Changelog • MIMSunit

Remove “matlab” dependency.

BREAKING CHANGES

Remove “remove_average” and “bessel” filtering functions.

Resolve CRAN release ERROR.

BREAKING CHANGES

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.

Bug fixes

Check duplicated timestamps and raise error when calling mims_unit(). Use diff function to accelerate the computation (@vincentvanhees).
Fix the rest_on_table sample data to remove duplicated timestamps in it.

Documentation

Update FAQ about the duplicated timestamps problem.

BREAKING CHANGES

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.

Bug fixes

Remove warnings from dplyr > 1.0.0.
The first column of the input data.frame does not have to be HEADER_TIME_STAMP. #29.

Refactor

Refactor export_to_actilife() and conceptual_diagram vignette to be compatible with newer versions of readr and plyr packages.

Development

Update development package versions

Documentation

Add back man pages to the github development version.
Fix invalid urls in any documentations.

Improvement

Optimize memory usage when computing MIMS unit values. @muschellij2
Reduce sample data size to accelerate example execution time.
Support shiny progress indicator when running mims_unit() functions in a shiny app.

Documentation

Fix cross-package references.

Features

Added a function 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.

Improvement

Optimize memory usage when computing MIMS unit values.

Documentation

Added datasets article vignette("datasets").

Bug fixes

Check column existence before coverting data type in import_mhealth_csv().
Quick failure if dynamic_range is not specified.
Auto set has_ts to False when there are only three columns in the input data in import_actigraph_csv().

Features

Sort timestamps of input data before computing mims unit values in custom_mims_unit().

Documentation

Indicate columns cannot be reordered in the argument description of extrapolate() and mims_unit().

CI

Add appveyor for non-Github actions testing

Bug fixes

Make sure codes do not change options.
Fix timestamps in import_actigraph_csv_chunked().

New features

Add two new sample data edge_case and rest_on_table.
Add one new external sample data actigraph_timestamped.csv.

Improvement

Use tempfile in examples.

Documentation

Remove unused vignettes.
Add documentation for the new sample data.
Use internal data for all vignettes.

New features

New import data functions import_actigraph_csv_chunked() and import_mhealth_csv_chunked() to support loading large csv files in chunks. See issue #11.

Improvement

Use chunked import functions in mims_unit_from_files() to support large input files.

Bug fixes

Column naming in vector_magnitude() and sum_up() functions.
Crashing bug in plotting functions.
Chances of incorrect parsing of time zone during interpolation and extrapolation.

Documentation

Add examples to functions.

Minor changes

show_progress is discarded in top-level mims_unit() functions. Use use_gui_progress instead.

BREAKING CHANGES

Minimal R version requirement is bumped to 3.6.0.

Improvement

Refine vignettes codes and texts.
Better progress bar support for mims_unit() functions. Use show_progress to control whether to show progress bar during computation.

Bug fixes

Fix missing “testthat” dependency.
Add stringr namespace before str_detect.

Dependency changes

Remove dependency on “akima”. This package is not used.

Breaking changes

Remove dependency on “mHealthR” package.
Add top-level API function mims_unit_from_files().
Add new plotting function generate_interactive_plot().

Bug fixes

Fix crashing error in plotting functions when running vignettes.

Bug fixes

MIMSunit axial values are now passed through the truncation algorithm before computing the axial sum.

Add dev dependencies to renv.

Breaking changes

Add two datasets for experiment results (see this article).
Move MIMSunit R project one level down to a subdirectory to better support git submodules.
Add MIMSunit-dataset-shaker as submodule.

Exclude data from package building.
Exclude inst scripts, figures, tables and data from package building.
Remove unused files in R folder.

Breaking changes

Use renv for dependency management.
CRAN ready.

Refactor mims_unit().

Breaking changes

API changes for the following functions. Please refer to the documentations for the details.
- sensor_orientations() is Added as an entry function to compute sensor orientations.
- mims_unit() is simplified to not allow customization on parameters.
- Old mims_unit() is now custom_mims_unit(), which allows full tuning of algorithm parameters.

Refactor functions in extrapolate.R, interpolate.R and simulate_data.R.

Breaking changes

API changes for the following functions. Please refer to the documentations for the details.
- 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()

Added a NEWS.md file to track changes to the package.
Refactor functions in import_data.R file.

Breaking changes

API changes for the following functions. Please refer to the documentations for the details.
- 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()