Functional Data Analysis


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Documentation for package `fda' version 1.1.2

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

-- B --

basisfd Define a Functional Basis Object
bsplinepen B-Spline Penalty Matrix
bsplineS B-spline Basis Function Values

-- C --

cca.fd Functional Canonical Correlation Analysis
center.fd Center Functional Data
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
cycleplot.fd Plot Cycles for a Periodic Bivariate Functional Data Object

-- D --

data2fd Convert Discrete Data to Functional Data
density.fd Compute a Probability Density Function
deriv.fd Compute a Derivative of a Functional Data Object
df2lambda Convert Degrees of Freedom to a Smoothing Parameter Value

-- E --

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
expon Exponential Basis Function Values
exponpen Exponential Penalty Matrix

-- F --

fd Define a Functional Data Object
fdPar Define a Functional Parameter Object
fourier Fourier Basis Function Values
fourierpen Fourier Penalty Matrix
fRegress A Functional Regression Analysis of the Concurrent Type
fRegress.CV Computes Cross-validated Error Sum of Squares for a Functional Regression Model
fRegress.stderr Compute Standard errors of Coefficient Functions Estimated by Functional Regression Analysis

-- G --

getbasismatrix Values of Basis Functions or their Derivatives
getbasispenalty Evaluate a Roughness Penalty Matrix

-- I --

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"

-- L --

lambda2df Convert Smoothing Parameter to Degrees of Freedom
lambda2gcv Compute GCV Criterion
landmarkreg Landmark Registration of Functional Observations
Lfd Define a Linear Differential Operator Object
lines.fd Add Lines from Functional Data to a Plot
linmod Fit Fully Functional Linear Model

-- M --

mean.fd Mean of Functional Data
monomial Evaluate Monomial Basis
monomialpen Evaluate Monomial Roughness Penalty Matrix

-- O --

odesolv Numerical Solution mth Order Differential Equation System

-- P --

pca.fd Functional Principal Components Analysis
pda.fd Principal Differential Analysis
plot.basisfd Plot a Basis Object
plot.fd Plot a Functional Data Object
plotfit.fd Plot a Functional Data Object With Data
plotscores Plot Principal Component Scores
polyg Polygonal Basis Function Values
polygpen Polygonal Penalty Matrix
powerbasis Power Basis Function Values
powerpen Power Penalty Matrix
project.basis Approximate Functional Data Using a Basis

-- R --

register.fd Register Functional Data Objects Using a Continuous Criterion

-- S --

smooth.basis Smooth Data with a Roughness Penalty
smooth.fd Smooth a Functional Data Object Using a Roughness Penalty
smooth.monotone Monotone Smoothing of Data
smooth.morph Estimates a Smooth Warping Function
smooth.pos Smooth Data with a Positive Function
std.fd Standard Deviation of Functional Data
stddev.fd Standard Deviation of Functional Data
sum.fd Sum of Functional Data
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

-- V --

var.fd Variance and Covariance Surfaces for a Functional Data Object
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