.intWeights |
Calculate weights for numerical integration |
.scalarProduct |
Generic method for scalar products, based on integrate |
addError |
Add Gaussian white noise to functional data objects |
approxNA |
Approximate missing values for funData objects |
Arith-method |
Arithmetics for functional data objects |
Arith.funData |
Arithmetics for functional data objects |
as.data.frame-method |
Coerce functional data objects to a data.frame |
as.data.frame.funData |
Coerce functional data objects to a data.frame |
as.funData |
Coerce an irregFunData object to class funData |
as.funData-method |
Coerce an irregFunData object to class funData |
as.irregFunData |
Coerce a funData object to class irregFunData |
as.irregFunData-method |
Coerce a funData object to class irregFunData |
as.multiFunData |
Coerce a funData object to class multiFunData |
as.multiFunData-method |
Coerce a funData object to class multiFunData |
autolayer.funData |
Visualize functional data objects using ggplot |
autolayer.irregFunData |
Visualize irregular functional data objects using ggplot |
autoplot.funData |
Visualize functional data objects using ggplot |
autoplot.irregFunData |
Visualize irregular functional data objects using ggplot |
autoplot.multiFunData |
Visualize multivariate functional data objects using ggplot |
dimSupp |
Support dimension of functional data |
eFun |
Generate orthonormal eigenfunctions |
eVal |
Generate a sequence of simulated eigenvalues |
extractObs |
Extract observations of functional data |
fd2funData |
Convert an fd object to funData |
flipFuns |
Flip functional data objects |
funData |
A class for (univariate) functional data |
funData-class |
A class for (univariate) functional data |
funData-method |
A class for (univariate) functional data |
funData2fd |
Convert a funData object to fd |
ggplot |
ggplot Graphics for Functional Data Objects |
ggplot-method |
ggplot Graphics for Functional Data Objects |
integrate |
Integrate functional data |
irregFunData |
A class for irregularly sampled functional data |
irregFunData-class |
A class for irregularly sampled functional data |
irregFunData-method |
A class for irregularly sampled functional data |
Math-method |
Mathematical operations for functional data objects |
Math.funData |
Mathematical operations for functional data objects |
meanFunction |
Mean for functional data |
multiFunData |
A class for multivariate functional data |
multiFunData-class |
A class for multivariate functional data |
multiFunData-method |
A class for multivariate functional data |
names-method |
A class for (univariate) functional data |
names-method |
A class for irregularly sampled functional data |
names-method |
A class for multivariate functional data |
names<--method |
A class for (univariate) functional data |
names<--method |
A class for irregularly sampled functional data |
names<--method |
A class for multivariate functional data |
nObs |
Get the number of observations |
nObsPoints |
Get the number of observation points |
norm |
Calculate the norm of functional data |
plot-method |
Plotting univariate functional data |
plot-method |
Plotting irregular functional data |
plot-method |
Plotting multivariate functional data |
plot.funData |
Plotting univariate functional data |
plot.irregFunData |
Plotting irregular functional data |
plot.multiFunData |
Plotting multivariate functional data |
scalarProduct |
Calculate the scalar product for functional data objects |
show-method |
A class for (univariate) functional data |
show-method |
A class for irregularly sampled functional data |
simFunData |
Simulate univariate functional data |
simMultiFunData |
Simulate multivariate functional data |
sparsify |
Generate a sparse version of functional data objects |
str-method |
A class for (univariate) functional data |
str-method |
A class for irregularly sampled functional data |
str-method |
A class for multivariate functional data |
subset-method |
Extract observations of functional data |
summary-method |
A class for (univariate) functional data |
summary-method |
A class for irregularly sampled functional data |
summary-method |
A class for multivariate functional data |
tensorProduct |
Tensor product for univariate functions on one-dimensional domains |
[-method |
Extract observations of functional data |