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)
Value
dfts / as.dfts: dfts object
is.dfts: Boolean indicating if x is a dfts object or not
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.