dfts: dfts Objects

In fChange: Functional Change Point Detection and Analysis

dfts Objects

Description

The discrete functional time series (dfts) object is the main object in fChange. It stores functional data for use in functions throughout the package. Common functions have been extended to dfts. Details of the storage is best left to individual parameters descriptions and exploring examples.

Usage

dfts(
  X,
  name = NULL,
  labels = NULL,
  fparam = NULL,
  season = 1,
  inc.warnings = TRUE
)

as.dfts(X)

is.dfts(X)

Arguments

X	Data to convert into dfts object. Options include: data.frame, matrix, array, fda::fd, fda.usc::fdata, rainbow::fts (used in ftsa), rainbow::fds (used in ftsa), funData::funData, and dfts. For a matrix, each column is a unique observation, at the rows are the observed intra-observation (i.e. resolution) points.
name	String for the name of the object. Defaults to the name of the input variable.
labels	Labels for the observations. Defaults to the column names or names inside of the object X.
fparam	Vector of numerics indicating the points of evaluation for each observation. Defaults to even spacing on [0,1], or those included in the object. These may be unevenly spaced.
season	Numeric indicating the seasonal period in the data.
inc.warnings	Boolean on if warnings should be given. Defaults to TRUE.

Value

dfts / as.dfts: dfts object

is.dfts: Boolean indicating if x is a dfts object or not

Examples

bm <- dfts(generate_brownian_motion(100, c(0, 0.1, 0.25, 0.5, 1)))

result <- dfts(electricity)
result <- as.dfts(electricity)
result <- is.dfts(electricity)

fChange documentation built on June 21, 2025, 9:08 a.m.