# Functional Data Analysis

## Documentation for package ‘fda’ version 2.3.2

- DESCRIPTION file.
- Overview of user guides and package vignettes; browse directory.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

A B C D E F G H I K L M N O P Q R S T V W Z misc

fda-package | Functional Data Analysis in R

## -- A --

AmpPhaseDecomp | Decomposition for Amplitude and Phase Variation
argvalsy.swap | Swap argvals with y if the latter is simpler.
arithmetic.basisfd | Arithmatic on functional basis objects
arithmetic.fd | Arithmetic on functional data ('fd') objects
as.array3 | Reshape a vector or array to have 3 dimensions.
as.fd | Convert a spline object to class 'fd'
as.fd.dierckx | Convert a spline object to class 'fd'
as.fd.fdSmooth | Convert a spline object to class 'fd'
as.fd.function | Convert a spline object to class 'fd'
as.fd.smooth.spline | Convert a spline object to class 'fd'
as.POSIXct1970 | as.POXIXct for number of seconds since the start of 1970.
axesIntervals | Mark Intervals on a Plot Axis
axisIntervals | Mark Intervals on a Plot Axis

## -- B --

basisfd.product | Product of two basisfd objects
bifd | Create a bivariate functional data object
bifdPar | Define a Bivariate Functional Parameter Object
bsplinepen | B-Spline Penalty Matrix
bsplineS | B-spline Basis Function Values

## -- C --

CanadianWeather | Canadian average annual weather cycle
cca.fd | Functional Canonical Correlation Analysis
center.fd | Center Functional Data
checkDim3 | Compare dimensions and dimnames of arrays
checkDims3 | Compare dimensions and dimnames of arrays
checkLogical | Does an argument satisfy required conditions?
checkLogicalInteger | Does an argument satisfy required conditions?
checkNumeric | Does an argument satisfy required conditions?
coef.fd | Extract functional coefficients
coef.fdPar | Extract functional coefficients
coef.fdSmooth | Extract functional coefficients
coef.Taylor | Extract functional coefficients
coefficients.fd | Extract functional coefficients
coefficients.fdPar | Extract functional coefficients
coefficients.fdSmooth | Extract functional coefficients
coefficients.Taylor | Extract functional coefficients
constraintCheck | Support functions for lmWinsor
cor.fd | Correlation matrix from functional data object(s)
CRAN | Test if running as CRAN
create.basis | Create Basis Set for Functional Data Analysis
create.bspline.basis | Create a B-spline Basis
create.bspline.irregular | Create a B-spline Basis
create.constant.basis | Create a Constant Basis
create.exponential.basis | Create an Exponential Basis
create.fourier.basis | Create a Fourier Basis
create.monomial.basis | Create a Monomial Basis
create.polygonal.basis | Create a Polygonal Basis
create.polynomial.basis | Create a Polynomial Basis
create.power.basis | Create a Power Basis Object
CSTR | Continuously Stirred Tank Reactor
CSTR2 | Continuously Stirred Tank Reactor
CSTR2in | Continuously Stirred Tank Reactor
CSTRfitLS | Continuously Stirred Tank Reactor
CSTRfn | Continuously Stirred Tank Reactor
CSTRres | Continuously Stirred Tank Reactor
CSTRres0 | Continuously Stirred Tank Reactor
CSTRsse | Continuously Stirred Tank Reactor
cycleplot.fd | Plot Cycles for a Periodic Bivariate Functional Data Object

## -- D --

daily | Canadian average annual weather cycle
Data2fd | Create a functional data object from data
dateAccessories | Numeric and character vectors to facilitate working with dates
day.5 | Numeric and character vectors to facilitate working with dates
dayOfYear | Numeric and character vectors to facilitate working with dates
dayOfYearShifted | Numeric and character vectors to facilitate working with dates
daysPerMonth | Numeric and character vectors to facilitate working with dates
density.fd | Compute a Probability Density Function
deriv.fd | Compute a Derivative of a Functional Data Object
df.residual.fRegress | Degress of Freedom for Residuals from a Functional Regression
df2lambda | Convert Degrees of Freedom to a Smoothing Parameter Value
dirs | Get subdirectories

## -- E --

Eigen | Eigenanalysis preserving dimnames
eigen.pda | Stability Analysis for Principle Differential Analysis
eval.basis | Values of Basis Functions or their Derivatives
eval.bifd | Values a Two-argument Functional Data Object
eval.fd | Values of a Functional Data Object
eval.monfd | Values of a Monotone Functional Data Object
eval.penalty | Evaluate a Basis Penalty Matrix
eval.posfd | Evaluate a Positive Functional Data Object
evaldiag.bifd | Evaluate the Diagonal of a Bivariate Functional Data Object
expon | Exponential Basis Function Values
exponentiate.fd | Powers of a functional data ('fd') object
exponpen | Exponential Penalty Matrix

## -- F --

fbplot | Functional Boxplots
fda | Functional Data Analysis in R
fdaMatlabPath | Add 'fdaM' to the Matlab path
fdlabels | Extract plot labels and names for replicates and variables
fdPar | Define a Functional Parameter Object
file.copy2 | Copy a file with a default 'to' name
fitted.fdSmooth | Values of a Functional Data Object
fitted.monfd | Values of a Monotone Functional Data Object
fitted.posfd | Evaluate a Positive Functional Data Object
fourier | Fourier Basis Function Values
fourierpen | Fourier Penalty Matrix
Fperm.fd | Permutation F-test for functional linear regression.
fRegress | Functional Regression Analysis
fRegress.character | Functional Regression Analysis
fRegress.CV | Computes Cross-validated Error Sum of Integrated Squared Errors for a Functional Regression Model
fRegress.fd | Functional Regression Analysis
fRegress.fdPar | Functional Regression Analysis
fRegress.formula | Functional Regression Analysis
fRegress.numeric | Functional Regression Analysis
fRegress.stderr | Compute Standard errors of Coefficient Functions Estimated by Functional Regression Analysis
Fstat.fd | F-statistic for functional linear regression.

## -- G --

gait | Hip and knee angle while walking
getbasismatrix | Values of Basis Functions or their Derivatives
getbasispenalty | Evaluate a Roughness Penalty Matrix
getbasisrange | Extract the range from a basis object
growth | Berkeley Growth Study data

## -- H --

handwrit | Cursive handwriting samples
handwritTime | Cursive handwriting samples

## -- I --

infantGrowth | Tibia Length for One Baby
inprod | Inner products of Functional Data Objects.
inprod.bspline | Compute Inner Products B-spline Expansions.
int2Lfd | Convert Integer to Linear Differential Operator
intensity.fd | Intensity Function for Point Process
is.basis | Confirm Object is Class "Basisfd"
is.fd | Confirm Object has Class "fd"
is.fdPar | Confirm Object has Class "fdPar"
is.fdSmooth | Confirm Object has Class "fdSmooth"
is.Lfd | Confirm Object has Class "Lfd"

## -- K --

knots.basisfd | Extract the knots from a function basis or data object
knots.fd | Extract the knots from a function basis or data object
knots.fdSmooth | Extract the knots from a function basis or data object

## -- L --

lambda2df | Convert Smoothing Parameter to Degrees of Freedom
lambda2gcv | Compute GCV Criterion
landmark.reg.expData | Experiment data for landmark registration and alignment
landmarkreg | Landmark Registration of Functional Observations
Lfd | Define a Linear Differential Operator Object
lines.fd | Add Lines from Functional Data to a Plot
lines.fdSmooth | Add Lines from Functional Data to a Plot
linmod | Fit Fully Functional Linear Model
lip | Lip motion
lipmarks | Lip motion
liptime | Lip motion
lmeWinsor | Winsorized Regression with mixed effects
lmWinsor | Winsorized Regression
lmWinsor1 | Support functions for lmWinsor
lmWinsor2 | Support functions for lmWinsor

## -- M --

matplot | Plot Columns of Matrices
matplot.Date | Plot Columns of Matrices
matplot.default | Plot Columns of Matrices
matplot.POSIXct | Plot Columns of Matrices
mean.fd | Mean of Functional Data
melanoma | melanoma 1936-1972
minus.fd | Arithmetic on functional data ('fd') objects
monfn | Evaluates a monotone function
monomial | Evaluate Monomial Basis
monomialpen | Evaluate Monomial Roughness Penalty Matrix
monthAccessories | Numeric and character vectors to facilitate working with dates
monthBegin.5 | Numeric and character vectors to facilitate working with dates
monthEnd | Numeric and character vectors to facilitate working with dates
monthEnd.5 | Numeric and character vectors to facilitate working with dates
monthLetters | Numeric and character vectors to facilitate working with dates
monthMid | Numeric and character vectors to facilitate working with dates
MontrealTemp | Montreal Daily Temperature

## -- N --

nondurables | Nondurable goods index
norder | Order of a B-spline
norder.basisfd | Order of a B-spline
norder.bspline | Order of a B-spline
norder.default | Order of a B-spline
norder.fd | Order of a B-spline

## -- O --

objAndNames | Add names to an object
odesolv | Numerical Solution mth Order Differential Equation System
onechild | growth in height of one 10-year-old boy

## -- P --

pca.fd | Functional Principal Components Analysis
pda.fd | Principal Differential Analysis
pda.overlay | Stability Analysis for Principle Differential Analysis
phaseplanePlot | Phase-plane plot
pinch | pinch force data
pinchraw | pinch force data
pinchtime | pinch force data
plot.basisfd | Plot a Basis Object
plot.fd | Plot a Functional Data Object
plot.fdPar | Plot a Functional Data Object
plot.fdSmooth | Plot a Functional Data Object
plot.Lfd | Plot a Linear Differential Operator Object
plot.lmWinsor | lmWinsor plot
plot.pca.fd | Plot Functional Principal Components
plot.pda.fd | Plot Principle Differential Analysis Components
plotbeta | Plot a functional parameter object with confidence limits
plotfit.fd | Plot a Functional Data Object With Data
plotfit.fdSmooth | Plot a Functional Data Object With Data
plotreg.fd | Plot the results of the registration of a set of curves
plotscores | Plot Principal Component Scores
plus.fd | Arithmetic on functional data ('fd') objects
polyg | Polygonal Basis Function Values
polygpen | Polygonal Penalty Matrix
powerbasis | Power Basis Function Values
powerpen | Power Penalty Matrix
predict.basisfd | Values of Basis Functions or their Derivatives
predict.fd | Values of a Functional Data Object
predict.fdPar | Values of a Functional Data Object
predict.fdSmooth | Values of a Functional Data Object
predict.fRegress | Predict method for Functional Regression
predict.lmeWinsor | Predict method for Winsorized linear model fits with mixed effects
predict.lmWinsor | Predict method for Winsorized linear model fits
predict.monfd | Values of a Monotone Functional Data Object
predict.posfd | Evaluate a Positive Functional Data Object
project.basis | Approximate Functional Data Using a Basis

## -- Q --

quadset | Quadrature points and weights for Simpson's rule

## -- R --

readHMD | Downlaod data from the Human Mortality Database (HMD)
refinery | Reflux and tray level in a refinery
ReginaPrecip | Regina Daily Precipitation
register.fd | Register Functional Data Objects Using a Continuous Criterion
register.fd0 | Correct for initial position error between functional data objects.
register.newfd | Register Functional Data Objects with Pre-Computed Warping Functions
residuals.fdSmooth | Values of a Functional Data Object
residuals.fRegress | Residuals from a Functional Regression
residuals.monfd | Values of a Monotone Functional Data Object
residuals.posfd | Evaluate a Positive Functional Data Object

## -- S --

sampleData | Experiment data for landmark registration and alignment
sd.fd | Standard Deviation of Functional Data
seabird | Sea Bird Counts
smooth.basis | Construct a functional data object by smoothing data using a roughness penalty
smooth.basis1 | Construct a functional data object by smoothing data using a roughness penalty
smooth.basis2 | Construct a functional data object by smoothing data using a roughness penalty
smooth.basis3 | Construct a functional data object by smoothing data using a roughness penalty
smooth.basisPar | Smooth Data Using a Directly Specified Roughness Penalty
smooth.bibasis | Smooth a discrete surface over a rectangular lattice
smooth.fd | Smooth a Functional Data Object Using an Indirectly Specified Roughness Penalty
smooth.fdPar | Smooth a functional data object using a directly specified roughness penalty
smooth.monotone | Monotone Smoothing of Data
smooth.morph | Estimates a Smooth Warping Function
smooth.pos | Smooth Data with a Positive Function
StatSciChinese | Statistical Science in Chinese
std.fd | Standard Deviation of Functional Data
stddev.fd | Standard Deviation of Functional Data
stdev.fd | Standard Deviation of Functional Data
sum.fd | Sum of Functional Data
summary.basisfd | Summarize a Functional Data Object
summary.bifd | Summarize a Bivariate Functional Data Object
summary.fd | Summarize a Functional Data Object
summary.fdPar | Summarize a Functional Parameter Object
summary.Lfd | Summarize a Linear Differential Operator Object
svd2 | singular value decomposition with automatic error handling

## -- T --

TaylorSpline | Taylor representation of a B-Spline
TaylorSpline.dierckx | Taylor representation of a B-Spline
TaylorSpline.fd | Taylor representation of a B-Spline
TaylorSpline.fdPar | Taylor representation of a B-Spline
TaylorSpline.fdSmooth | Taylor representation of a B-Spline
times.fd | Arithmetic on functional data ('fd') objects
tperm.fd | Permutation t-test for two groups of functional data objects.

## -- V --

var.fd | Variance, Covariance, and Correlation Surfaces for Functional Data Object(s)
varmx | Rotate a Matrix of Component Loadings using the VARIMAX Criterion
varmx.cca.fd | Rotation of Functional Canonical Components with VARIMAX
varmx.pca.fd | Rotation of Functional Principal Components with VARIMAX Criterion
vec2Lfd | Make a Linear Differential Operator Object from a Vector

## -- W --

weeks | Numeric and character vectors to facilitate working with dates
wtcheck | Check a vector of weights

## -- Z --

zerofind | Does the range of the input contain 0?

## -- misc --

*.basisfd | Product of two basisfd objects
*.fd | Arithmetic on functional data ('fd') objects
+.fd | Arithmetic on functional data ('fd') objects
-.fd | Arithmetic on functional data ('fd') objects
==.basisfd | Arithmatic on functional basis objects
^.fd | Powers of a functional data ('fd') object