Brown2reference         Add Brown et al. (2022) reference illuminance
                        to a dataset
Brown_check             Check whether a value is within the recommended
                        illuminance/MEDI levels by Brown et al. (2022)
Brown_cut               Create a state column that cuts light levels
                        into sections by Brown et al. (2022)
Brown_rec               Set the recommended illuminance/MEDI levels by
                        Brown et al. (2022)
Circular2Time           Convert circular time columns to hms
Datetime2Time           Convert Datetime columns to Time columns
Datetime_breaks         Create a (shifted) sequence of Datetimes for
                        axis breaks
Datetime_limits         Find or set sensible limits for Datetime axis
add_Date_col            Create a Date column in the dataset
add_Time_col            Create a Time-of-Day column in the dataset
add_states              Add states to a dataset based on groups and
                        start/end times
aggregate_Date          Aggregate dates to a single day
aggregate_Datetime      Aggregate Datetime data
alphaopic.action.spectra
                        Alphaopic (+ photopic) action spectra
barroso_lighting_metrics
                        Circadian lighting metrics from Barroso et al.
                        (2014)
bright_dark_period      Brightest or darkest continuous period
centroidLE              Centroid of light exposure
count_difftime          Counts the Time differences (epochs) per group
                        (in a grouped dataset)
create_Timedata         create_Timedata
cut_Datetime            Create Datetime bins for visualization and
                        calculation
data2reference          Create reference data from other data
disparity_index         Disparity index
dominant_epoch          Determine the dominant epoch/interval of a
                        dataset
dose                    Calculate the dose (value·hours)
dst_change_handler      Handle jumps in Daylight Savings (DST) that are
                        missing in the data
dst_change_summary      Get a summary of groups where a daylight saving
                        time change occurs.
duration_above_threshold
                        Duration above/below threshold or within
                        threshold range
durations               Calculate duration of data in each group
exponential_moving_average
                        Exponential moving average filter (EMA)
extract_clusters        Find and extract clusters from a dataset
extract_gaps            Extract gap episodes from the data
extract_metric          Add metrics to extracted sSummary
extract_states          Extract summaries of states
filter_Datetime         Filter Datetimes in a dataset.
filter_Datetime_multiple
                        Filter multiple times based on a list of
                        arguments.
filter_Time             Filter Times in a dataset.
format_coordinates      Format coordinates as a readable string
frequency_crossing_threshold
                        Frequency of crossing light threshold
gain.ratio.tables       Gain / Gain-ratio tables to normalize counts
gap_finder              Check for and output gaps in a dataset
gap_handler             Fill implicit gaps in a light logger dataset
gap_table               Tabular summary of data and gaps in all groups
gapless_Datetimes       Create a gapless sequence of Datetimes
gg_day                  Create a simple Time-of-Day plot of light
                        logger data, faceted by Date
gg_days                 Create a simple datetime plot of light logger
                        data, faceted by group
gg_doubleplot           Double Plots
gg_gaps                 Visualize gaps and irregular data
gg_heatmap              Plot a heatmap across days and times of day
gg_overview             Plot an overview of dataset intervals with
                        implicit missing data
gg_photoperiod          Add photoperiods to gg_day() or gg_days() plots
gg_state                Add states to gg_day() or gg_days() plots
gg_states               Add states to gg_day() or gg_days() plots
has_gaps                Does a dataset have implicit gaps
has_irregulars          Does a dataset have irregular data
import_Dataset          Import a light logger dataset or related data
import_Statechanges     Import data that contain 'Datetimes' of
                        'Statechanges'
import_adjustment       Adjust device imports or make your own
interdaily_stability    Interdaily stability (IS)
interval2state          Adds a state column to a dataset from interval
                        data
intradaily_variability
                        Intradaily variability (IV)
join_datasets           Join similar Datasets
ll_import_expr          Get the import expression for a device
log_zero_inflated       Add a defined number to a numeric and log
                        transform it
mean_daily              Calculate mean daily metrics from daily summary
mean_daily_metric       Calculate mean daily metrics from Time Series
midpointCE              Midpoint of cumulative light exposure.
normalize_counts        Normalize counts between sensor outputs
number_states           Number non-consecutive state occurrences
nvRC                    Non-visual circadian response
nvRC_metrics            Performance metrics for circadian response
nvRD                    Non-visual direct response
nvRD_cumulative_response
                        Cumulative non-visual direct response
period_above_threshold
                        Length of longest continuous period above/below
                        threshold
photoperiod             Calculate photoperiod and boundary times
pulses_above_threshold
                        Pulses above threshold
remove_partial_data     Remove groups that have too few data points
reverse2_trans          Create a reverse transformation function
                        specifically for date scales
sample.data.environment
                        Sample of wearable data combined with
                        environmental data
sample.data.irregular   Sample of highly irregular wearable data
sample_groups           Sample groups from a grouped dataset
sc2interval             Statechange (sc) Timestamps to Intervals
sleep_int2Brown         Recode Sleep/Wake intervals to Brown state
                        intervals
spectral_integration    Integrate spectral irradiance with optional
                        weighting
spectral_reconstruction
                        Reconstruct spectral irradiance from sensor
                        counts
style_time              Style (date)times as times
summarize_numeric       Summarize numeric columns in dataframes to
                        means
summary_table           Light exposure summary table helpers
supported_devices       Get all the supported devices in LightLogR
supported_versions      Get all the supported device-formats in
                        LightLogR
symlog_trans            Scale positive and negative values on a log
                        scale
threshold_for_duration
                        Find threshold for given duration
timing_above_threshold
                        Mean/first/last timing above/below threshold.
