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A B C D E F G H I K L M N O P Q R S T V W Z
| fda-package | Functional Data Analysis in R |
| *.basisfd | Product of two basisfd objects |
| *.fd | Arithmetic on functional data ('fd') objects |
| +.fd | Arithmetic on functional data ('fd') objects |
| -.fd | Arithmetic on functional data ('fd') objects |
| ==.basisfd | Arithmatic on functional basis objects |
| AmpPhaseDecomp | Decomposition for Amplitude and Phase Variation |
| argvalsy.swap | Swap argvals with y if the latter is simpler. |
| arithmetic.basisfd | Arithmatic on functional basis objects |
| arithmetic.fd | Arithmetic on functional data ('fd') objects |
| as.array3 | Reshape a vector or array to have 3 dimensions. |
| as.fd | Convert a spline object to class 'fd' |
| as.fd.dierckx | Convert a spline object to class 'fd' |
| as.fd.fdSmooth | Convert a spline object to class 'fd' |
| as.fd.function | Convert a spline object to class 'fd' |
| as.fd.smooth.spline | Convert a spline object to class 'fd' |
| axesIntervals | Mark Intervals on a Plot Axis |
| axisIntervals | Mark Intervals on a Plot Axis |
| basisfd.product | Product of two basisfd objects |
| bifd | Create a bivariate functional data object |
| bifdPar | Define a Bivariate Functional Parameter Object |
| bsplinepen | B-Spline Penalty Matrix |
| bsplineS | B-spline Basis Function Values |
| CanadianWeather | Canadian average annual weather cycle |
| cca.fd | Functional Canonical Correlation Analysis |
| center.fd | Center Functional Data |
| checkDim3 | Compare dimensions and dimnames of arrays |
| checkDims3 | Compare dimensions and dimnames of arrays |
| checkLogical | Does an argument satisfy required conditions? |
| checkLogicalInteger | Does an argument satisfy required conditions? |
| checkNumeric | Does an argument satisfy required conditions? |
| coef.fd | Extract functional coefficients |
| coef.fdPar | Extract functional coefficients |
| coef.fdSmooth | Extract functional coefficients |
| coef.Taylor | Extract functional coefficients |
| coefficients.fd | Extract functional coefficients |
| coefficients.fdPar | Extract functional coefficients |
| coefficients.fdSmooth | Extract functional coefficients |
| coefficients.Taylor | Extract functional coefficients |
| constraintCheck | Support functions for lmWinsor |
| cor.fd | Correlation matrix from functional data object(s) |
| create.basis | Create Basis Set for Functional Data Analysis |
| create.bspline.basis | Create a B-spline Basis |
| create.constant.basis | Create a Constant Basis |
| create.exponential.basis | Create an Exponential Basis |
| create.fourier.basis | Create a Fourier Basis |
| create.monomial.basis | Create a Monomial Basis |
| create.polygonal.basis | Create a Polygonal Basis |
| create.polynomial.basis | Create a Polynomial Basis |
| create.power.basis | Create a Power Basis Object |
| CSTR | Continuously Stirred Tank Reactor |
| CSTR2 | Continuously Stirred Tank Reactor |
| CSTR2in | Continuously Stirred Tank Reactor |
| CSTRfitLS | Continuously Stirred Tank Reactor |
| CSTRfn | Continuously Stirred Tank Reactor |
| CSTRres | Continuously Stirred Tank Reactor |
| CSTRres0 | Continuously Stirred Tank Reactor |
| CSTRsse | Continuously Stirred Tank Reactor |
| cycleplot.fd | Plot Cycles for a Periodic Bivariate Functional Data Object |
| daily | Canadian average annual weather cycle |
| Data2fd | Create a functional data object from data |
| data2fd | Depricated: use 'Data2fd' |
| dateAccessories | Numeric and character vectors to facilitate working with dates |
| day.5 | Numeric and character vectors to facilitate working with dates |
| dayOfYear | Numeric and character vectors to facilitate working with dates |
| dayOfYearShifted | Numeric and character vectors to facilitate working with dates |
| daysPerMonth | Numeric and character vectors to facilitate working with dates |
| density.fd | Compute a Probability Density Function |
| deriv.fd | Compute a Derivative of a Functional Data Object |
| df.residual.fRegress | Degress of Freedom for Residuals from a Functional Regression |
| df2lambda | Convert Degrees of Freedom to a Smoothing Parameter Value |
| dirs | Get subdirectories |
| Eigen | Eigenanalysis preserving dimnames |
| eigen.pda | Stability Analysis for Principle Differential Analysis |
| eval.basis | Values of Basis Functions or their Derivatives |
| eval.bifd | Values a Two-argument Functional Data Object |
| eval.fd | Values of a Functional Data Object |
| eval.monfd | Values of a Monotone Functional Data Object |
| eval.penalty | Evaluate a Basis Penalty Matrix |
| eval.posfd | Evaluate a Positive Functional Data Object |
| evaldiag.bifd | Evaluate the Diagonal of a Bivariate Functional Data Object |
| expect.phi | Expectation of basis functions |
| expectden.phi | Expectation of basis functions |
| expectden.phiphit | Expectation of basis functions |
| expon | Exponential Basis Function Values |
| exponpen | Exponential Penalty Matrix |
| fda | Functional Data Analysis in R |
| fdaMatlabPath | Add 'fdaM' to the Matlab path |
| fdlabels | Extract plot labels and names for replicates and variables |
| fdPar | Define a Functional Parameter Object |
| file.copy2 | Copy a file with a default 'to' name |
| fitted.fdSmooth | Values of a Functional Data Object |
| fitted.monfd | Values of a Monotone Functional Data Object |
| fitted.posfd | Evaluate a Positive Functional Data Object |
| fourier | Fourier Basis Function Values |
| fourierpen | Fourier Penalty Matrix |
| Fperm.fd | Permutation F-test for functional linear regression. |
| fRegress | Functional Regression Analysis |
| fRegress.character | Functional Regression Analysis |
| fRegress.CV | Computes Cross-validated Error Sum of Integrated Squared Errors for a Functional Regression Model |
| fRegress.fd | Functional Regression Analysis |
| fRegress.fdPar | Functional Regression Analysis |
| fRegress.formula | Functional Regression Analysis |
| fRegress.numeric | Functional Regression Analysis |
| fRegress.stderr | Compute Standard errors of Coefficient Functions Estimated by Functional Regression Analysis |
| Fstat.fd | F-statistic for functional linear regression. |
| gait | Hip and knee angle while walking |
| getbasismatrix | Values of Basis Functions or their Derivatives |
| getbasispenalty | Evaluate a Roughness Penalty Matrix |
| getbasisrange | Extract the range from a basis object |
| growth | Berkeley Growth Study data |
| handwrit | Cursive handwriting samples |
| handwritTime | Cursive handwriting samples |
| infantGrowth | Tibia Length for One Baby |
| inprod | Inner products of Functional Data Objects. |
| inprod.bspline | Compute Inner Products B-spline Expansions. |
| int2Lfd | Convert Integer to Linear Differential Operator |
| intensity.fd | Intensity Function for Point Process |
| is.basis | Confirm Object is Class "Basisfd" |
| is.fd | Confirm Object has Class "fd" |
| is.fdPar | Confirm Object has Class "fdPar" |
| is.Lfd | Confirm Object has Class "Lfd" |
| knots.basisfd | Extract the knots from a function basis or data object |
| knots.fd | Extract the knots from a function basis or data object |
| knots.fdSmooth | Extract the knots from a function basis or data object |
| lambda2df | Convert Smoothing Parameter to Degrees of Freedom |
| lambda2gcv | Compute GCV Criterion |
| landmark.reg.expData | Experiment data for landmark registration and alignment |
| landmarkreg | Landmark Registration of Functional Observations |
| Lfd | Define a Linear Differential Operator Object |
| lines.fd | Add Lines from Functional Data to a Plot |
| lines.fdSmooth | Add Lines from Functional Data to a Plot |
| linmod | Fit Fully Functional Linear Model |
| lip | Lip motion |
| lipmarks | Lip motion |
| liptime | Lip motion |
| lmeWinsor | Winsorized Regression with mixed effects |
| lmWinsor | Winsorized Regression |
| lmWinsor1 | Support functions for lmWinsor |
| lmWinsor2 | Support functions for lmWinsor |
| mean.fd | Mean of Functional Data |
| melanoma | melanoma 1936-1972 |
| minus.fd | Arithmetic on functional data ('fd') objects |
| monfn | Evaluates a monotone function |
| monomial | Evaluate Monomial Basis |
| monomialpen | Evaluate Monomial Roughness Penalty Matrix |
| monthAccessories | Numeric and character vectors to facilitate working with dates |
| monthBegin.5 | Numeric and character vectors to facilitate working with dates |
| monthEnd | Numeric and character vectors to facilitate working with dates |
| monthEnd.5 | Numeric and character vectors to facilitate working with dates |
| monthLetters | Numeric and character vectors to facilitate working with dates |
| monthMid | Numeric and character vectors to facilitate working with dates |
| MontrealTemp | Montreal Daily Temperature |
| nondurables | Nondurable goods index |
| norder | Order of a B-spline |
| norder.basisfd | Order of a B-spline |
| norder.bspline | Order of a B-spline |
| norder.default | Order of a B-spline |
| norder.fd | Order of a B-spline |
| normden.phi | Expectation of basis functions |
| normint.phi | Expectation of basis functions |
| objAndNames | Add names to an object |
| odesolv | Numerical Solution mth Order Differential Equation System |
| onechild | growth in height of one 10-year-old boy |
| pca.fd | Functional Principal Components Analysis |
| pda.fd | Principal Differential Analysis |
| pda.overlay | Stability Analysis for Principle Differential Analysis |
| phaseplanePlot | Phase-plane plot |
| pinch | pinch force data |
| pinchraw | pinch force data |
| pinchtime | pinch force data |
| plot.basisfd | Plot a Basis Object |
| plot.fd | Plot a Functional Data Object |
| plot.fdPar | Plot a Functional Data Object |
| plot.fdSmooth | Plot a Functional Data Object |
| plot.Lfd | Plot a Linear Differential Operator Object |
| plot.lmWinsor | lmWinsor plot |
| plot.pca.fd | Plot Functional Principal Components |
| plot.pda.fd | Plot Principle Differential Analysis Components |
| plotbeta | Plot a functional parameter object with confidence limits |
| plotfit.fd | Plot a Functional Data Object With Data |
| plotfit.fdSmooth | Plot a Functional Data Object With Data |
| plotscores | Plot Principal Component Scores |
| plus.fd | Arithmetic on functional data ('fd') objects |
| polyg | Polygonal Basis Function Values |
| polygpen | Polygonal Penalty Matrix |
| powerbasis | Power Basis Function Values |
| powerpen | Power Penalty Matrix |
| predict.basisfd | Values of Basis Functions or their Derivatives |
| predict.fd | Values of a Functional Data Object |
| predict.fdPar | Values of a Functional Data Object |
| predict.fdSmooth | Values of a Functional Data Object |
| predict.fRegress | Predict method for Functional Regression |
| predict.lmeWinsor | Predict method for Winsorized linear model fits with mixed effects |
| predict.lmWinsor | Predict method for Winsorized linear model fits |
| predict.monfd | Values of a Monotone Functional Data Object |
| predict.posfd | Evaluate a Positive Functional Data Object |
| project.basis | Approximate Functional Data Using a Basis |
| quadset | Quadrature points and weights for Simpson's rule |
| refinery | Reflux and tray level in a refinery |
| ReginaPrecip | Regina Daily Precipitation |
| register.fd | Register Functional Data Objects Using a Continuous Criterion |
| register.newfd | Register Functional Data Objects with Pre-Computed Warping Functions |
| residuals.fdSmooth | Values of a Functional Data Object |
| residuals.fRegress | Residuals from a Functional Regression |
| residuals.monfd | Values of a Monotone Functional Data Object |
| residuals.posfd | Evaluate a Positive Functional Data Object |
| sampleData | Experiment data for landmark registration and alignment |
| sd.fd | Standard Deviation of Functional Data |
| seabird | Sea Bird Counts |
| smooth.basis | Smooth Data with an Indirectly Specified Roughness Penalty |
| smooth.basisPar | Smooth Data Using a Directly Specified Roughness Penalty |
| smooth.bibasis | Smooth a discrete surface over a rectangular lattice |
| smooth.fd | Smooth a Functional Data Object Using an Indirectly Specified Roughness Penalty |
| smooth.fdPar | Smooth a functional data object using a directly specified roughness penalty |
| smooth.monotone | Monotone Smoothing of Data |
| smooth.morph | Estimates a Smooth Warping Function |
| smooth.pos | Smooth Data with a Positive Function |
| StatSciChinese | Statistical Science in Chinese |
| std.fd | Standard Deviation of Functional Data |
| stddev.fd | Standard Deviation of Functional Data |
| stdev.fd | Standard Deviation of Functional Data |
| sum.fd | Sum of Functional Data |
| summary.basisfd | Summarize a Functional Data Object |
| summary.bifd | Summarize a Bivariate Functional Data Object |
| summary.fd | Summarize a Functional Data Object |
| summary.fdPar | Summarize a Functional Parameter Object |
| summary.Lfd | Summarize a Linear Differential Operator Object |
| svd2 | singular value decomposition with automatic error handling |
| TaylorSpline | Taylor representation of a B-Spline |
| TaylorSpline.dierckx | Taylor representation of a B-Spline |
| TaylorSpline.fd | Taylor representation of a B-Spline |
| TaylorSpline.fdPar | Taylor representation of a B-Spline |
| TaylorSpline.fdSmooth | Taylor representation of a B-Spline |
| times.fd | Arithmetic on functional data ('fd') objects |
| tperm.fd | Permutation t-test for two groups of functional data objects. |
| var.fd | Variance, Covariance, and Correlation Surfaces for Functional Data Object(s) |
| varmx | Rotate a Matrix of Component Loadings using the VARIMAX Criterion |
| varmx.cca.fd | Rotation of Functional Canonical Components with VARIMAX |
| varmx.pca.fd | Rotation of Functional Principal Components with VARIMAX Criterion |
| vec2Lfd | Make a Linear Differential Operator Object from a Vector |
| weeks | Numeric and character vectors to facilitate working with dates |
| wtcheck | Check a vector of weights |
| zerofind | Does the range of the input contain 0? |