Package index • tf

tf - (Sub)classes: Constructors & converters

Defining and converting functional data objects

tfd() as.tfd() as.tfd_irreg(): Constructors for vectors of "raw" functional data
tfb() tfb_wavelet() as.tfb(): Constructors for functional data in basis representation
as.data.frame(<tf>) as.matrix(<tf>) as.function(<tf>): Convert functional data back to tabular data formats
tfb_spline(): Spline-based representation of functional data
tfb_fpc(): Functional data in FPC-basis representation
fpc_wsvd(): Eigenfunctions via weighted, regularized SVD
tf_rebase(): Change (basis) representation of a tf-object

Evaluating, indexing & re-arranging

Accessing, appending, evaluating, splitting & combining functional data objects

`[`(<tf>) `[<-`(<tf>): Accessing, evaluating, subsetting and subassigning tf vectors
tf_approx_linear() tf_approx_spline() tf_approx_none() tf_approx_fill_extend() tf_approx_locf() tf_approx_nocb(): Inter- and extrapolation functions for tfd-objects
tf_evaluate(): Evaluate tf-vectors for given argument values
tf_interpolate(): Re-evaluate tf-objects on a new grid of argument values.
tf_split() tf_combine(): Split / Combine functional fragments

Arithmetic, logical and summary functions

Functionality for computing with and comparing functional data

`==`(<tfd>) `!=`(<tfd>) `==`(<tfb>) `!=`(<tfb>) vec_arith(<tfd>) vec_arith(<tfb>) Math(<tfd>) Math(<tfb>) Summary(<tf>) cummax(<tfd>) cummin(<tfd>) cumsum(<tfd>) cumprod(<tfd>) cummax(<tfb>) cummin(<tfb>) cumsum(<tfb>) cumprod(<tfb>): Math, Summary and Ops Methods for tf
mean(<tf>) median(<tf>) sd() var() summary(<tf>): Functions that summarize tf objects across argument values
tf_fwise() tf_fmax() tf_fmin() tf_fmedian() tf_frange() tf_fmean() tf_fvar() tf_fsd() tf_crosscov() tf_crosscor(): Summarize each tf in a vector (function-wise)
tf_depth(): Functional Data Depth
rank() xtfrm(<tf>) sort(<tf>): Rank, order and sort tf vectors
min(<tf>) max(<tf>) range(<tf>): Depth-based minimum, maximum and range for tf vectors
fivenum(): Tukey's Five Number Summary for tf vectors

Differentiation, integration and simple smoothing

tf_derive(): Differentiating functional data: approximating derivative functions
tf_integrate(): Integrals and anti-derivatives of functional data
tf_smooth(): Simple smoothing of tf objects

Registering and warping

Functions for registering, and warping functional data

tf_register(): Register / align a tf vector against a template function
tf_estimate_warps(): Estimate warping functions for registration
tf_aligned() tf_inv_warps() tf_template() print(<tf_registration>) summary(<tf_registration>) print(<summary.tf_registration>) plot(<tf_registration>) `[`(<tf_registration>) length(<tf_registration>): Registration Result Object
tf_align(): Apply warping functions to align functional data
tf_landmarks_extrema() detect_landmarks() cluster_landmarks() build_landmark_matrix(): Find Extrema Locations in Functional Data
tf_warp(): Elastic Deformation: warp and align tf vectors
tf_invert(): Invert a tf vector

Visualization & Display

Graphics functions and print formats

plot(<tf>) lines(<tf>) points(<tf>): base plots for tfs
print(<tf>) print(<tfd_reg>) print(<tfd_irreg>) print(<tfb>) format(<tf>): Pretty printing and formatting for functional data
prep_plotting_arg(): Preprocess evaluation grid for plotting

Querying functional data

Locating functional features like peaks or zero-crossings

tf_where() tf_anywhere(): Find out where functional data fulfills certain conditions.
tf_zoom(): Functions to zoom in/out on functions

Utilities

Utility functions

tf_arg() tf_evaluations() tf_count() tf_domain() `tf_domain<-`() tf_evaluator() `tf_evaluator<-`() tf_basis() `tf_arg<-`() coef(<tfb>) rev(<tf>) is.na(<tf>) is.na(<tfd_irreg>) is_tf() is_tfd() is_reg() is_tfd_reg() is_irreg() is_tfd_irreg() is_tfb() is_tfb_spline() is_tfb_fpc(): Utility functions for tf-objects

Generating random functional data

RNGs for curves

tf_rgp(): Gaussian Process random generator
tf_jiggle() tf_sparsify(): Make a tf (more) irregular

Accessories

Tooling functions

in_range() `%inr%`: Find out if values are inside given bounds
ensure_list(): Turns any object into a list
unique_id(): Make syntactically valid unique names
vec_cast(<tfd_reg.tfd_reg>) vec_cast(<tfd_reg.tfd_irreg>) vec_cast(<tfd_reg.tfb_spline>) vec_cast(<tfd_reg.tfb_fpc>) vec_cast(<tfd_irreg.tfd_reg>) vec_cast(<tfd_irreg.tfd_irreg>) vec_cast(<tfd_irreg.tfb_spline>) vec_cast(<tfd_irreg.tfb_fpc>) vec_cast(<tfb_spline.tfb_spline>) vec_cast(<tfb_spline.tfb_fpc>) vec_cast(<tfb_fpc.tfb_spline>) vec_cast(<tfb_fpc.tfb_fpc>) vec_cast(<tfb_spline.tfd_reg>) vec_cast(<tfb_spline.tfd_irreg>) vec_cast(<tfb_fpc.tfd_reg>) vec_cast(<tfb_fpc.tfd_irreg>) vec_ptype2(<tfd_reg.tfd_reg>) vec_ptype2(<tfd_reg.tfd_irreg>) vec_ptype2(<tfd_reg.tfb_spline>) vec_ptype2(<tfd_reg.tfb_fpc>) vec_ptype2(<tfd_irreg.tfd_reg>) vec_ptype2(<tfd_irreg.tfd_irreg>) vec_ptype2(<tfd_irreg.tfb_spline>) vec_ptype2(<tfd_irreg.tfb_fpc>) vec_ptype2(<tfb_spline.tfb_spline>) vec_ptype2(<tfb_spline.tfb_fpc>) vec_ptype2(<tfb_spline.tfd_reg>) vec_ptype2(<tfb_spline.tfd_irreg>) vec_ptype2(<tfb_fpc.tfb_spline>) vec_ptype2(<tfb_fpc.tfb_fpc>) vec_ptype2(<tfb_fpc.tfd_reg>) vec_ptype2(<tfb_fpc.tfd_irreg>): vctrs methods for tf objects
tf tf-package: tf: S3 Classes and Methods for Tidy Functional Data

Data

Real world functional data

gait: Hip and knee angle while walking data
growth: Berkeley growth study data
pinch: Pinch force data