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fda (version 5.5.0)

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

5.5.0

License

GPL (>= 2)

Maintainer

S by Jim Ramsey

Last Published

October 29th, 2021

Functions in fda (5.5.0)

CRAN

Test if running as CRAN
Fperm.fd

Permutation F-test for functional linear regression.
Lfd

Define a Linear Differential Operator Object
Fstat.fd

F-statistic for functional linear regression.
Data2fd

Create a functional data object from data
CanadianWeather

Canadian average annual weather cycle
ElectricDemand

Predicting electricity demand in Adelaide from temperature
CSTR

Continuously Stirred Tank Reactor
AmpPhaseDecomp

Decomposition for Amplitude and Phase Variation
Eigen

Eigenanalysis preserving dimnames
as.array3

Reshape a vector or array to have 3 dimensions.
arithmetic.fd

Arithmetic on functional data ('fd') objects
ReginaPrecip

Regina Daily Precipitation
coef.fd

Extract functional coefficients
checkLogicalInteger

Does an argument satisfy required conditions?
MontrealTemp

Montreal Daily Temperature
as.fd

Convert a spline object to class 'fd'
basisfd

Define a Functional Basis Object
axisIntervals

Mark Intervals on a Plot Axis
cca.fd

Functional Canonical Correlation Analysis
bsplinepen

B-Spline Penalty Matrix
StatSciChinese

Statistical Science in Chinese
as.POSIXct1970

as.POXIXct for number of seconds since the start of 1970.
arithmetic.basisfd

Arithmatic on functional basis objects
create.fourier.basis

Create a Fourier Basis
create.basis

Create Basis Set for Functional Data Analysis
basisfd.product

Product of two basisfd objects
create.bspline.basis

Create a B-spline Basis
center.fd

Center Functional Data
bifdPar

Define a Bivariate Functional Parameter Object
bifd

Create a bivariate functional data object
checkDims3

Compare dimensions and dimnames of arrays
cycleplot.fd

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

Create a Monomial Basis
bsplineS

B-spline Basis Function Values
create.power.basis

Create a Power Basis Object
create.polygonal.basis

Create a Polygonal Basis
cor.fd

Correlation matrix from functional data object(s)
getbasisrange

Extract the range from a basis object
dirs

Get subdirectories
exponentiate.fd

Powers of a functional data ('fd') object
deriv.fd

Compute a Derivative of a Functional Data Object
expon

Exponential Basis Function Values
density.fd

Compute a Probability Density Function
fourier

Fourier Basis Function Values
fdlabels

Extract plot labels and names for replicates and variables
is.basis

Confirm Object is Class "Basisfd"
getbasispenalty

Evaluate a Roughness Penalty Matrix
is.eqbasis

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

Functional Boxplots
matplot

Plot Columns of Matrices
eval.penalty

Evaluate a Basis Penalty Matrix
eigen.pda

Stability Analysis for Principle Differential Analysis
eval.posfd

Evaluate a Positive Functional Data Object
mongrad

Evaluate the gradient of a monotone function
monhess

Evaluate the Hessian matrix of a monotone function
mean.fd

Mean of Functional Data
fd

Define a Functional Data Object
create.constant.basis

Create a Constant Basis
is.fd

Confirm Object has Class "fd"
eval.surp

Values of a Functional Data Object Defining Surprisal Curves.
df.residual.fRegress

Degrees of Freedom for Residuals from a Functional Regression
fdParcheck

Convert fd or basisfd Objects to fdPar Objects
fRegress.CV

Computes Cross-validated Error Sum of Integrated Squared Errors for a Functional Regression Model
create.exponential.basis

Create an Exponential Basis
exponpen

Exponential Penalty Matrix
df2lambda

Convert Degrees of Freedom to a Smoothing Parameter Value
geigen

Generalized eigenanalysis
evaldiag.bifd

Evaluate the Diagonal of a Bivariate Functional Data Object
dateAccessories

Numeric and character vectors to facilitate working with dates
fd2list

Convert a univariate functional data object to a list
getbasismatrix

Values of Basis Functions or their Derivatives
covPACE

Estimate of the covariance surface
pinch

pinch force data
plotbeta

Plot a functional parameter object with confidence limits
fdPar

Define a Functional Parameter Object
phaseplanePlot

Phase-plane plot
plotfit

Plot a Functional Data Object With Data
eval.basis

Values of Basis Functions or their Derivatives
growth

Berkeley Growth Study data
eval.bifd

Values a Two-argument Functional Data Object
eval.fd

Values of a Functional Data Object
landmarkreg

Landmark Registration of Functional Observations
melanoma

melanoma 1936-1972
is.fdPar

Confirm Object has Class "fdPar"
monomial

Evaluate Monomial Basis
landmark.reg.expData

Experiment data for landmark registration and alignment
handwrit

Cursive handwriting samples
monomialpen

Evaluate Monomial Roughness Penalty Matrix
intensity.fd

Intensity Function for Point Process
monfn

Evaluate the a monotone function
plot.cca.fd

Plot Functional Canonical Correlation Weight Functions
predict.fRegress

Predict method for Functional Regression
smooth.morph

Estimates a Smooth Warping Function Mapping an Interval into Itself.
plot.fd

Plot a Functional Data Object
polintmat

Polynomial extrapolation for a converging sequence of one or more values
is.Lfd

Confirm Object has Class "Lfd"
project.basis

Approximate Functional Data Using a Basis
lines.fd

Add Lines from Functional Data to a Plot
polyg

Polygonal Basis Function Values
quadset

Quadrature points and weights for Simpson's rule
stepit

Compute a new step size for a linear search within an optimization algorithm.
smooth.morph2

Estimates a Smooth Warping Function Mapping an Interval into Another
linmod

Fit Fully Functional Linear Model
pda.fd

Principal Differential Analysis
pda.overlay

Stability Analysis for Principle Differential Analysis
infantGrowth

Tibia Length for One Baby
inprod.bspline

Compute Inner Products B-spline Expansions.
fda-package

Functional Data Analysis in R
eval.monfd

Values of a Monotone Functional Data Object
fRegress

Functional Regression Analysis
sum.fd

Sum of Functional Data
summary.fdPar

Summarize a Functional Parameter Object
ppBspline

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

solve(A, B) where A is symmetric
fRegress.stderr

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

Fourier Penalty Matrix
powerpen

Power Penalty Matrix
gait

Hip and knee angle while walking
is.fdSmooth

Confirm Object has Class "fdSmooth"
plotreg.fd

Plot the results of the registration of a set of curves
register.newfd

Register Functional Data Objects with Pre-Computed Warping Functions
plotscores

Plot Principal Component Scores
register.fd

Register Functional Data Objects Using a Continuous Criterion
tperm.fd

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

Does the range of the input contain 0?
zerobasis

Orthonormal Matrix with Columns Summing to Zero
reconsCurves

Reconstruct data curves using functional principal components
knots.fd

Extract the knots from a function basis or data object
lip

Lip motion
lambda2df

Convert Smoothing Parameter to Degrees of Freedom
smooth.bibasis

Smooth a discrete surface over a rectangular lattice
smooth.fd

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

Inner products of Functional Data Objects.
lambda2gcv

Compute GCV Criterion
int2Lfd

Convert Integer to Linear Differential Operator
objAndNames

Add names to an object
smooth.monotone

Monotone Smoothing of Data
smooth.fdPar

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

Numerical Solution mth Order Differential Equation System
stepchk

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

Variance, Covariance, and Correlation Surfaces for Functional Data Object(s)
sparse.mat

Creates a matrix of sparse data with NAs out of a list
trapzmat

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

Fit data with surprisal smoothing.
sparse.list

Creates a list of sparse data from a matrix
pca.fd

Functional Principal Components Analysis
surp.fit

Evaluate the fit of surprisal curves to binned psychometric data.
pcaPACE

Estimate the functional principal components
lnsrch

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

Nondurable goods index
plot.pca.fd

Plot Functional Principal Components
plot.pda.fd

Plot Principle Differential Analysis Components
polygpen

Polygonal Penalty Matrix
plot.basisfd

Plot a Basis Object
norder

Order of a B-spline
plot.Lfd

Plot a Linear Differential Operator Object
smooth.sparse.mean

Smooth the mean function of sparse data
smooth.pos

Smooth Data with a Positive Function
varmx

Rotate a Matrix of Component Loadings using the VARIMAX Criterion
seabird

Sea Bird Counts
varmx.cca.fd

Rotation of Functional Canonical Components with VARIMAX
smooth.basis

Construct a functional data object by smoothing data using a roughness penalty
varmx.pca.fd

Rotation of Functional Principal Components with VARIMAX Criterion
scoresPACE

Estimates of functional Principal Component scores through PACE
vec2Lfd

Make a Linear Differential Operator Object from a Vector
powerbasis

Power Basis Function Values
smooth.basis.sparse

Construct a functional data object by smoothing data using a roughness penalty
sd.fd

Standard Deviation of Functional Data
summary.bifd

Summarize a Bivariate Functional Data Object
summary.Lfd

Summarize a Linear Differential Operator Object
smooth.basisPar

Smooth Data Using a Directly Specified Roughness Penalty
ycheck

Check Data Arrays for Smoothing Functions
summary.basisfd

Summarize a Functional Data Object
summary.fd

Summarize a Functional Data Object
wtcheck

Check a vector of weights