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Add a new input argument use_snapshot_to_check
to
mims_unit()
to configure the data used to check duplicated
timestamps.
Enable has_ts
argument in
import_actigraph_csv()
and
import_actigraph_csv_chunked()
functions. Now the
timestamps will be computed based on the sampling rate and start time in
the actigraph csv header.
mims_unit()
. Use diff
function to accelerate
the computation (@vincentvanhees).rest_on_table
sample data to remove duplicated
timestamps in it.import_actigraph_csv()
and
import_actigraph_csv_chunked()
functions no longer support
has_ts
flag. Users should always ensure input data have
timestamps in the first column. Note that for versions
<=0.9.2
, always make sure the input raw accelerometer
data includes timestamps in the first column and set has_ts
to TRUE when using import_actigraph_csv()
and
import_actigraph_csv_chunked()
functions to avoid a known
bug.export_to_actilife()
and
conceptual_diagram
vignette to be compatible with newer
versions of readr
and plyr
packages.mims_unit()
functions in a shiny app.shiny_app()
to start a local shiny app
that allows users to load local files to compute mims unit values and
provides an interactive graph to view the computed values.vignette("datasets")
.import_mhealth_csv()
.has_ts
to False
when there are
only three columns in the input data in
import_actigraph_csv()
.custom_mims_unit()
.extrapolate()
and mims_unit()
.import_actigraph_csv_chunked()
.edge_case
and
rest_on_table
.actigraph_timestamped.csv
.import_actigraph_csv_chunked()
and
import_mhealth_csv_chunked()
to support loading large csv
files in chunks. See issue #11.mims_unit_from_files()
to support large input files.vector_magnitude()
and
sum_up()
functions.show_progress
is discarded in top-level
mims_unit()
functions. Use use_gui_progress
instead.mims_unit()
functions.
Use show_progress
to control whether to show progress bar
during computation.stringr
namespace before str_detect.mims_unit_from_files()
.generate_interactive_plot()
.MIMSunit-dataset-shaker
as submodule.renv
for dependency management.mims_unit()
.sensor_orientations()
is Added as an entry function to
compute sensor orientations.mims_unit()
is simplified to not allow customization on
parameters.mims_unit()
is now custom_mims_unit()
,
which allows full tuning of algorithm parameters.extrapolate.R
,
interpolate.R
and simulate_data.R
.crop_grange()
is now cut_off_signal()
make_new_data()
is now
simulate_new_data()
extrapolate.data.frame()
is now
extrapolate()
extrapolate()
is now
extrapolate_single_col()
NEWS.md
file to track changes to the
package.import_data.R
file.import_actigraph_raw()
is now
import_actigraph_csv()
import_actigraph_count()
is now
import_actigraph_count_csv()
import_biobank_enmo()
is now
import_enmo_csv()
import_activpal_raw()
is now
import_activpal3_csv()
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.