converters: Convert functional data back to tabular data formats

In tf: S3 Classes and Methods for Tidy Functional Data

Convert functional data back to tabular data formats

Description

Various converters to turn tfb- or tfd-vectors into data.frames or matrices, or even an actual R function.

Usage

## S3 method for class 'tf'
as.data.frame(x, row.names = NULL, optional = FALSE, unnest = FALSE, ...)

## S3 method for class 'tf'
as.matrix(x, arg, interpolate = FALSE, ...)

## S3 method for class 'tf'
as.function(x, ...)

Arguments

x	a tf object.
row.names	NULL or a character vector giving the row names for the data frame. Missing values are not allowed.
optional	not used.
unnest	if TRUE, the function will return a data.frame with the evaluated functions.
...	additional arguments to be passed to or from methods.
arg	a vector of argument values / evaluation points for x. Defaults to tf_arg(x) (so for x on irregular grids, this will be the union of all observed arg-values by default).
interpolate	should functions be evaluated (i.e., inter-/extrapolated) for values in arg for which no original data is available? Only relevant for the raw data class tfd, for which it defaults to FALSE. Basis-represented functional data tfb are always "interpolated".

Value

for as.data.frame.tf: if unnest is FALSE (default), a one-column data.frame with a tf-column containing x. if unnest is TRUE, a 3-column data frame with columns id (containing (unique) names of x or a numeric identifier if x is unnamed), arg, and value, with each row containing one function evaluation at the original arg-values.

for as.matrix.tf: a matrix with one row per function and one column per arg.

for as.function.tf: an R function with argument arg that evaluates x on arg and returns the list of function values

Examples

f <- tfd(sin(seq(0, 2 * pi, length.out = 11)), arg = seq(0, 1, length.out = 11))
as.data.frame(f)
as.data.frame(f, unnest = TRUE)
as.matrix(f)
fun <- as.function(f)
fun(c(0, 0.5, 1))

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