Function reference • actR

All functions
`View(<default>)`	Default method for View
`View(<excursion>)`	Modify view for excursions
`View(<shift>)`	Modify view for shifts
`actR_ggtheme()`	Define a plot theme for actR
`ar1noise()`	AR(1) noise
`calculateMultiTestSignificance()`	Calculate the significance of multiple tests
`detectExcursion()`	Detect an excursion in a timeseries
`detectExcursionCore()`	Detect excursion - core functionality
`detectExcursionSlidingWindow()`	Detect an excursion in many timeseries
`detectMultipleExcursions()`	Detect an excursion in many timeseries
`detectShift()`	Detect a shift in the mean and/or variance of a dataset
`detectShiftCore()`	Detect a shift in a single time-value pair of paleodata
`distanceGrid()`	Distance from grid cells to TS objects
`geob7926_2`	Kim et al. GeoB7926-2 Temperature record, with age and paleo ensembles
`getAllExcursionTimes()`	Get all excursion times from an output
`getAllTimes()`	get the times from a single eventDetection object
`getNulls()`	Title
`great_basin`	Salzer et al. Great basin tree ring record
`kdePval()`	Use a kde to estimate pvalue
`linearRamp()`	Linear ramp
`makeExcursion()`	Build a synthetic LiPD-timeseries-tibble with an excusrion
`makeShift()`	Build a synthetic LiPD-timeseries-tibble with a shift in mean
`maxConsecutive()`	Maximum number of consecutive values in a vector
`ngrip`	NGRIP Ice-core d18O record
`odp658c`	deMenocal et al. ODP 658C Marine Sediment record
`palmyra`	Cobb et al. Palmyra coral d18O record
`plot(<excursion>)`	Plot an excursion with uncertainties
`plot(<excursionCore>)`	Plot a basic excursion without propagated uncertainty
`plot(<shift>)`	Plot mean or variance shifts, with uncertainties and null hypothesis testing
`plot(<shiftCore>)`	Plot mean or variance shifts, with uncertainties and null hypothesis testing
`plotDataDensity()`	Data Coverage Plot
`plotExcursion()`	Plot an excursion with uncertainties
`plotExcursionCore()`	Plot a basic excursion without propagated uncertainty
`plotExcursionSliding()`	Plot a timeseries result of sliding
`plotNullHistogram()`	Plot a histogram of null hypothesis and KDE results
`plotSectionMeans()`	Plot a shift in mean or variance
`plotShift()`	Plot mean or variance shifts, with uncertainties and null hypothesis testing
`plotShiftCore()`	Plot a shift in mean or variance
`plotSignificance()`	plot results of spatialSigTest()
`prepareInput()`	Prepare input for actR detection methods
`print(<excursion>)`	Print Excursion
`print(<shift>)`	Print shift
`propagateUncertainty()`	Explore uncertainty space on abscissa or ordinate and propagate of any of actR's change functions
`pseudoShifts`	A synthetic example of shifts in mean statee for testing and illustration, with and without age ensembles
`spatialSigTest()`	aggregate excursion tests spatially
`summarizeChangepointMeanChanges()`	Summarize changepoint mean changes
`summarizeEventProbability()`	Summarize the shift detection results using a uniform bin step
`summary(<excursion>)`	Summarize Excursion Output
`summary(<shift>)`	Summarize shift output
`summaryExcursion()`	Summarize Excursion Output
`summaryShift()`	Summarize shift output
`surrogateDataFun()`	Use the write function from rEDM depending on the version
`testNullHypothesis()`	Detect excursions in synthetic datasets that mimic a real on
`viewSafely()`	viewSafely

Reference

All functions