Functional Data Analysis

B C D E F G I L M P R S V W

-- B --

bsplinepen	B-Spline Penalty Matrix
bsplineS	B-spline Basis Function Values

-- C --

cca.2fun.fd	Canonical Correlation for Two Functional Data Objects
cca.fd	Canonical correlation analysis
center.fd	Center Functional Data
create.basis	Create a Basis Object
create.bifd	Create a Two-Argument Functional Data Object
create.bspline.basis	Create a set of B-spline basis functions for constructing a functional data object.
create.constant.basis	Create a Constant Basis
create.exponential.basis	Create an Exponential Basis
create.fd	Create a Functional Data Object
create.fourier.basis	Create a set of Fourier basis functions for constructing a functional data object.
create.polygonal.basis	Create a Polygonal Basis
create.power.basis	Create a Power Basis Object

-- D --

data2fd	Convert Discrete Data to Functional Data
densityfd	Compute a Probability Density Function
derivFd	Compute a Derivative Functional Data Object
df2lambda	Convert Degrees of Freedom to Smoothing Parameter

-- E --

eval.bifd	Evaluate a Two-argument Functional Data Object
eval.fd	Evaluate a Functional Data Object
eval.monfd	Evaluate a Monotone Functional Data Object
expon	Exponential Basis Function Values
exponpen	Exponential Penalty Matrix

-- F --

fourier	Fourier Basis Function Values
fourierpen	Fourier Penalty Matrix

-- G --

getbasis	Get the Basis Object from a Functional Data Object
getbasismatrix	Get Values of Basis Functions
getbasispenalty	Evaluate a Roughness Penalty Matrix
getbasistype	Get the Basis Type from a Basis Object
getcoef	Get the Coefficient Array from a Functional Data Object

-- I --

Inner product of two functional data objects or two basis objects

-- L --

lambda2df	Convert Smoothing Parameter to Degrees of Freedom
landmarkreg	Registration of Functional Observations Using Landmarks
linesFd	Add Lines from Functional Data to a Plot
linmod.fd	Fit One of Three Types of Functional Linear Model.

-- M --

Mean of Functional Data

-- P --

pca.fd	Functional Principal Components Analysis
plotCcaFd	Plot Output from Canonical Correlation Function CCA.FD
plotFd	Plot a Functional Data Object
plotfit.fd	Plot a Functional Data Object Along with Data
plotPcaFd	Plot Output from Principal Components Analysis Function PCA.FD
polyg	Polygonal Basis Function Values
polygpen	Polygonal Penalty Matrix
posfd	Smooth Data with a Positive Function using a Roughness Penalty
powerbasis	Power Basis Function Values
powerpen	Power Penalty Matrix
printFd	Print a Functional Data Object
project.basis	Approximate Functional Data Using a Basis

-- R --

Register Functional Data Objects

-- S --

smooth.basis	Smooth Data using a Roughness Penalty
smooth.fd	Smooth a Functional Data Object Using a Roughness Penalty
smooth.monotone	Monotone Smoothing of Data
smooth.Pspline	Smooth Data with Using mth Derivative Penalty
std.fd	Standard Deviation of Functional Data
sumFd	Sum of Functional Data
summaryFd	Summarize a Functional Data Object

-- V --

var.fd	Variance and Covariance Surfaces for a Functional Data Object
varmx.pca.fd	Rotation of Functional Principal Components with VARIMAX Criterion

-- W --

A Smooth Monotone Warping Function