Function reference
tf - (Sub)classes: Constructors & converters
Defining, evaluating and converting functional data objects
-
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_spline() - Spline-based representation of functional data (from tf)
-
tfb_fpc() - Functional data in FPC-basis representation (from tf)
-
fpc_wsvd() - Eigenfunctions via weighted SVD (from tf)
-
`[`(<tf>)`[<-`(<tf>) - Accessing, evaluating, subsetting and subassigning
tfvectors (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 new evaluation grid. (from tf)
Arithmetic, logical and summary functions
Functionality for computing with and comparing functional data
-
Ops(<tf>)`==`(<tfd>)`!=`(<tfd>)`==`(<tfb>)`!=`(<tfb>)Ops(<tfd>)Ops(<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
tfobjects across argument values (from tf)
-
tf_depth() - Functional Data Depth (from tf)
-
tf_fwise()tf_fmax()tf_fmin()tf_fmedian()tf_frange()tf_fmean()tf_fvar()tf_fsd()tf_crosscov()tf_crosscor() - Summarize each
tfin a vector (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
tfobjects (from tf)
-
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 adata.frame
-
plot(<tf>)lines(<tf>)points(<tf>) baseplots fortfs (from tf)
-
stat_tf()geom_spaghetti()geom_meatballs() - Spaghetti plots for
tfobjects
-
gglasagna() - Lasagna plots for
tfs usingggplot2
-
stat_errorband()geom_errorband() - Error bands using
tfobjects as bounds
-
stat_capellini()geom_capellini() - Glyph plots for
tfobjects
-
print(<tf>)print(<tfd_reg>)print(<tfd_irreg>)print(<tfb>)format(<tf>) - Pretty printing and formatting for functional data (from tf)
-
type_sum(<tf>)obj_sum(<tf>)pillar_shaft(<tf>) - Format tidy functional data for tibbles
-
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)
-
tf_arg()tf_evaluations()tf_count()tf_domain()`tf_domain<-`()tf_evaluator()`tf_evaluator<-`()tf_basis()`tf_arg<-`()tf_resolution()`tf_resolution<-`()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)
-
chf_df - Congestive heart failure accelerometry data
-
dti_df - Diffusion tensor imaging data
-
tidyfuntidyfun-package - tidyfun: Tools for Tidy Functional Data