tfmethods: Utility functions for 'tf'-objects

In tf: S3 Classes and Methods for Tidy Functional Data

Utility functions for tf-objects

Description

A bunch of methods & utilities that do what they say: get or set the respective attributes of a tf-object.

Usage

tf_arg(f)

tf_evaluations(f)

tf_count(f)

tf_domain(f)

tf_domain(x) <- value

tf_evaluator(f)

tf_evaluator(x) <- value

tf_basis(f, as_tfd = FALSE)

tf_arg(x) <- value

## S3 replacement method for class 'tfd_irreg'
tf_arg(x) <- value

## S3 replacement method for class 'tfd_reg'
tf_arg(x) <- value

## S3 replacement method for class 'tfb'
tf_arg(x) <- value

## S3 method for class 'tfb'
coef(object, ...)

## S3 method for class 'tf'
rev(x)

## S3 method for class 'tf'
is.na(x)

## S3 method for class 'tfd_irreg'
is.na(x)

is_tf(x)

is_tfd(x)

is_reg(x)

is_tfd_reg(x)

is_irreg(x)

is_tfd_irreg(x)

is_tfb(x)

is_tfb_spline(x)

is_tfb_fpc(x)

Arguments

f	an tf object.
x	an tf object.
value	for ⁠tf_evaluator<-⁠: (bare or quoted) name of a function that can be used to interpolate an tfd. Needs to accept vector arguments x, arg, evaluations and return evaluations of the function defined by arg, evaluations at x. for ⁠tf_arg<-⁠: (list of) new arg-values. for ⁠tf_domain<-⁠: sorted numeric vector with the 2 new endpoints of the domain.
as_tfd	should the basis be returned as a tfd-vector evaluated on tf_arg(f)? Defaults to FALSE, which returns the matrix of basis functions (columns) evaluated on tf_arg(f) (rows).
object	as usual
...	dots

Value

either the respective attribute or, for setters (assignment functions), the input object with modified properties.

See Also

Other tidyfun utility functions: in_range(), tf_zoom()

Examples

x <- tf_rgp(3)
tf_arg(x)
tf_evaluations(x)
tf_count(x)
tf_domain(x)
tf_evaluator(x)
tf_evaluate(x, 0.25)
tf_evaluator(x) <- tf_approx_none
tf_evaluate(x, 0.25)
c(is_tf(x), is_tfd(x), is_reg(x), is_irreg(x))

xb <- tfb(x, k = 4, penalized = FALSE, verbose = FALSE)
tf_basis(xb)
tf_basis(xb)(c(0, .1, .2))
c(is_tfb(xb), is_tfb_spline(xb), is_tfb_fpc(xb))

tf documentation built on April 7, 2026, 5:07 p.m.