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fda (version 1.2.2)

Functional Data Analysis

Description

These functions were developed to support functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis. New York: Springer. They were ported from earlier versions in Matlab and S-PLUS. A manual that describes the use of these functions is available in this library. The library also contains a number of the data sets used in the book along with R code for the analyses that produced many of the figures in the book.

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Version

Install

install.packages('fda')

Monthly Downloads

13,909

Version

1.2.2

License

GPL version 2 or later

Maintainer

S by Jim Ramsey

Last Published

September 17th, 2024

Functions in fda (1.2.2)

bifd

Create a bivariate functional data object
fRegress

A Functional Regression Analysis of the Concurrent Type
eval.penalty

Evaluate a Basis Penalty Matrix
expon

Exponential Basis Function Values
df2lambda

Convert Degrees of Freedom to a Smoothing Parameter Value
expect.phi

Expectatation of basis functions
create.constant.basis

Create a Constant Basis
powerbasis

Power Basis Function Values
CSTR

Continuously Stirred Temperature Reactor
deriv.fd

Compute a Derivative of a Functional Data Object
basisfd.product

Product of two basisfd objects
basisfd

Define a Functional Basis Object
varmx

Rotate a Matrix of Component Loadings using the VARIMAX Criterion
is.fd

Confirm Object has Class "fd"
plotfit.fd

Plot a Functional Data Object With Data
center.fd

Center Functional Data
pda.fd

Principal Differential Analysis
CanadianWeather

Canadian average annual weather cycle
polygpen

Polygonal Penalty Matrix
objAndNames

Add names to an object
getbasispenalty

Evaluate a Roughness Penalty Matrix
create.exponential.basis

Create an Exponential Basis
eval.monfd

Values of a Monotone Functional Data Object
cca.fd

Functional Canonical Correlation Analysis
cor.fd

Correlation matrix from functional data object(s)
smooth.fdPar

Smooth a functional data object using a directly specified roughness penalty
phaseplanePlot

Plane-plane plot
axisIntervals

Mark Intervals on a Plot Axis
fda-internal

FDA internal functions
sum.fd

Sum of Functional Data
nls

Nonlinear Least Squares
getbasismatrix

Values of Basis Functions or their Derivatives
fdPar

Define a Functional Parameter Object
summary.basisfd

Summarize a Functional Data Object
Lfd

Define a Linear Differential Operator Object
smooth.monotone

Monotone Smoothing of Data
vec2Lfd

Make a Linear Differential Operator Object from a Vector
odesolv

Numerical Solution mth Order Differential Equation System
fourierpen

Fourier Penalty Matrix
create.polygonal.basis

Create a Polygonal Basis
plot.fd

Plot a Functional Data Object
create.bspline.basis

Create a B-spline Basis
summary.fdPar

Summarize a Functional Parameter Object
intensity.fd

Intensity Function for Point Process
eval.basis

Values of Basis Functions or their Derivatives
evaldiag.bifd

Evaluate the Diagonal of a Bivariate Functional Data Object
plot.basisfd

Plot a Basis Object
landmarkreg

Landmark Registration of Functional Observations
create.polynomial.basis

Create a Polynomial Basis
monomial

Evaluate Monomial Basis
summary.bifd

Summarize a Bivariate Functional Data Object
inprod.bspline

Compute Inner Products B-spline Expansions.
arithmetic.fd

Arithmetic on functional data ('fd') objects
fRegress.stderr

Compute Standard errors of Coefficient Functions Estimated by Functional Regression Analysis
var.fd

Variance, Covariance, and Correlation Surfaces for Functional Data Object(s)
smooth.basisPar

Smooth Data Using a Directly Specified Roughness Penalty
smooth.pos

Smooth Data with a Positive Function
pca.fd

Functional Principal Components Analysis
int2Lfd

Convert Integer to Linear Differential Operator
exponpen

Exponential Penalty Matrix
lambda2df

Convert Smoothing Parameter to Degrees of Freedom
summary.Lfd

Summarize a Linear Differential Operator Object
monomialpen

Evaluate Monomial Roughness Penalty Matrix
density.fd

Compute a Probability Density Function
arithmetic.basisfd

Arithmatic on functional basis objects
eval.posfd

Evaluate a Positive Functional Data Object
is.Lfd

Confirm Object has Class "Lfd"
smooth.fd

Smooth a Functional Data Object Using an Indirectly Specified Roughness Penalty
mean.fd

Mean of Functional Data
quadset

Quadrature points and weights for Simpson's rule
smooth.basis

Smooth Data with an Indirectly Specified Roughness Penalty
sd.fd

Standard Deviation of Functional Data
project.basis

Approximate Functional Data Using a Basis
powerpen

Power Penalty Matrix
create.monomial.basis

Create a Monomial Basis
smooth.morph

Estimates a Smooth Warping Function
fourier

Fourier Basis Function Values
bsplinepen

B-Spline Penalty Matrix
is.fdPar

Confirm Object has Class "fdPar"
summary.fd

Summarize a Functional Data Object
fRegress.CV

Computes Cross-validated Error Sum of Squares for a Functional Regression Model
fd

Define a Functional Data Object
zerofind

Does the range of the input contain 0?
varmx.cca.fd

Rotation of Functional Canonical Components with VARIMAX
plotscores

Plot Principal Component Scores
register.fd

Register Functional Data Objects Using a Continuous Criterion
bsplineS

B-spline Basis Function Values
create.power.basis

Create a Power Basis Object
data2fd

Convert Discrete Data to Functional Data
eval.bifd

Values a Two-argument Functional Data Object
gait

Hip and knee angle while walking
inprod

Inner products of Functional Data Objects.
lambda2gcv

Compute GCV Criterion
varmx.pca.fd

Rotation of Functional Principal Components with VARIMAX Criterion
polyg

Polygonal Basis Function Values
lines.fd

Add Lines from Functional Data to a Plot
cycleplot.fd

Plot Cycles for a Periodic Bivariate Functional Data Object
create.fourier.basis

Create a Fourier Basis
eval.fd

Values of a Functional Data Object
linmod

Fit Fully Functional Linear Model
is.basis

Confirm Object is Class "Basisfd"
svd2

singular value decomposition with automatic error handling
lip

Lip motion
melanoma

melanoma 1936-1972
handwrit

Cursive handwriting samples
monthAccessories

Numeric and character vectors to facilitate working with dates
growth

Berkeley Growth Study data
nondurables

Nondurable goods index
refinery

Reflux and tray level in a refinery
pinch

pinch force data
onechild

growth in height of one 10-year-old boy