add_chunk_group | Addition of chunk groups |
aggregate_data | Aggregate data into 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... |
choose_between_classes | Choice between two classes |
compute_amplitude_features | Amplitude features |
compute_derivative_features | Derivative features |
compute_features2 | Compute Features for SVM |
compute_wavelet_coefficients | Wavelet coefficients |
compute_wavelet_decomposition | Wavelet decomposition |
create_e4_output_folder | Output folder |
create_empty_freq_list | Create an Empty Frequency List |
create_empty_time_list | Create an Empty Time List |
e4_data | Small example dataset for e4 |
e4_filecut_intervals | Filter datasets for a Datetime start + end |
filter_createdir_zip | Function to filter the data object based on the time period... |
filter_datetime | Filter data according to a datetime start and end |
find_peaks | Function to find peaks of an EDA datafile |
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_SCR_width | Peak width |
get_second_derivative | Second derivative |
ibi_analysis | IBI analysis version 2 |
ibi_analysis_old | IBI analysis (Old version) |
join_eda_bin | Join EDA Binary Classifier Output to Dataset |
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_data | Row-bind datasets |
rbind_e4 | Row-bind E4 datasets |
rbind_embrace_plus | Row-bind Embrace Plus datasets |
rbind_nowatch | Row-bind NOWATCH datasets |
read_and_process_e4 | Read, process and feature extraction of E4 data |
read_and_process_embrace_plus | Read, process and feature extraction of Embrace Plus data |
read_e4 | Read E4 data |
read_embrace_plus | Read Embrace Plus data |
read_nowatch | Read Nowatch 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 |
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