ts_discrete: Discrete representation

In FredHasselman/casnet: A Toolbox for Studying Complex Adaptive Systems and Networks

Discrete representation

Description

Return a discrete representation of y by binning the observed values and returning the transfer probabilities.

Usage

ts_discrete(y, nbins = ceiling(2 * NROW(y)^(1/3)), keepNA = TRUE)

Arguments

y	Numeric vector or time series to be discretised.
nbins	Number of bins to use for calculating transfer probabilities (default = ceiling(2*length(y)^(1/3)))
keepNA	If TRUE, any NA values will first be removed and later re-inserted into the discretised time series.

Value

A discretised version of y

See Also

Other Time series operations: ts_center(), ts_changeindex(), ts_checkfix(), ts_detrend(), ts_diff(), ts_duration(), ts_embed(), ts_integrate(), ts_levels(), ts_peaks(), ts_permtest_block(), ts_permtest_transmat(), ts_rasterize(), ts_sd(), ts_slice(), ts_slopes(), ts_standardise(), ts_sumorder(), ts_symbolic(), ts_trimfill(), ts_windower()

FredHasselman/casnet documentation built on April 20, 2024, 3:05 p.m.