Package: wearables 0.8.1

Peter de Looff

wearables: Tools to Read and Convert Wearables Data

Package to read Empatica E4 data, perform several transformations, perform signal processing and analyses, including batch analyses.

Authors:Peter de Looff [aut, cre], Remko Duursma [aut], Saskia Koldijk [aut], Kees de Schepper [aut], Matthijs Noordzij [ctb], Natasha Jaques [ctb], Sara Taylor [ctb]

wearables_0.8.1.tar.gz
wearables_0.8.1.tar.gz(r-4.5-noble)wearables_0.8.1.tar.gz(r-4.4-noble)
wearables_0.8.1.tgz(r-4.4-emscripten)wearables_0.8.1.tgz(r-4.3-emscripten)
wearables.pdf |wearables.html✨
wearables/json (API)

# Install 'wearables' in R:

install.packages('wearables', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

binary_classifier_config - Configuration of the SVM algorithm for binary classification
multiclass_classifier_config - Configuration of the SVM algorithm for ternary classification

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

26 exports 1 stars 0.00 score 119 dependencies 16 scripts 233 downloads

Last updated 3 years agofrom:3d917a4efe. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 28 2024
R-4.5-linux	OK	Aug 28 2024

Exports:aggregate_e4_data as_time as_timeseries batch_analysis calculate_RMSSD char_clock_systime choose_between_classes compute_features2 create_e4_output_folder e4_filecut_intervals filter_createdir_zip filter_e4data_datetime find_peaks ibi_analysis pad_e4 plot_artifacts predict_binary_classifier predict_multiclass_classifier prepend_time_column process_e4 process_eda rbind_e4 read_and_process_e4 read_e4 upsample_data_to_8Hz write_processed_e4

Dependencies:abind askpass backports base64enc BH bslib cachem callr checkmate cli colorspace cpp11 crosstalk curl data.table desc digest distributional dplyr evaluate fansi farver fastmap fontawesome formatR Formula fs futile.logger futile.options generics ggplot2 glue gridExtra gtable highr htmltools htmlwidgets httr inline isoband jquerylib jsonlite kernlab knitr labeling lambda.r later lattice lazyeval lifecycle lomb loo lubridate magrittr MASS Matrix matrixStats memoise mgcv mime multitaper munsell nlme nonlinearTseries numDeriv openssl padr pillar pkgbuild pkgconfig plotly posterior pracma processx promises ps purrr quadprog quantmod QuickJSR R.methodsS3 R.oo R.utils R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel RHRV rlang rmarkdown rstan sass scales signal StanHeaders stringi stringr sys tensorA tibble tidyr tidyselect timechange tinytex tseries TTR utf8 varian vctrs viridisLite waveslim withr xfun xts yaml zoo

Citation

Readme and manuals

Help Manual

Help page	Topics
Addition of chunk groups	add_chunk_group
Aggregate E4 data into 1min timesteps	aggregate_e4_data
as_time	as_time
Convert an E4 data stream to a timeseries	as_timeseries
Batch analysis	batch_analysis
Configuration of the SVM algorithm for binary classification	binary_classifier_config
RMSSD calculation	calculate_RMSSD
Force character datetime variable ("yyyy-mm-dd hh:mm:ss") to system timezone	char_clock_systime
Choice between two classes	choose_between_classes
Amplitude features	compute_amplitude_features
Derivative features	compute_derivative_features
Features computation	compute_features2
Wavelet coefficients	compute_wavelet_coefficients
Wavelet decomposition	compute_wavelet_decomposition
Output folder	create_e4_output_folder
Filter datasets for a Datetime start + end	e4_filecut_intervals
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_createdir_zip
Filter all four datasets for a Datetime start + end	filter_e4data_datetime
Function to find peaks of an EDA datafile	find_peaks
Peak amplitude	get_amp
Get the eda apex of the signal	get_apex
Decay time	get_decay_time
First derivative	get_derivative
Electrodermal activity signal derivative	get_eda_deriv
Half peak amp	get_half_amp
Half rise time	get_half_rise
Decaying peaks	get_i_apex_with_decay
SVM kernel	get_kernel
Maximum derivative	get_max_deriv
Peak end	get_peak_end
Peak end times	get_peak_end_times
Start of peaks	get_peak_start
Peak start times	get_peak_start_times
Rise time of peaks	get_rise_time
Peak width	get_SCR_width
Second derivative	get_second_derivative
IBI analysis	ibi_analysis
Max value per segment of length n	max_per_n
Configuration of the SVM algorithm for ternary classification	multiclass_classifier_config
pad_e4	pad_e4
Artifact plots	plot_artifacts
Binary classifiers	predict_binary_classifier
Ternary classifiers	predict_multiclass_classifier
prepend_time_column	prepend_time_column
Show class of object	print.e4data
Process EDA data	process_eda
Row-bind E4 datasets	rbind_e4
Read, process and feature extraction of E4 data	process_e4 read_and_process_e4
Read E4 data	read_e4
Small peaks removal	remove_small_peaks
Upsample EDA data to 8 Hz	upsample_data_to_8Hz
Write CSV files of the output	write_processed_e4

Package: wearables 0.8.1

wearables: Tools to Read and Convert Wearables Data

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)