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
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 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
tf
objects 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
tf
in 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
tf
objects (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
tf
s inside adata.frame
-
plot(<tf>)
lines(<tf>)
points(<tf>)
base
plots fortf
s (from tf)
-
stat_tf()
geom_spaghetti()
geom_meatballs()
- Spaghetti plots for
tf
objects
-
gglasagna()
- Lasagna plots for
tf
s usingggplot2
-
stat_errorband()
geom_errorband()
- Error bands using
tf
objects as bounds
-
stat_capellini()
geom_capellini()
- Glyph plots for
tf
objects
-
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
-
tidyfun
tidyfun-package
- tidyfun: Tools for Tidy Functional Data