import functions will now give a warning message about identical observations in the provided data files, stop the import process and return a tibble with the duplicate rows. Through the remove_duplicates parameter, the user can decide to automatically remove these duplicates during import. Note: identical observations refers to identical rows when disregarding the filename.added support for OcuWEAR devices
added support for MotionWatch 8 devices #32
added support for LIMO devices
added support for GENEActiv devices, when data was preprocessed with the GGIR package. The function import$GENEActiv_GGIR() takes the GGIR output and imports it with LightLogR naming schemes. #27
release on CRAN!
changed the supported.devices list to a function supported_devices() instead, so the documentation automatically updates with the list of supported devices. Similarly, ll_import_expr is now ll_import_expr().
added support for the Meta VEET device for visual experience measurements
added support for the Kronowise device
added support for the MPI melanopiQ Circadian Eye (Prototype)
rewrote the import function for Actiwatch_Spectrum, as the sample file the original was based off, had specific formatting to German standards. Now, the German version can still be called through Actiwatch_Spectrum_de, wheras the main function refers to the english/international format.
updated the landing page for the website with a list of supported devices and a table of metrics
small changes to documentation
Changes to the tutorial articles on the website
Integration of a community survey on the website and Github Readme.
bright_dark_period() now maintains the date when looping the data.
Added articles on Import & Cleaning, Metrics, and Visualizations to the website.
Added the option for more print rows of observation intervals during import.
Added the option to set a length for the dataset starting from the end in filter_Datetime() and family.
Added the function aggregate_Date() to aggregate long datasets to one day per group.
New function gg_doubleplot() for ... well, double plots.
added import functions for nanoLambdaand LightWatcher devices
new Logo!
fixed bug in interval2state() that would dismiss the first state if it starts before the actual data
fixed a bug in interval2state() that would add other columns then the State column present in the interval dataset to the output dataset, but leave them empty. Added an example that shows how to add multiple columns to the output dataset correctly.
in aggregate_Datetime(), added the option to set the dominant.epoch, i.e., the most common interval, as the unit parameter, to effectively deal with irregular data.
Added the functions dst_change_summary() and dst_change_handler() to detect and deal with Daylight Savings. The functionality is also integrated into the import functions, so that a user can automatically apply it during the import process.
Added Steffen Hartmeyer as a collaborator, who added a number of light metrics from the lightdosimetry package.
Added the import_adjustment() function for more flexibility when importing light logger data that does not conform to the standard format. This goes hand in hand with the ll_import_expr list that contains specific expressions for all supported devices.
lots of bug fixes and improvements
Bugfix for LiDo import
Added import support for new devices: LiDo, DeLux, and Speccy
Removed minor inconsistencies in naming conventions. Also, all imported columns will have syntactic naming now
Added an option to all gap functions, to extend the gapless Datetime range to full days.
Exports the up to now internal function count_difftime() that is the basis for dominant_epoch(). But whereas the latter gets only the most common epoch, count_difftime() returns a table with the counts of all epochs. This is useful in conjunction with gap_finder(), to check the distribution of data intervals.
Added the gg_days() function to visualize multiple days of data in a single plot. Alongside come two helper functions, Datetime_limits() and Datetime_breaks(), to set the limits and breaks of the x-axis.
Added the filter_Datetime_multiple() function to filter for multiple Datetime ranges depending on certain conditions, e.g. different filter cutoffs for different participants. It wraps around filter_Datetime() or filter_Date().
Reworked the internals of the light logger data import functions. They now use a more straightforward function factory approach. For users the only visible change it that device specific functions now have the form import$device() instead of the old import.device().
Added the symlog_trans() function from a post on stack overflow. This function leads to a better visualization of light logger data, as a logarithmic transformation is necessary, but values of 0 are common. The function was integrated as a default for gg_day() and will likely be the basis of upcoming visualization functions.
Added the aggregate_Datetime() function to aggregate data to a given time interval.
Added the gg_overview() function to get a sense for the timeframe of measurement data.
Added the family of regularize functions to find and deal with implicit missing data. These functions include dominant_epoch(), gapless_Datetimes(), gap_handler(), and gap_finder().
A ton of updates to documentation, unit tests, and bug fixes.
Added Unit tests and documentation for all new functions.
To filter_Datetime() and filter_Date() added the option to filter for group specific dates.
Added the family of functions around States and Reference to import, process, and add states to light logger data, like sleep/wake times, wear times, or other data. This family includes import_Statechanges(), sc2interval(), ìnterval2state(), data2reference(), sleep_int2Brown(), Brown_check(), Brown_rec(), and Brown2reference().
Added the Article/Vignette "What´s in a Day" to demonstrate the LightLogR workflow.
Added the convenience function create_Timedata() to create a Time-of-Day column in datasets.
Added the family of filter_Datetime(), filter_Date() and filter_Time() functions to easily filter datasets.
Added unit tests for the first functions.
Added several helper functions to work with states like sleep or wear times.
Added an automatic ID creation at import and streamlined the import functions.
Added the function join_datasets to combine imported datasets with sensible constraints.
Added major grid marks for the y-axis.
Added a message when using start or end dates to make it clear, that only the Date portion of the input will be used.
Changed the behavior, when there is already a Day.data column present in the data. It will only create a new column if none is present, otherwise it will use the existing column for faceting (after factorization)
Added the option to create an interactive plot by feeding the plot to the [plotly] package.
NEWS.md file to track changes to the package.