cut_inclusive {tidychangepoint} | R Documentation |
Use a changepoint set to break a time series into regions
Description
Use a changepoint set to break a time series into regions
Usage
cut_inclusive(x, tau)
split_by_tau(x, tau)
Arguments
x |
A numeric vector |
tau |
a numeric vector of changepoint indices |
Details
A changepoint set tau
of length k
breaks a time series of length
n
into k+1
non-empty regions.
These non-empty regions can be defined by half-open intervals, starting with
1 and ending with n+1
.
cut_inclusive()
splits a set of indices into a base::factor()
of
half-open intervals
split_by_tau()
splits a time series into a named base::list()
of numeric
vectors
Value
-
cut_inclusive()
abase::factor()
of half-open intervals
-
split_by_tau()
a namedbase::list()
of numeric vectors
Examples
n <- length(CET)
# Return a factor of intervals
cut_inclusive(1:n, tau = pad_tau(c(42, 81, 330), n))
# Return a list of observations
split_by_tau(DataCPSim, c(365, 826))
[Package tidychangepoint version 0.0.1 Index]