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fda (version 1.1.8)

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

15,929

Version

1.1.8

License

GPL version 2 or later

Maintainer

S by Jim Ramsey

Last Published

September 17th, 2024

Functions in fda (1.1.8)

expon

Exponential Basis Function Values
fRegress.CV

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

Functional Canonical Correlation Analysis
exponpen

Exponential Penalty Matrix
monomial

Evaluate Monomial Basis
fRegress.stderr

Compute Standard errors of Coefficient Functions Estimated by Functional Regression Analysis
axisIntervals

Mark Intervals on a Plot Axis
eval.penalty

Evaluate a Basis Penalty Matrix
create.constant.basis

Create a Constant Basis
mean.fd

Mean of Functional Data
project.basis

Approximate Functional Data Using a Basis
eval.basis

Values of Basis Functions or their Derivatives
center.fd

Center Functional Data
create.polygonal.basis

Create a Polygonal Basis
cycleplot.fd

Plot Cycles for a Periodic Bivariate Functional Data Object
inprod.bspline

Compute Inner Products B-spline Expansions.
getbasispenalty

Evaluate a Roughness Penalty Matrix
smooth.fdPar

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

Create a bivariate functional data object
fd

Define a Functional Data Object
Lfd

Define a Linear Differential Operator Object
create.exponential.basis

Create an Exponential Basis
cor.fd

Correlation matrix from functional data object(s)
plot.basisfd

Plot a Basis Object
sd.fd

Standard Deviation of Functional Data
data2fd

Convert Discrete Data to Functional Data
smooth.pos

Smooth Data with a Positive Function
powerpen

Power Penalty Matrix
fourier

Fourier Basis Function Values
fRegress

A Functional Regression Analysis of the Concurrent Type
varmx.pca.fd

Rotation of Functional Principal Components with VARIMAX Criterion
plotscores

Plot Principal Component Scores
objAndNames

Add names to an object
pca.fd

Functional Principal Components Analysis
create.bspline.basis

Create a B-spline Basis
summary.fdPar

Summarize a Functional Parameter Object
fda-internal

FDA internal functions
bsplineS

B-spline Basis Function Values
polyg

Polygonal Basis Function Values
polygpen

Polygonal Penalty Matrix
summary.fd

Summarize a Functional Data Object
landmarkreg

Landmark Registration of Functional Observations
vec2Lfd

Make a Linear Differential Operator Object from a Vector
gait

Hip and knee angle while walking
bsplinepen

B-Spline Penalty Matrix
is.fdPar

Confirm Object has Class "fdPar"
var.fd

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

Monotone Smoothing of Data
intensity.fd

Intensity Function for Point Process
phaseplanePlot

Plane-plane plot
fourierpen

Fourier Penalty Matrix
df2lambda

Convert Degrees of Freedom to a Smoothing Parameter Value
eval.bifd

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

Create a Fourier Basis
summary.bifd

Summarize a Bivariate Functional Data Object
eval.monfd

Values of a Monotone Functional Data Object
monomialpen

Evaluate Monomial Roughness Penalty Matrix
varmx.cca.fd

Rotation of Functional Canonical Components with VARIMAX
create.polynomial.basis

Create a Polynomial Basis
is.fd

Confirm Object has Class "fd"
is.Lfd

Confirm Object has Class "Lfd"
evaldiag.bifd

Evaluate the Diagonal of a Bivariate Functional Data Object
odesolv

Numerical Solution mth Order Differential Equation System
int2Lfd

Convert Integer to Linear Differential Operator
linmod

Fit Fully Functional Linear Model
zerofind

Does the range of the input contain 0?
fdPar

Define a Functional Parameter Object
lines.fd

Add Lines from Functional Data to a Plot
smooth.morph

Estimates a Smooth Warping Function
lambda2df

Convert Smoothing Parameter to Degrees of Freedom
pda.fd

Principal Differential Analysis
smooth.fd

Smooth a Functional Data Object Using an Indirectly Specified Roughness Penalty
is.basis

Confirm Object is Class "Basisfd"
lambda2gcv

Compute GCV Criterion
deriv.fd

Compute a Derivative of a Functional Data Object
eval.fd

Values of a Functional Data Object
powerbasis

Power Basis Function Values
sum.fd

Sum of Functional Data
create.power.basis

Create a Power Basis Object
getbasismatrix

Values of Basis Functions or their Derivatives
plotfit.fd

Plot a Functional Data Object With Data
register.fd

Register Functional Data Objects Using a Continuous Criterion
create.monomial.basis

Create a Monomial Basis
basisfd

Define a Functional Basis Object
density.fd

Compute a Probability Density Function
eval.posfd

Evaluate a Positive Functional Data Object
inprod

Inner products of Functional Data Objects.
plot.fd

Plot a Functional Data Object
summary.Lfd

Summarize a Linear Differential Operator Object
smooth.basisPar

Smooth Data Using a Directly Specified Roughness Penalty
smooth.basis

Smooth Data with an Indirectly Specified Roughness Penalty
varmx

Rotate a Matrix of Component Loadings using the VARIMAX Criterion
CanadianWeather

Canadian average annual weather cycle
growth

Berkeley Growth Study data
lip

Lip motion
refinery

Reflux and tray level in a refinery
handwrit

Cursive handwriting samples
monthAccessories

Numeric and character vectors to facilitate working with dates
melanoma

melanoma 1936-1972
onechild

growth in height of one 10-year-old boy
nondurables

Nondurable goods index
pinch

pinch force data