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fda (version 5.5.1)

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 and in Ramsay, J. O., Hooker, Giles, and Graves, Spencer (2009). Functional Data Analysis with R and Matlab (Springer). The package includes data sets and script files working many examples including all but one of the 76 figures in this latter book. Matlab versions are available by ftp from .

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Version

Install

install.packages('fda')

Monthly Downloads

16,499

Version

5.5.1

License

GPL (>= 2)

Maintainer

S by Jim Ramsey

Last Published

November 17th, 2021

Functions in fda (5.5.1)

Fperm.fd

Permutation F-test for functional linear regression.
axisIntervals

Mark Intervals on a Plot Axis
checkLogicalInteger

Does an argument satisfy required conditions?
covPACE

Estimate of the covariance surface
basisfd

Define a Functional Basis Object
cor.fd

Correlation matrix from functional data object(s)
density.fd

Compute a Probability Density Function
coef.fd

Extract functional coefficients
Fstat.fd

F-statistic for functional linear regression.
AmpPhaseDecomp

Decomposition for Amplitude and Phase Variation
CRAN

Test if running as CRAN
eval.surp

Values of a Functional Data Object Defining Surprisal Curves.
Lfd

Define a Linear Differential Operator Object
evaldiag.bifd

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

Compute a Derivative of a Functional Data Object
lambda2df

Convert Smoothing Parameter to Degrees of Freedom
MontrealTemp

Montreal Daily Temperature
as.array3

Reshape a vector or array to have 3 dimensions.
lambda2gcv

Compute GCV Criterion
Eigen

Eigenanalysis preserving dimnames
ReginaPrecip

Regina Daily Precipitation
Data2fd

Create a functional data object from data
as.fd

Convert a spline object to class 'fd'
objAndNames

Add names to an object
arithmetic.basisfd

Arithmatic on functional basis objects
odesolv

Numerical Solution mth Order Differential Equation System
center.fd

Center Functional Data
StatSciChinese

Statistical Science in Chinese
create.constant.basis

Create a Constant Basis
checkDims3

Compare dimensions and dimnames of arrays
create.exponential.basis

Create an Exponential Basis
fd

Define a Functional Data Object
growth

Berkeley Growth Study data
fbplot

Functional Boxplots
CSTR

Continuously Stirred Tank Reactor
create.fourier.basis

Create a Fourier Basis
bifd

Create a bivariate functional data object
eval.bifd

Values a Two-argument Functional Data Object
basisfd.product

Product of two basisfd objects
exponpen

Exponential Penalty Matrix
fourier

Fourier Basis Function Values
fRegress.CV

Computes Cross-validated Error Sum of Integrated Squared Errors for a Functional Regression Model
fourierpen

Fourier Penalty Matrix
eval.basis

Values of Basis Functions or their Derivatives
fdlabels

Extract plot labels and names for replicates and variables
gait

Hip and knee angle while walking
polintmat

Polynomial extrapolation for a converging sequence of one or more values
handwrit

Cursive handwriting samples
norder

Order of a B-spline
nondurables

Nondurable goods index
is.fd

Confirm Object has Class "fd"
is.fdPar

Confirm Object has Class "fdPar"
plot.Lfd

Plot a Linear Differential Operator Object
is.basis

Confirm Object is Class "Basisfd"
is.eqbasis

Confirm that two objects of class "Basisfd" are identical
polyg

Polygonal Basis Function Values
landmark.reg.expData

Experiment data for landmark registration and alignment
landmarkreg

Landmark Registration of Functional Observations
reconsCurves

Reconstruct data curves using functional principal components
quadset

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

Smooth a Functional Data Object Using an Indirectly Specified Roughness Penalty
smooth.bibasis

Smooth a discrete surface over a rectangular lattice
CanadianWeather

Canadian average annual weather cycle
plot.basisfd

Plot a Basis Object
bsplinepen

B-Spline Penalty Matrix
melanoma

melanoma 1936-1972
cycleplot.fd

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

Functional Canonical Correlation Analysis
create.basis

Create Basis Set for Functional Data Analysis
dateAccessories

Numeric and character vectors to facilitate working with dates
create.bspline.basis

Create a B-spline Basis
plotreg.fd

Plot the results of the registration of a set of curves
eval.monfd

Values of a Monotone Functional Data Object
fdParcheck

Convert fd or basisfd Objects to fdPar Objects
fda-package

Functional Data Analysis in R
geigen

Generalized eigenanalysis
create.monomial.basis

Create a Monomial Basis
eval.fd

Values of a Functional Data Object
monfn

Evaluate the a monotone function
getbasismatrix

Values of Basis Functions or their Derivatives
plot.cca.fd

Plot Functional Canonical Correlation Weight Functions
arithmetic.fd

Arithmetic on functional data ('fd') objects
plot.fd

Plot a Functional Data Object
plotbeta

Plot a functional parameter object with confidence limits
project.basis

Approximate Functional Data Using a Basis
seabird

Sea Bird Counts
predict.fRegress

Predict method for Functional Regression
plotscores

Plot Principal Component Scores
intensity.fd

Intensity Function for Point Process
register.fd

Register Functional Data Objects Using a Continuous Criterion
as.POSIXct1970

as.POXIXct for number of seconds since the start of 1970.
bifdPar

Define a Bivariate Functional Parameter Object
plotfit

Plot a Functional Data Object With Data
smooth.basis

Construct a functional data object by smoothing data using a roughness penalty
df2lambda

Convert Degrees of Freedom to a Smoothing Parameter Value
expon

Exponential Basis Function Values
exponentiate.fd

Powers of a functional data ('fd') object
df.residual.fRegress

Degrees of Freedom for Residuals from a Functional Regression
is.Lfd

Confirm Object has Class "Lfd"
fRegress.stderr

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

Extract the range from a basis object
getbasispenalty

Evaluate a Roughness Penalty Matrix
bsplineS

B-spline Basis Function Values
fRegress

Functional Regression Analysis
stepit

Compute a new step size for a linear search within an optimization algorithm.
is.fdSmooth

Confirm Object has Class "fdSmooth"
create.power.basis

Create a Power Basis Object
create.polygonal.basis

Create a Polygonal Basis
matplot

Plot Columns of Matrices
sparse.mat

Creates a matrix of sparse data with NAs out of a list
eigen.pda

Stability Analysis for Principle Differential Analysis
mean.fd

Mean of Functional Data
eval.posfd

Evaluate a Positive Functional Data Object
dirs

Get subdirectories
eval.penalty

Evaluate a Basis Penalty Matrix
knots.fd

Extract the knots from a function basis or data object
mongrad

Evaluate the gradient of a monotone function
register.newfd

Register Functional Data Objects with Pre-Computed Warping Functions
lines.fd

Add Lines from Functional Data to a Plot
smooth.fdPar

Smooth a functional data object using a directly specified roughness penalty
sum.fd

Sum of Functional Data
stepchk

Check a step size value for being within parameter limits.
pca.fd

Functional Principal Components Analysis
monhess

Evaluate the Hessian matrix of a monotone function
pcaPACE

Estimate the functional principal components
fd2list

Convert a univariate functional data object to a list
plot.pca.fd

Plot Functional Principal Components
fdPar

Define a Functional Parameter Object
scoresPACE

Estimates of functional Principal Component scores through PACE
sd.fd

Standard Deviation of Functional Data
plot.pda.fd

Plot Principle Differential Analysis Components
summary.bifd

Summarize a Bivariate Functional Data Object
smooth.sparse.mean

Smooth the mean function of sparse data
smooth.monotone

Monotone Smoothing of Data
smooth.pos

Smooth Data with a Positive Function
infantGrowth

Tibia Length for One Baby
varmx.cca.fd

Rotation of Functional Canonical Components with VARIMAX
summary.fd

Summarize a Functional Data Object
varmx

Rotate a Matrix of Component Loadings using the VARIMAX Criterion
inprod.bspline

Compute Inner Products B-spline Expansions.
ppBspline

Convert a B-spline function to piece-wise polynomial form
phaseplanePlot

Phase-plane plot
smooth.surp

Fit data with surprisal smoothing.
inprod

Inner products of Functional Data Objects.
tperm.fd

Permutation t-test for two groups of functional data objects.
symsolve

solve(A, B) where A is symmetric
linmod

Fit Fully Functional Linear Model
wtcheck

Check a vector of weights
powerpen

Power Penalty Matrix
int2Lfd

Convert Integer to Linear Differential Operator
pinch

pinch force data
smooth.morph

Estimates a Smooth Warping Function Mapping an Interval into Itself.
sparse.list

Creates a list of sparse data from a matrix
lip

Lip motion
lnsrch

Search along a line for a minimum within an optimisation algorithm.
monomial

Evaluate Monomial Basis
monomialpen

Evaluate Monomial Roughness Penalty Matrix
pda.overlay

Stability Analysis for Principle Differential Analysis
pda.fd

Principal Differential Analysis
trapzmat

Approximate the functional inner product of two functional data objects using the trapezpoidal rule over a fine mesh of value.
smooth.basis.sparse

Construct a functional data object by smoothing data using a roughness penalty
ycheck

Check Data Arrays for Smoothing Functions
powerbasis

Power Basis Function Values
polygpen

Polygonal Penalty Matrix
smooth.morph2

Estimates a Smooth Warping Function Mapping an Interval into Another
zerobasis

Orthonormal Matrix with Columns Summing to Zero
zerofind

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

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

Smooth Data Using a Directly Specified Roughness Penalty
summary.basisfd

Summarize a Functional Data Object
summary.Lfd

Summarize a Linear Differential Operator Object
surp.fit

Evaluate the fit of surprisal curves to binned psychometric data.
varmx.pca.fd

Rotation of Functional Principal Components with VARIMAX Criterion
summary.fdPar

Summarize a Functional Parameter Object
vec2Lfd

Make a Linear Differential Operator Object from a Vector
ElectricDemand

Predicting electricity demand in Adelaide from temperature