tf_evaluate: Evaluate 'tf'-vectors for given argument values

In tf: S3 Classes and Methods for Tidy Functional Data

Evaluate tf-vectors for given argument values

Description

Also used internally by the [-operator for tf data (see ?tfbrackets) to evaluate object, see examples.

Usage

tf_evaluate(object, arg, ...)

## Default S3 method:
tf_evaluate(object, arg, ...)

## S3 method for class 'tfd'
tf_evaluate(object, arg, evaluator = tf_evaluator(object), ...)

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

Arguments

object	a tf, or a data.frame-like object with tf columns.
arg	optional evaluation grid (vector or list of vectors). Defaults to tf_arg(object), implicitly.
...	not used
evaluator	optional. The function to use for inter/extrapolating the tfd. Defaults to tf_evaluator(object). See e.g. tf_approx_linear() for details.

Value

A list of numeric vectors containing the function evaluations on arg.

See Also

Other tidyfun inter/extrapolation functions: tf_approx_linear(), tf_interpolate()

Examples

f <- tf_rgp(3, arg = seq(0, 1, length.out = 11))
tf_evaluate(f) |> str()
tf_evaluate(f, arg = 0.5) |> str()
# equivalent, as matrix:
f[, 0.5]
new_grid <- seq(0, 1, length.out = 6)
tf_evaluate(f, arg = new_grid) |> str()
# equivalent, as matrix:
f[, new_grid]

tf documentation built on May 29, 2024, 5:28 a.m.