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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.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.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).read_embrace_plus(). This function will return a list of
dataframes with the data from the Embrace Plus.ibi_analysis() New version of ibi_analysis function:
This function is an updated approach for the analysis of (IBI)
data.join_eda_bin function.join_eda_bin: sometimes the
quality_flag received NA if the function did not floor the
date properly.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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