Package index • tidyfun

Tidy data wrangling

Converting, reshaping, and evaluating functional data inside data frames

tidyfun tidyfun-package: tidyfun: Tidy Functional Data Wrangling and Visualization
tf_gather(): Gather all columns representing functional measurements into a tfd-object
tf_spread(): Spread a tf-column into many columns representing the function evaluations.
tf_nest(): Turn "long" tables into tidy data frames with tf-objects
tf_unnest(): Turn (data frames with) tf-objects / list columns into "long" tables.
tf_evaluate(<data.frame>): Evaluate tfs inside a data.frame

Defining and converting functional data objects (re-exported from tf)

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

tf_ggplot() and standard ggplot2 geoms for spaghetti plots, ribbons, and more. Specialized geoms for heatmaps, boxplots, and sparklines.

tf_ggplot(): Create a tf-aware ggplot
is_tf_ggplot(): Check if object is a tf_ggplot
`+`(<tf_ggplot>): Add layers to tf_ggplot objects
print(<tf_ggplot>): Print method for tf_ggplot
ggplot_build(<tf_ggplot>): ggplot_build method for tf_ggplot
parse_tf_aesthetics(): Parse aesthetic mappings to separate tf and regular aesthetics

ggplot2 layers for functional data

stat_tf() geom_spaghetti() geom_meatballs(): Spaghetti plots for tf objects
stat_fboxplot() geom_fboxplot(): Functional boxplots for tf objects
gglasagna(): Lasagna plots for tfs using ggplot2
stat_errorband() geom_errorband(): Error bands using tf objects as bounds
stat_capellini() geom_capellini(): Glyph plots for tf objects
autoplot(<tf>) autolayer(<tf>): Autoplot and autolayer methods for tf objects

Base-R graphics and print formats for tf objects

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

Pillar and print formatting for tf columns

type_sum(<tf>) obj_sum(<tf>) pillar_shaft(<tf>): Format tidy functional data for tibbles

Real-world functional data sets shipped with tidyfun or tf

Locating functional features like peaks or zero-crossings

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

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

`[`(<tf>) `[<-`(<tf>): Accessing, evaluating, subsetting and subassigning tf vectors (from tf)
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 (from tf)
tf_evaluate(): Evaluate tf-vectors for given argument values (from tf)
tf_interpolate(): Re-evaluate tf-objects on a new grid of argument values. (from tf)
tf_split() tf_combine(): Split / Combine functional fragments (from tf)

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 (from tf)
mean(<tf>) median(<tf>) sd() var() summary(<tf>): Functions that summarize tf objects across argument values (from tf)
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) (from tf)
tf_depth(): Functional Data Depth (from tf)
rank() xtfrm(<tf>) sort(<tf>): Rank, order and sort tf vectors (from tf)
min(<tf>) max(<tf>) range(<tf>): Depth-based minimum, maximum and range for tf vectors (from tf)
fivenum(): Tukey's Five Number Summary for tf vectors (from tf)

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

Functions for registering and warping functional data

tf_register(): Register / align a tf vector against a template function (from tf)
tf_estimate_warps(): Estimate warping functions for registration (from tf)
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 (from tf)
tf_align(): Apply warping functions to align functional data (from tf)
tf_landmarks_extrema() detect_landmarks() cluster_landmarks() build_landmark_matrix(): Find Extrema Locations in Functional Data (from tf)
tf_warp(): Elastic Deformation: warp and align tf vectors (from tf)
tf_invert(): Invert a tf vector (from tf)

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 (from tf)
tf_rgp(): Gaussian Process random generator (from tf)
tf_jiggle() tf_sparsify(): Make a tf (more) irregular (from tf)
in_range() `%inr%`: Find out if values are inside given bounds (from tf)
ensure_list(): Turns any object into a list (from tf)
unique_id(): Make syntactically valid unique names (from tf)