Functional Data Analysis and Utilities for Statistical Computing

Documentation for package ‘fda.usc’ version 2.1.0

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

Functional Data Analysis and Utilities for Statistical Computing (fda.usc)

-- A --

accuracy	Performance measures for regression and classification models
Adot	PCvM statistic for the Functional Linear Model with scalar response
aemet	aemet data
AKer.cos	Asymmetric Smoothing Kernel
AKer.epa	Asymmetric Smoothing Kernel
AKer.norm	Asymmetric Smoothing Kernel
AKer.quar	Asymmetric Smoothing Kernel
AKer.tri	Asymmetric Smoothing Kernel
AKer.unif	Asymmetric Smoothing Kernel
anova.hetero	ANOVA for heteroscedastic data
anova.onefactor	One-way anova model for functional data
anova.RPm	Functional ANOVA with Random Project.
anyNA.fdata	fda.usc internal functions
argvals	fda.usc internal functions
argvals.equi	fda.usc internal functions

-- B --

bcdcor.dist

Distance Correlation Statistic and t-Test

-- C --

c.fdata	fda.usc internal functions
c.ldata	ldata class definition and utilities
c.mfdata	mfdata class definition and utilities
cat2meas	Performance measures for regression and classification models
classif.cv.glmnet	Functional classification using ML algotithms
classif.DD	DD-Classifier Based on DD-plot
classif.depth	Classifier from Functional Data
classif.gbm	Functional classification using ML algotithms
classif.gkam	Classification Fitting Functional Generalized Kernel Additive Models
classif.glm	Classification Fitting Functional Generalized Linear Models
classif.gsam	Classification Fitting Functional Generalized Additive Models
classif.gsam.vs	Variable Selection in Functional Data Classification
classif.kernel	Kernel Classifier from Functional Data
classif.kfold	Functional Classification usign k-fold CV
classif.knn	Kernel Classifier from Functional Data
classif.ksvm	Functional classification using ML algotithms
classif.lda	Functional classification using ML algotithms
classif.ML	Functional classification using ML algotithms
classif.multinom	Functional classification using ML algotithms
classif.naiveBayes	Functional classification using ML algotithms
classif.nnet	Functional classification using ML algotithms
classif.np	Kernel Classifier from Functional Data
classif.qda	Functional classification using ML algotithms
classif.randomForest	Functional classification using ML algotithms
classif.rpart	Functional classification using ML algotithms
classif.svm	Functional classification using ML algotithms
colnames.fdata	fda.usc internal functions
cond.F	Conditional Distribution Function
cond.mode	Conditional mode
cond.quantile	Conditional quantile
count.na.fdata	fda.usc internal functions
cov.test.fdata	Tests for checking the equality of means and/or covariance between two populations under gaussianity.
create.fdata.basis	Create Basis Set for Functional Data of fdata class
create.pc.basis	Create Basis Set for Functional Data of fdata class
create.pls.basis	Create Basis Set for Functional Data of fdata class
create.raw.fdata	Create Basis Set for Functional Data of fdata class
CV.S	The cross-validation (CV) score

-- D --

dcor.dist	Distance Correlation Statistic and t-Test
dcor.test	Distance Correlation Statistic and t-Test
dcor.xy	Distance Correlation Statistic and t-Test
Depth	Computation of depth measures for functional data
depth.fdata	Computation of depth measures for functional data
depth.FM	Computation of depth measures for functional data
depth.FMp	Provides the depth measure for a list of p-functional data objects
depth.FSD	Computation of depth measures for functional data
depth.KFSD	Computation of depth measures for functional data
depth.mdata	Provides the depth measure for multivariate data
depth.mfdata	Provides the depth measure for a list of p-functional data objects
depth.mode	Computation of depth measures for functional data
depth.modep	Provides the depth measure for a list of p-functional data objects
Depth.Multivariate	Provides the depth measure for multivariate data
depth.RP	Computation of depth measures for functional data
depth.RPD	Computation of depth measures for functional data
depth.RPp	Provides the depth measure for a list of p-functional data objects
depth.RT	Computation of depth measures for functional data
Descriptive	Descriptive measures for functional data.
dev.S	The deviance score
dfv.statistic	Delsol, Ferraty and Vieu test for no functional-scalar interaction
dfv.test	Delsol, Ferraty and Vieu test for no functional-scalar interaction
dim.fdata	fda.usc internal functions
dis.cos.cor	Proximities between functional data

-- F --

fanova.hetero	ANOVA for heteroscedastic data
fanova.onefactor	One-way anova model for functional data
fanova.RPm	Functional ANOVA with Random Project.
fda.usc	Functional Data Analysis and Utilities for Statistical Computing (fda.usc)
fda.usc.internal	fda.usc internal functions
fdata	Converts raw data or other functional data classes into fdata class.
fdata.bootstrap	Bootstrap samples of a functional statistic
fdata.bootstrap2	Bootstrap samples of a functional statistic
fdata.cen	Functional data centred (subtract the mean of each discretization point)
fdata.deriv	Computes the derivative of functional data object.
fdata.methods	fdata S3 Group Generic Functions
fdata.trace	fda.usc internal functions
fdata2basis	Compute fucntional coefficients from functional data represented in a base of functions
fdata2fd	Converts fdata class object into fd class object
fdata2pc	Principal components for functional data
fdata2pls	Partial least squares components for functional data.
FDR	False Discorvery Rate (FDR)
fEqDistrib.test	Tests for checking the equality of distributions between two functional populations.
fEqMoments.test	Tests for checking the equality of means and/or covariance between two populations under gaussianity.
flm.Ftest	F-test for the Functional Linear Model with scalar response
flm.test	Goodness-of-fit test for the Functional Linear Model with scalar response
fmean.test.fdata	Tests for checking the equality of means and/or covariance between two populations under gaussianity.
fregre.basis	Functional Regression with scalar response using basis representation.
fregre.basis.cv	Cross-validation Functional Regression with scalar response using basis representation.
fregre.basis.fr	Functional Regression with functional response using basis representation.
fregre.bootstrap	Bootstrap regression
fregre.bootstrap2	Bootstrap regression
fregre.gkam	Fitting Functional Generalized Kernel Additive Models.
fregre.glm	Fitting Functional Generalized Linear Models
fregre.glm.vs	Variable Selection using Functional Linear Models
fregre.gls	Fit Functional Linear Model Using Generalized Least Squares
fregre.gsam	Fitting Functional Generalized Spectral Additive Models
fregre.gsam.vs	Variable Selection using Functional Additive Models
fregre.igls	Fit of Functional Generalized Least Squares Model Iteratively
fregre.lm	Fitting Functional Linear Models
fregre.np	Functional regression with scalar response using non-parametric kernel estimation
fregre.np.cv	Cross-validation functional regression with scalar response using kernel estimation.
fregre.pc	Functional Regression with scalar response using Principal Components Analysis
fregre.pc.cv	Functional penalized PC regression with scalar response using selection of number of PC components
fregre.plm	Semi-functional partially linear model with scalar response.
fregre.pls	Functional Penalized PLS regression with scalar response
fregre.pls.cv	Functional penalized PLS regression with scalar response using selection of number of PLS components
Ftest.statistic	F-test for the Functional Linear Model with scalar response
func.mean	Descriptive measures for functional data.
func.mean.formula	Descriptive measures for functional data.
func.med.FM	Descriptive measures for functional data.
func.med.mode	Descriptive measures for functional data.
func.med.RP	Descriptive measures for functional data.
func.med.RPD	Descriptive measures for functional data.
func.med.RT	Descriptive measures for functional data.
func.trim.FM	Descriptive measures for functional data.
func.trim.mode	Descriptive measures for functional data.
func.trim.RP	Descriptive measures for functional data.
func.trim.RPD	Descriptive measures for functional data.
func.trim.RT	Descriptive measures for functional data.
func.trimvar.FM	Descriptive measures for functional data.
func.trimvar.mode	Descriptive measures for functional data.
func.trimvar.RP	Descriptive measures for functional data.
func.trimvar.RPD	Descriptive measures for functional data.
func.trimvar.RT	Descriptive measures for functional data.
func.var	Descriptive measures for functional data.

-- G --

GCCV.S	The generalized correlated cross-validation (GCCV) score.
GCV.S	The generalized correlated cross-validation (GCCV) score
gridfdata	Utils for generate functional data

-- H --

h.default

Calculation of the smoothing parameter (h) for a functional data

-- I --

IKer.cos	Integrate Smoothing Kernels.
IKer.epa	Integrate Smoothing Kernels.
IKer.norm	Integrate Smoothing Kernels.
IKer.quar	Integrate Smoothing Kernels.
IKer.tri	Integrate Smoothing Kernels.
IKer.unif	Integrate Smoothing Kernels.
influence.fregre.fd	Functional influence measures
influence_quan	Quantile for influence measures
inprod.fdata	Inner products of Functional Data Objects o class (fdata)
int.simpson	Simpson integration
int.simpson2	Simpson integration
is.fdata	fdata S3 Group Generic Functions
is.ldata	ldata class definition and utilities
is.mfdata	mfdata class definition and utilities
is.na.fdata	fda.usc internal functions

-- K --

Ker.cos	Symmetric Smoothing Kernels.
Ker.epa	Symmetric Smoothing Kernels.
Ker.norm	Symmetric Smoothing Kernels.
Ker.quar	Symmetric Smoothing Kernels.
Ker.tri	Symmetric Smoothing Kernels.
Ker.unif	Symmetric Smoothing Kernels.
Kernel	Symmetric Smoothing Kernels.
Kernel.asymmetric	Asymmetric Smoothing Kernel
Kernel.integrate	Integrate Smoothing Kernels.
kmeans.center.ini	K-Means Clustering for functional data
kmeans.fd	K-Means Clustering for functional data

-- L --

ldata	ldata class definition and utilities
ldata.cen	ldata class definition and utilities
length.fdata	fda.usc internal functions
lines.fdata	Plot functional data: fdata class object
LMDC.regre	Impact points selection of functional predictor and regression using local maxima distance correlation (LMDC)
LMDC.select	Impact points selection of functional predictor and regression using local maxima distance correlation (LMDC)

-- M --

Math.fdata	fdata S3 Group Generic Functions
Math.ldata	ldata class definition and utilities
Math.mfdata	mfdata class definition and utilities
MCO	Mithochondiral calcium overload (MCO) data set
mdepth.FM	Provides the depth measure for multivariate data
mdepth.FSD	Provides the depth measure for multivariate data
mdepth.HS	Provides the depth measure for multivariate data
mdepth.KFSD	Provides the depth measure for multivariate data
mdepth.LD	Provides the depth measure for multivariate data
mdepth.MhD	Provides the depth measure for multivariate data
mdepth.RP	Provides the depth measure for multivariate data
mdepth.SD	Provides the depth measure for multivariate data
mdepth.TD	Provides the depth measure for multivariate data
mean.fdata	ldata class definition and utilities
mean.ldata	ldata class definition and utilities
mean.mfdata	mfdata class definition and utilities
metric.dist	Distance Matrix Computation
metric.DTW	DTW: Dynamic time warping
metric.hausdorff	Compute the Hausdorff distances between two curves.
metric.kl	Kullback-Leibler distance
metric.ldata	Distance Matrix Computation for ldata and mfdata class object
metric.lp	Approximates Lp-metric distances for functional data.
metric.mfdata	Distance Matrix Computation for ldata and mfdata class object
metric.TWED	DTW: Dynamic time warping
metric.WDTW	DTW: Dynamic time warping
mfdata	mfdata class definition and utilities
mfdata.cen	mfdata class definition and utilities
min.basis	Select the number of basis using GCV method.
min.np	Smoothing of functional data using nonparametric kernel estimation
missing.fdata	fda.usc internal functions
MMD.test	Tests for checking the equality of distributions between two functional populations.
MMDA.test	Tests for checking the equality of distributions between two functional populations.

-- N --

na.fail.fdata	A wrapper for the na.omit and na.fail function for fdata object
na.omit.fdata	A wrapper for the na.omit and na.fail function for fdata object
names.ldata	ldata class definition and utilities
names.mfdata	mfdata class definition and utilities
NCOL.fdata	fda.usc internal functions
ncol.fdata	fda.usc internal functions
NCOL.ldata	ldata class definition and utilities
ncol.ldata	ldata class definition and utilities
NCOL.mfdata	mfdata class definition and utilities
ncol.mfdata	mfdata class definition and utilities
norm.fd	Approximates Lp-norm for functional data.
norm.fdata	Approximates Lp-norm for functional data.
NROW.fdata	fda.usc internal functions
nrow.fdata	fda.usc internal functions
NROW.ldata	ldata class definition and utilities
nrow.ldata	ldata class definition and utilities
NROW.mfdata	mfdata class definition and utilities
nrow.mfdata	mfdata class definition and utilities

-- O --

omit.fdata	fda.usc internal functions
omit2.fdata	fda.usc internal functions
ops.fda.usc	ops.fda.usc Options Settings
Ops.fdata	fdata S3 Group Generic Functions
Ops.ldata	ldata class definition and utilities
Ops.mfdata	mfdata class definition and utilities
optim.basis	Select the number of basis using GCV method.
optim.np	Smoothing of functional data using nonparametric kernel estimation
order.fdata	fdata S3 Group Generic Functions
outliers.depth.pond	outliers for functional dataset
outliers.depth.trim	outliers for functional dataset
Outliers.fdata	outliers for functional dataset
outliers.lrt	outliers for functional dataset
outliers.thres.lrt	outliers for functional dataset

-- P --

P.penalty	Penalty matrix for higher order differences
PCvM.statistic	PCvM statistic for the Functional Linear Model with scalar response
phoneme	phoneme data
plot.bifd	Plot functional data: fdata class object
plot.depth	Plot functional data: fdata class object
plot.fdata	Plot functional data: fdata class object
plot.ldata	ldata class definition and utilities
plot.mdepth	Plot functional data: fdata class object
plot.mfdata	mfdata class definition and utilities
plot.summary.lm	Summarizes information from fregre.fd objects.
poblenou	poblenou data
pred.MAE	Performance measures for regression and classification models
pred.MSE	Performance measures for regression and classification models
pred.RMSE	Performance measures for regression and classification models
pred2meas	Performance measures for regression and classification models
pred2meas.	Performance measures for regression and classification models
predict.classif	Predicts from a fitted classif object.
predict.classif.DD	Predicts from a fitted classif.DD object.
predict.fregre.fd	Predict method for functional linear model (fregre.fd class)
predict.fregre.fr	Predict method for functional response model
predict.fregre.gkam	Predict method for functional linear model
predict.fregre.glm	Predict method for functional linear model
predict.fregre.gls	Predictions from a functional gls object
predict.fregre.gsam	Predict method for functional linear model
predict.fregre.igls	Predictions from a functional gls object
predict.fregre.lm	Predict method for functional linear model
predict.fregre.plm	Predict method for functional linear model
print.classif	Summarizes information from kernel classification methods.
print.fregre.fd	Summarizes information from fregre.fd objects.
print.fregre.gkam	Summarizes information from fregre.gkam objects.
print.fregre.igls	Summarizes information from fregre.fd objects.
print.fregre.plm	Summarizes information from fregre.fd objects.
pvalue.FDR	False Discorvery Rate (FDR)

-- Q --

quantile.outliers.pond	outliers for functional dataset
quantile.outliers.trim	outliers for functional dataset

-- R --

r.ou	Ornstein-Uhlenbeck process
rangeval	fda.usc internal functions
rcombfdata	Utils for generate functional data
rdir.pc	Data-driven sampling of random directions guided by sample of functional data
rownames.fdata	fda.usc internal functions
rp.flm.statistic	Statistics for testing the functional linear model using random projections
rp.flm.test	Goodness-of fit test for the functional linear model using random projections
rproc2fdata	Simulate several random processes.
rwild	Wild bootstrap residuals

-- S --

S.basis	Smoothing matrix with roughness penalties by basis representation.
S.KNN	Smoothing matrix by nonparametric methods
S.LCR	Smoothing matrix by nonparametric methods
S.LLR	Smoothing matrix by nonparametric methods
S.LPR	Smoothing matrix by nonparametric methods
S.np	Smoothing matrix by nonparametric methods
S.NW	Smoothing matrix by nonparametric methods
semimetric.basis	Proximities between functional data
semimetric.deriv	Proximities between functional data (semi-metrics)
semimetric.fourier	Proximities between functional data (semi-metrics)
semimetric.hshift	Proximities between functional data (semi-metrics)
semimetric.mplsr	Proximities between functional data (semi-metrics)
semimetric.NPFDA	Proximities between functional data (semi-metrics)
semimetric.pca	Proximities between functional data (semi-metrics)
split.fdata	fdata S3 Group Generic Functions
subset.fdata	Subsetting
subset.ldata	ldata class definition and utilities
subset.mfdata	mfdata class definition and utilities
summary.basis.fdata	Compute fucntional coefficients from functional data represented in a base of functions
summary.classif	Summarizes information from kernel classification methods.
summary.fanova.RPm	Functional ANOVA with Random Project.
Summary.fdata	fdata S3 Group Generic Functions
summary.fdata.comp	Correlation for functional data by Principal Component Analysis
summary.fregre.fd	Summarizes information from fregre.fd objects.
summary.fregre.gkam	Summarizes information from fregre.gkam objects.
summary.fregre.igls	Summarizes information from fregre.fd objects.
summary.fregre.lm	Summarizes information from fregre.fd objects.
Summary.ldata	ldata class definition and utilities
Summary.mfdata	mfdata class definition and utilities

-- T --

tab2meas	Performance measures for regression and classification models
tecator	tecator data
title.fdata	Plot functional data: fdata class object
trace.matrix	fda.usc internal functions

-- U --

unlist_fdata

fda.usc internal functions

-- V --

Var.e	Sampling Variance estimates
Var.y	Sampling Variance estimates

-- W --

weights4class

Weighting tools

-- X --

XYRP.test

Tests for checking the equality of distributions between two functional populations.

-- misc --

!=.fdata	fda.usc internal functions
*.fdata	fda.usc internal functions
+.fdata	fda.usc internal functions
-.fdata	fda.usc internal functions
/.fdata	fda.usc internal functions
==.fdata	fda.usc internal functions
[.fdata	fda.usc internal functions
[.fdist	fda.usc internal functions
[.ldata	ldata class definition and utilities
[.mfdata	mfdata class definition and utilities
^.fdata	fda.usc internal functions