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

Multivariate-output curves, e.g. movement trajectories (see issues

tfd_mv() as.tfd_mv(): Constructors for vector-valued functional data (f: R -> R^d)
tfb_mv() as.tfb_mv(): Vector-valued functional data in basis representation (f: R -> R^d)
tfb_mfpc() is_tfb_mfpc() tf_mfpc_scores() tf_mfpc_efunctions(): Multivariate functional principal component analysis (f: R -> R^d)
tf_ncomp() tf_components() tf_component() `tf_component<-`(): Accessors and methods for vector-valued functional data
tf_norm() tf_speed() tf_inner() tf_distance() tf_tangent() tf_reparam_arclength(): Pointwise norm and inner product for functional data
tf_arclength(): Arc length of vector-valued functional data
plot(<tf_mv>) lines(<tf_mv>) points(<tf_mv>): Plot vector-valued functional data
as.matrix(<tf_mv>) as.data.frame(<tf_mv>): Coerce a tf_mv to a matrix or data.frame

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

`[`(<tf_mv>) `[<-`(<tf_mv>) `[`(<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

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>) summary(<tf_mv>): Functions that summarize tf objects across argument values
median(<tf_mv>): Joint depth-median for vector-valued functional data
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>) tf_order(): 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

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