2024-11-13
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.2024-04-18
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.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.2024-02-27
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.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.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
).2024-01-30
read_embrace_plus()
. This function will return a list of dataframes with the data from the Embrace Plus.2024-01-12
This is the fourth release of a package that contains tools to Read and Convert Wearables Data.
ibi_analysis()
New version of ibi_analysis function: This function is an updated approach for the analysis of (IBI) data.2022-03-01
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