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wearables  

Tools to Read and Convert Wearables Data
View on CRAN: Click here


Download and install wearables package within the R console
Install from CRAN:
install.packages("wearables")

Install from Github:
library("remotes")
install_github("cran/wearables")

Install by package version:
library("remotes")
install_version("wearables", "0.11.3")



Attach the package and use:
library("wearables")
Maintained by
Peter de Looff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-30
Latest Update: 2021-12-20
Description:
Package to read Empatica E4 data, perform several transformations, perform signal processing and analyses, including batch analyses.
How to cite:
Peter de Looff (2021). wearables: Tools to Read and Convert Wearables Data. R package version 0.11.3, https://cran.r-project.org/web/packages/wearables. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.6.2 (2021-06-30 17:20), 0.8.1 (2021-12-20 16:20), 0.11.3 (2026-01-15 13:00)
Other packages that cited wearables R package
View wearables citation profile
Other R packages that wearables depends, imports, suggests or enhances
Complete documentation for wearables
Functions, R codes and Examples using the wearables R package
Some associated functions: add_chunk_group . aggregate_e4_data . as_time . as_timeseries . batch_analysis . binary_classifier_config . calculate_RMSSD . char_clock_systime . choose_between_classes . compute_amplitude_features . compute_derivative_features . compute_features2 . compute_wavelet_coefficients . compute_wavelet_decomposition . create_e4_output_folder . e4_filecut_intervals . filter_createdir_zip . filter_e4data_datetime . find_peaks . get_SCR_width . get_amp . get_apex . get_decay_time . get_derivative . get_eda_deriv . get_half_amp . get_half_rise . get_i_apex_with_decay . get_kernel . get_max_deriv . get_peak_end . get_peak_end_times . get_peak_start . get_peak_start_times . get_rise_time . get_second_derivative . ibi_analysis . max_per_n . multiclass_classifier_config . pad_e4 . plot_artifacts . predict_binary_classifier . predict_multiclass_classifier . prepend_time_column . print.e4data . process_eda . rbind_e4 . read_and_process_e4 . read_e4 . remove_small_peaks . upsample_data_to_8Hz . write_processed_e4 . 
Some associated R codes: aggregate_e4_data.R . artifact_detection.R . as_timeseries.R . batch_analysis.R . cut_e4_data_intervals.R . e4_methods.R . filter_e4data_datetime.R . ibi_analysis.R . ibi_analysis_rmssd_time_period.R . load_files.R . peak_detection.R . rbind_e4.R . read_and_proces_e4.R . read_e4.R . utils.R .  Full wearables package functions and examples
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