Package: funData 1.3-9
Clara Happ-Kurz
funData: An S4 Class for Functional Data
S4 classes for univariate and multivariate functional data with utility functions. See <doi:10.18637/jss.v093.i05> for a detailed description of the package functionalities and its interplay with the MFPCA package for multivariate functional principal component analysis <https://CRAN.R-project.org/package=MFPCA>.
Authors:
funData_1.3-9.tar.gz
funData_1.3-9.zip(r-4.7)funData_1.3-9.zip(r-4.6)funData_1.3-9.zip(r-4.5)
funData_1.3-9.tgz(r-4.6-any)funData_1.3-9.tgz(r-4.5-any)
funData_1.3-9.tar.gz(r-4.7-any)funData_1.3-9.tar.gz(r-4.6-any)
funData_1.3-9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
funData/json (API)
NEWS
| # Install 'funData' in R: |
| install.packages('funData', repos = c('https://clarahapp.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/clarahapp/fundata/issues
Last updated from:e2939d46c6. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 151 | ||
| source / vignettes | OK | 206 | ||
| linux-release-x86_64 | OK | 145 | ||
| macos-release-arm64 | OK | 145 | ||
| macos-oldrel-arm64 | OK | 86 | ||
| windows-devel | OK | 97 | ||
| windows-release | OK | 93 | ||
| windows-oldrel | OK | 111 | ||
| wasm-release | OK | 128 |
Exports:.intWeightsaddErrorapproxNAargvalsargvals<-as.data.frameas.funDataas.irregFunDataas.multiFunDataautolayer.funDataautolayer.irregFunDataautoplot.funDataautoplot.irregFunDataautoplot.multiFunDatadimSuppeFuneValextractObsfd2funDataflipFunsfunDatafunData2fdgetArgvalsgetXggplotintegrateirregFunDatameanFunctionmultiFunDatanObsnObsPointsnormplotscalarProductsetArgvalssetXshowsimFunDatasimMultiFunDatasparsifystrsubsetsummarytensorProductXX<-
Dependencies:abindcodetoolsdotCall64fieldsforeachiteratorsmapsRColorBrewerRcppspamviridisLite
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate weights for numerical integration | .intWeights |
| Generic method for scalar products, based on integrate | .scalarProduct |
| Add Gaussian white noise to functional data objects | addError |
| Approximate missing values for funData objects | approxNA |
| Arithmetics for functional data objects | Arith,funData,funData-method Arith,funData,irregFunData-method Arith,funData,numeric-method Arith,irregFunData,funData-method Arith,irregFunData,irregFunData-method Arith,irregFunData,numeric-method Arith,multiFunData,multiFunData-method Arith,multiFunData,numeric-method Arith,numeric,funData-method Arith,numeric,irregFunData-method Arith,numeric,multiFunData-method Arith.funData |
| Coerce functional data objects to a data.frame | as.data.frame,funData-method as.data.frame,irregFunData-method as.data.frame,multiFunData-method as.data.frame.funData |
| Coerce an irregFunData object to class funData | as.funData as.funData,irregFunData-method |
| Coerce a funData object to class irregFunData | as.irregFunData as.irregFunData,funData-method |
| Coerce a funData object to class multiFunData | as.multiFunData as.multiFunData,funData-method |
| Visualize functional data objects using ggplot | autolayer.funData autoplot.funData |
| Visualize irregular functional data objects using ggplot | autolayer.irregFunData autoplot.irregFunData |
| Visualize multivariate functional data objects using ggplot | autoplot.multiFunData |
| Support dimension of functional data | dimSupp |
| Generate orthonormal eigenfunctions | eFun |
| Generate a sequence of simulated eigenvalues | eVal |
| Extract observations of functional data | extractObs subset,funData-method subset,irregFunData-method subset,multiFunData-method [,funData,ANY,missing,missing-method [,irregFunData,ANY,missing,missing-method [,multiFunData,ANY,missing,missing-method |
| Convert an fd object to funData | fd2funData |
| Flip functional data objects | flipFuns |
| A class for (univariate) functional data | funData funData,list,array-method funData,numeric,array-method funData-class names,funData-method names<-,funData-method show,funData-method str,funData-method summary,funData-method |
| Convert a funData object to fd | funData2fd |
| ggplot Graphics for Functional Data Objects | ggplot ggplot,funData-method ggplot,irregFunData-method ggplot,multiFunData-method |
| Integrate functional data | integrate |
| A class for irregularly sampled functional data | irregFunData irregFunData,list,list-method irregFunData-class names,irregFunData-method names<-,irregFunData-method show,irregFunData-method str,irregFunData-method summary,irregFunData-method |
| Mathematical operations for functional data objects | Math,funData-method Math,irregFunData-method Math,multiFunData-method Math.funData |
| Mean for functional data | meanFunction |
| A class for multivariate functional data | multiFunData multiFunData,ANY-method multiFunData-class names,multiFunData-method names<-,multiFunData-method str,multiFunData-method summary,multiFunData-method |
| Get the number of observations | nObs |
| Get the number of observation points | nObsPoints |
| Calculate the norm of functional data | norm |
| Plotting univariate functional data | plot,funData,missing-method plot.funData |
| Plotting irregular functional data | plot,irregFunData,missing-method plot.irregFunData |
| Plotting multivariate functional data | plot,multiFunData,missing-method plot.multiFunData |
| Calculate the scalar product for functional data objects | scalarProduct |
| Simulate univariate functional data | simFunData |
| Simulate multivariate functional data | simMultiFunData |
| Generate a sparse version of functional data objects | sparsify |
| Tensor product for univariate functions on one-dimensional domains | tensorProduct |