LightLogR0.9.2 package

Create a Date column in the dataset

Create Datetime bins for visualization and calculation

Create reference data from other data

Create a (shifted) sequence of Datetimes for axis breaks

Find or set sensible limits for Datetime axis

Convert Datetime columns to Time columns

Calculate duration of data in each group

Filter multiple times based on a list of arguments.

Filter Datetimes in a dataset.

Filter Times in a dataset.

Frequency of crossing light threshold

Plot a heatmap across days and times of day

Import a light logger dataset or related data

Import data that contain Datetimes of Statechanges

Interdaily stability (IS)

Adds a state column to a dataset from interval data

Intradaily variability (IV)

Calculate mean daily metrics from daily summary

Pulses above threshold

Add states to a dataset based on groups and start/end times

Create a Time-of-Day column in the dataset

Aggregate dates to a single day

Aggregate Datetime data

Circadian lighting metrics from Barroso et al. (2014)

Brightest or darkest continuous period

Check whether a value is within the recommended illuminance/MEDI level...

Create a state column that cuts light levels into sections by Brown et...

Set the recommended illuminance/MEDI levels by Brown et al. (2022)

Add Brown et al. (2022) reference illuminance to a dataset

Centroid of light exposure

Counts the Time differences (epochs) per group (in a grouped dataset)

create_Timedata

Disparity index

Determine the dominant epoch/interval of a dataset

Calculate the dose (value·hours)

Handle jumps in Daylight Savings (DST) that are missing in the data

Get a summary of groups where a daylight saving time change occurs.

Duration above/below threshold or within threshold range

Exponential moving average filter (EMA)

Find and extract clusters from a dataset

Extract gap episodes from the data

Add metrics to extracted sSummary

Extract summaries of states

Check for and output gaps in a dataset

Fill implicit gaps in a light logger dataset

Tabular summary of data and gaps in all groups

Create a gapless sequence of Datetimes

Create a simple Time-of-Day plot of light logger data, faceted by Date

Create a simple datetime plot of light logger data, faceted by group

Double Plots

Visualize gaps and irregular data

Plot an overview of dataset intervals with implicit missing data

Add photoperiods to gg_day() or gg_days() plots

Add states to gg_day() or gg_days() plots

Does a dataset have implicit gaps

Does a dataset have irregular data

Adjust device imports or make your own

Join similar Datasets

LightLogR: Process Data from Wearable Light Loggers and Optical Radiat...

Get the import expression for a device

Add a defined number to a numeric and log transform it

Calculate mean daily metrics from Time Series

Midpoint of cumulative light exposure.

Normalize counts between sensor outputs

Number non-consecutive state occurrences

Performance metrics for circadian response

Non-visual circadian response

Cumulative non-visual direct response

Non-visual direct response

Length of longest continuous period above/below threshold

Calculate photoperiod and boundary times

Pipe operator

Remove groups that have too few data points

Create a reverse transformation function specifically for date scales

Statechange (sc) Timestamps to Intervals

Recode Sleep/Wake intervals to Brown state intervals

Integrate spectral irradiance with optional weighting

Reconstruct spectral irradiance from sensor counts

Summarize numeric columns in dataframes to means

Get all the supported devices in LightLogR

Scale positive and negative values on a log scale

Find threshold for given duration

Mean/first/last timing above/below threshold.