R: Tools to Read and Convert Wearables Data

# Tools to Read and Convert Wearables Data

## Documentation for package ‘wearables’ version 0.11.3

- DESCRIPTION file
- Package NEWS
- Package README

## 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