Changes in version 0.11.3 (2026-01-15)                 

URL fixes

  - Fixed two broken URLS.

                       Changes in version 0.11.2                        

Bug fixes

  - Fixed a bug with futile.logger that caused errors when using the
    package in Shiny apps.

                       Changes in version 0.11.1                        

Bug fixes

  - Added extended check in aggregate_nowatch_data to not only check for
    the presence of activity (ACT) data, but also other common datasets
    like HR and TEMP. The check for ACT only caused too many false
    positives, as the ACT data can't be expected to always be present in
    exports.

                       Changes in version 0.11.0                        

New features

  - Added new function to read data from Nowatch: read_nowatch(). This
    function will return a list of dataframes with the data from the
    Nowatch. Both a zipfile and a folder are accepted as input. This
    function is intended for aggregated data, as the Nowatch does not
    provide raw data.
  - Added reading of aggregated data from Embrace Plus by adding a type
    argument in read_embrace_plus(). This argument can be set to raw or
    aggregated to read the raw or aggregated data from the Embrace Plus.
  - read_embrace_plus() gains additional argument folder to choose the
    folder where the data is stored. This prevents the user to have to
    navigate to compress the files before using this function. It is
    still possible to use a zip file as input with the zipfile argument.
  - aggregate_data() and friends (aggregate_e4_data(),
    aggregate_embrace_plus_data(), aggregate_nowatch()) now have a
    interval argument. It defaults to "1 min", but can be changed if
    desired.

                       Changes in version 0.10.0                        

New features

  - Added read_and_process_embrace_plus() to read and process data from
    the Embrace Plus. This aligns with the read_and_process_e4()
    function for the E4.
  - Made general rbind_data() and aggregate_data() functions, which
    makes it easier to on-board other devices in the future. In the
    future, these functions will also be preferred to functions like
    rbind_e4() and aggregate_e4_data(). Currently these functions are
    wrappers around the more general functions, to ensure backwards
    compatibility.

Improvements

  - Updated read_embrace_plus() to make the outcome more consistent with
    the E4. Instead of the timestamp column, the column is now named
    DateTime, and also the columns called values are renamed to align
    with E4 (e.g. TEMP instead of values).

                        Changes in version 0.9.0                        

New features

  - Added a function to read in data from the Empatica Embrace Plus:
    read_embrace_plus(). This function will return a list of dataframes
    with the data from the Embrace Plus.

                        Changes in version 0.8.3                        

Notes

  - This is the fourth release of a package that contains tools to read
    and convert wearables data.

New features

  - Added functions to handle empty IBI files for the Empatica E4.
  - ibi_analysis() New version of ibi_analysis function: This function
    is an updated approach for the analysis of (IBI) data.
  - Fixed a note on the join_eda_bin function.

                        Changes in version 0.8.2                        

Changes

  - Added a function to cut files in intervals over a time period.
  - Set the threshold for peak detection to .005 in accordance with de
    Looff et al. (2019).
  - Updated join_eda_bin: sometimes the quality_flag received NA if the
    function did not floor the date properly.