Tools to Read and Convert Wearables Data

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Documentation for package ‘wearables’ version 0.11.3

• DESCRIPTION file.
• Package NEWS.

Help Pages

add_chunk_group	Addition of chunk groups
aggregate_data	Aggregate data into timesteps
aggregate_e4_data	Aggregate data into timesteps
aggregate_embrace_plus_data	Aggregate data into timesteps
aggregate_nowatch_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 system timezone
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 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_datetime	Filter data according to a datetime start and end
filter_e4data_datetime	Filter data according to a datetime start and end
filter_embrace_plus_data_timestamp	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_e4	Read, process and feature extraction of E4 data
process_eda	Process EDA data
process_embrace_plus	Read, process and feature extraction of E4 data
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