mangle_transpose(): Transpose MIDI Data

matrix_to_midi_time(): Convert a matrix representation of a MIDI sequence back to MIDI timings

matrix_to_midi_track(): matrix_to_midi_track function

midi_df_to_matrix(): Convert MIDI Data Frame to piano roll Matrix

midi_notes(): Create a tibble of midi note information

midi_to_object(): midi_to_object Function

new_features_from_probs(): Create New Features Based on Probabilities

reshape_piano_roll(): Reshape Piano Roll Matrix

set_midi_tempo_meta(): set midi tempo in a meta messages df

set_midi_tempo_midi_df(): set midi tempo in a midi_df

split_meta_df(): Split a meta_df into list of top and end messages