.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 |