add_chunk_group         Addition of chunk groups
aggregate_e4_data       Aggregate E4 data into 1min timesteps
as_time                 as_time
as_timeseries           Convert an E4 data stream to a timeseries
batch_analysis          Batch analysis
binary_classifier_config
                        Configuration of the SVM algorithm for binary
                        classification
calculate_RMSSD         RMSSD calculation
char_clock_systime      Force character datetime variable ("yyyy-mm-dd
                        hh:mm:ss") to system timezone
choose_between_classes
                        Choice between two classes
compute_amplitude_features
                        Amplitude features
compute_derivative_features
                        Derivative features
compute_features2       Features computation
compute_wavelet_coefficients
                        Wavelet coefficients
compute_wavelet_decomposition
                        Wavelet decomposition
create_e4_output_folder
                        Output folder
e4_filecut_intervals    Filter datasets for a Datetime start + end
filter_createdir_zip    Function to filter the data object based on the
                        time period and intervals that are needed for
                        the files to be cut. The function also creates
                        identical Empatica E4 zipfiles in the same
                        directory as where the original zipfile is
                        located.
filter_e4data_datetime
                        Filter all four datasets for a Datetime start +
                        end
find_peaks              Function to find peaks of an EDA datafile
get_SCR_width           Peak width
get_amp                 Peak amplitude
get_apex                Get the eda apex of the signal
get_decay_time          Decay time
get_derivative          First derivative
get_eda_deriv           Electrodermal activity signal derivative
get_half_amp            Half peak amp
get_half_rise           Half rise time
get_i_apex_with_decay   Decaying peaks
get_kernel              SVM kernel
get_max_deriv           Maximum derivative
get_peak_end            Peak end
get_peak_end_times      Peak end times
get_peak_start          Start of peaks
get_peak_start_times    Peak start times
get_rise_time           Rise time of peaks
get_second_derivative   Second derivative
ibi_analysis            IBI analysis
max_per_n               Max value per segment of length n
multiclass_classifier_config
                        Configuration of the SVM algorithm for ternary
                        classification
pad_e4                  pad_e4
plot_artifacts          Artifact plots
predict_binary_classifier
                        Binary classifiers
predict_multiclass_classifier
                        Ternary classifiers
prepend_time_column     prepend_time_column
print.e4data            Show class of object
process_eda             Process EDA data
rbind_e4                Row-bind E4 datasets
read_and_process_e4     Read, process and feature extraction of E4 data
read_e4                 Read E4 data
remove_small_peaks      Small peaks removal
upsample_data_to_8Hz    Upsample EDA data to 8 Hz
write_processed_e4      Write CSV files of the output
