Man pages for ClaraHapp/funData
An S4 Class for Functional Data
| addError | Add Gaussian white noise to functional data objects |
| addError-funData-method | Add gaussian white noise to functional data |
| addError-multiFunData-method | Add gaussian white noise to multivariate functional data |
| approxNA | Approximate missing values for funData objects |
| approxNA-funData-method | approxNA for funData objects |
| argvals | Extract and set slots from functional data objects |
| argvals-funData-method | Get argvals slot for funData objects |
| argvals-irregFunData-method | Get argvals slot for irregular functional data objects |
| argvals-multiFunData-method | Get argvals slot for multiFunData objects |
| argvals-set-funData-method | Set argvals slot for funData objects |
| argvals-set-irregFunData-method | Set argvals slot for irregular functional objects |
| argvals-set-multiFunData-method | Set argvals slot for multiFunData objects |
| Arith.funData | Arithmetics for functional data objects |
| as.data.frame.funData | Coerce functional data objects to a data.frame |
| as.funData | Coerce an irregFunData object to class funData |
| as.irregFunData | Coerce a funData object to class irregFunData |
| as.multiFunData | Coerce a funData object to class multiFunData |
| 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 |
| dimSupp-funData-method | dimSupp for funData objects |
| dimSupp-irregFunData-method | dimSupp for irregular functional data objects |
| dimSupp-multiFunData-method | dimSupp for multiFunData objects |
| dot-intWeights | Calculate weights for numerical integration |
| dot-scalarProduct | Generic method for scalar products, based on integrate |
| efFourier | Calculate the first M Fourier basis functions |
| efPoly | Legendre Polynomials of degree 0,...,M-1 |
| eFun | Generate orthonormal eigenfunctions |
| efWiener | Calculate the first M eigenfunctions of the Wiener process |
| eVal | Generate a sequence of simulated eigenvalues |
| expand.int | Function to expand integers to a grid of indices |
| extractObs | Extract observations of functional data |
| extractObs-funData-method | extractObs for funData objects |
| extractObs-irregFunData-method | extractObs for irregular functional data |
| extractObs-multiFunData-method | extractObs for multiFunData objects |
| extrapolateIrreg | Extrapolate irregular functional data to a given domain |
| fd2funData | Convert an fd object to funData |
| flipFuns | Flip functional data objects |
| flipFuns-funData-funData-method | Flip univariate functional data |
| flipFuns-funData-irregFunData-method | Flip irregular functional data - funData as reference |
| flipFuns-irregFunData-irregFunData-method | Flip irregular functional data - irregFunData as reference |
| flipFuns-multiFunData-multiFunData-method | Flip multivariate functional data |
| funData2fd | Convert a funData object to fd |
| funData-class | A class for (univariate) functional data |
| funData-setAs | Coerce a funData object to class multiFunData |
| ggplot | ggplot Graphics for Functional Data Objects |
| integrate | Integrate functional data |
| integrate3D | Integrate a function on a rectangular 3D grid |
| integrate-funData-method | Integrate method for funData objects |
| integrate-irregFunData-method | Integrate method for irregular functional data objects |
| integrate-multiFunData-method | Integrate method for multiFunData objects |
| irregFunData-class | A class for irregularly sampled functional data |
| irregFunData-setAs | Coerce an irregFunData object to class funData |
| Math.funData | Mathematical operations for functional data objects |
| meanFunction | Mean for functional data |
| meanFunction-funData-method | Mean for functional data |
| meanFunction-irregFunData-method | Mean for irregular functional data |
| meanFunction-multiFunData-method | Mean for multivariate functional data |
| multiFunData-class | A class for multivariate functional data |
| nObs | Get the number of observations |
| nObs-funData-method | nObs for funData objects |
| nObs-irregFunData-method | nObs for irregular functional data objects |
| nObs-multiFunData-method | nObs for multiFunData objects |
| nObsPoints | Get the number of observation points |
| nObsPoints-funData-method | nObsPoints for funData objects |
| nObsPoints-irregFunData-method | nObsPoints for irregular functional data objects |
| nObsPoints-multiFunData-method | nObsPoints for multiFunData objects |
| norm | Calculate the norm of functional data |
| norm.funData | Calculate the norm for univariate functional data |
| norm-funData-missing-method | Calculate the norm for univariate functional data |
| norm.irregFunData | Calculate the norm for irregular functional data |
| norm-irregFunData-missing-method | Calculate the norm for irregular functional data |
| norm-multiFunData-missing-method | Calculate the norm for multivariate functional data |
| plot.funData | Plotting univariate functional data |
| plot.irregFunData | Plotting irregular functional data |
| plot.multiFunData | Plotting multivariate functional data |
| print.funData | A print method for univariate functional data |
| print.irregFunData | A print method for irregular functional data |
| scalarProduct | Calculate the scalar product for functional data objects |
| scalarProduct-funData-funData-method | Scalar product for functional data |
| scalarProduct-funData-irregFunData-method | Scalar product for irregular and functional data |
| scalarProduct-irregFunData-funData-method | Scalar product for irregular and functional data |
| scalarProduct-irregFunData-irregFunData-method | Scalar product for irregular functional data |
| scalarProduct-multiFunData-multiFunData-method | Scalar product for multivariate functional data |
| simFunData | Simulate univariate functional data |
| simMultiFunData | Simulate multivariate functional data |
| simMultiSplit | Simulate multivariate eigenfunctions based on a split 'big'... |
| simMultiWeight | Simulate multivariate eigenfunctions based on weighted... |
| sparsify | Generate a sparse version of functional data objects |
| sparsify-funData-method | sparsify for univariate functional data |
| sparsify-multiFunData-method | sparsify for multivariate functional data |
| tensorProduct | Tensor product for univariate functions on one-dimensional... |
| tensorProduct-funData-method | Tensor product for functional data |
| X-funData-method | Get X slot for funData objects |
| X-irregFunData-method | Get X slot for irregular functional data objects |
| X-multiFunData-method | Get X slot for multiFunData objects |
| X-set-funData-method | Set X slot for funData objects |
| X-set-irregFunData-method | Set X slot for irregular functional data objects |
| X-set-multiFunData-method | Set X slot for multiFunData objects |
