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fda (version 1.2.3)

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

16,499

Version

1.2.3

License

GPL (>= 2)

Maintainer

S by Jim Ramsey

Last Published

September 17th, 2024

Functions in fda (1.2.3)

basisfd

Define a Functional Basis Object
handwrit

Cursive handwriting samples
eval.penalty

Evaluate a Basis Penalty Matrix
data2fd

Convert Discrete Data to Functional Data
plot.basisfd

Plot a Basis Object
eval.bifd

Values a Two-argument Functional Data Object
create.fourier.basis

Create a Fourier Basis
axisIntervals

Mark Intervals on a Plot Axis
basisfd.product

Product of two basisfd objects
powerbasis

Power Basis Function Values
arithmetic.fd

Arithmetic on functional data ('fd') objects
CanadianWeather

Canadian average annual weather cycle
create.exponential.basis

Create an Exponential Basis
expect.phi

Expectatation of basis functions
bsplinepen

B-Spline Penalty Matrix
CSTR

Continuously Stirred Temperature Reactor
create.monomial.basis

Create a Monomial Basis
Lfd

Define a Linear Differential Operator Object
center.fd

Center Functional Data
monthAccessories

Numeric and character vectors to facilitate working with dates
deriv.fd

Compute a Derivative of a Functional Data Object
fourier

Fourier Basis Function Values
bifd

Create a bivariate functional data object
eval.monfd

Values of a Monotone Functional Data Object
arithmetic.basisfd

Arithmatic on functional basis objects
fda-internal

FDA internal functions
lip

Lip motion
fRegress.CV

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

Plot a Functional Data Object With Data
phaseplanePlot

Phase-plane plot
growth

Berkeley Growth Study data
lambda2gcv

Compute GCV Criterion
eval.basis

Values of Basis Functions or their Derivatives
is.basis

Confirm Object is Class "Basisfd"
exponpen

Exponential Penalty Matrix
smooth.basisPar

Smooth Data Using a Directly Specified Roughness Penalty
is.fd

Confirm Object has Class "fd"
powerpen

Power Penalty Matrix
gait

Hip and knee angle while walking
pinch

pinch force data
pda.fd

Principal Differential Analysis
create.polynomial.basis

Create a Polynomial Basis
monomialpen

Evaluate Monomial Roughness Penalty Matrix
density.fd

Compute a Probability Density Function
pca.fd

Functional Principal Components Analysis
create.constant.basis

Create a Constant Basis
nls

Nonlinear Least Squares
smooth.fdPar

Smooth a functional data object using a directly specified roughness penalty
is.fdPar

Confirm Object has Class "fdPar"
objAndNames

Add names to an object
mean.fd

Mean of Functional Data
odesolv

Numerical Solution mth Order Differential Equation System
polygpen

Polygonal Penalty Matrix
fRegress.stderr

Compute Standard errors of Coefficient Functions Estimated by Functional Regression Analysis
create.bspline.basis

Create a B-spline Basis
getbasisrange

Extract the range from a basis object
monomial

Evaluate Monomial Basis
project.basis

Approximate Functional Data Using a Basis
lambda2df

Convert Smoothing Parameter to Degrees of Freedom
nondurables

Nondurable goods index
cycleplot.fd

Plot Cycles for a Periodic Bivariate Functional Data Object
sd.fd

Standard Deviation of Functional Data
evaldiag.bifd

Evaluate the Diagonal of a Bivariate Functional Data Object
eval.fd

Values of a Functional Data Object
fd

Define a Functional Data Object
getbasismatrix

Values of Basis Functions or their Derivatives
landmarkreg

Landmark Registration of Functional Observations
create.polygonal.basis

Create a Polygonal Basis
summary.bifd

Summarize a Bivariate Functional Data Object
svd2

singular value decomposition with automatic error handling
summary.basisfd

Summarize a Functional Data Object
melanoma

melanoma 1936-1972
eval.posfd

Evaluate a Positive Functional Data Object
fourierpen

Fourier Penalty Matrix
create.power.basis

Create a Power Basis Object
smooth.pos

Smooth Data with a Positive Function
df2lambda

Convert Degrees of Freedom to a Smoothing Parameter Value
fdPar

Define a Functional Parameter Object
zerofind

Does the range of the input contain 0?
smooth.fd

Smooth a Functional Data Object Using an Indirectly Specified Roughness Penalty
polyg

Polygonal Basis Function Values
plot.pca.fd

Plot Functional Principal Components
vec2Lfd

Make a Linear Differential Operator Object from a Vector
plot.fd

Plot a Functional Data Object
refinery

Reflux and tray level in a refinery
plotscores

Plot Principal Component Scores
varmx.pca.fd

Rotation of Functional Principal Components with VARIMAX Criterion
sum.fd

Sum of Functional Data
smooth.monotone

Monotone Smoothing of Data
expon

Exponential Basis Function Values
onechild

growth in height of one 10-year-old boy
summary.fdPar

Summarize a Functional Parameter Object
var.fd

Variance, Covariance, and Correlation Surfaces for Functional Data Object(s)
register.fd

Register Functional Data Objects Using a Continuous Criterion
smooth.basis

Smooth Data with an Indirectly Specified Roughness Penalty
summary.Lfd

Summarize a Linear Differential Operator Object
smooth.morph

Estimates a Smooth Warping Function
varmx

Rotate a Matrix of Component Loadings using the VARIMAX Criterion
bsplineS

B-spline Basis Function Values
cor.fd

Correlation matrix from functional data object(s)
inprod.bspline

Compute Inner Products B-spline Expansions.
int2Lfd

Convert Integer to Linear Differential Operator
inprod

Inner products of Functional Data Objects.
cca.fd

Functional Canonical Correlation Analysis
getbasispenalty

Evaluate a Roughness Penalty Matrix
fRegress

A Functional Regression Analysis of the Concurrent Type
intensity.fd

Intensity Function for Point Process
quadset

Quadrature points and weights for Simpson's rule
varmx.cca.fd

Rotation of Functional Canonical Components with VARIMAX
summary.fd

Summarize a Functional Data Object
is.Lfd

Confirm Object has Class "Lfd"
lines.fd

Add Lines from Functional Data to a Plot
linmod

Fit Fully Functional Linear Model