fda.usc: Functional Data Analysis and Utilities for Statistical Computing
Version 1.3.0

Routines for exploratory and descriptive analysis of functional data such as depth measurements, atypical curves detection, regression models, supervised classification, unsupervised classification and functional analysis of variance.

AuthorManuel Febrero Bande [aut], Manuel Oviedo de la Fuente [aut, cre], Pedro Galeano [ctb], Alicia Nieto [ctb], Eduardo Garcia-Portugues [ctb]
Date of publication2016-11-14 12:33:41
MaintainerManuel Oviedo de la Fuente <manuel.oviedo@usc.es>
LicenseGPL-2
Version1.3.0
URL http://www.jstatsoft.org/v51/i04/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("fda.usc")

Getting started

Package overview

Popular man pages

aemet: aemet data
anova.onefactor: One-way anova model for functional data
classif.DD: DD-Classifier Based on DD-plot
dev.S: The deviance score .
fregre.basis.fr: Functional Regression with functional response using basis...
kmeans.fd: K-Means Clustering for functional data
predict.fregre.scalar: Predict method for functional regression model
See all...

All man pages Function index File listing

Man pages

aemet: aemet data
anova.hetero: ANOVA for heteroscedastic data
anova.onefactor: One-way anova model for functional data
anova.RPm: Functional ANOVA with Random Project.
classif.DD: DD-Classifier Based on DD-plot
classif.depth: Classifier from Functional Data
classif.gkam: Classification Fitting Functional Generalized Kernel Additive...
classif.glm: Classification Fitting Functional Generalized Linear Models
classif.gsam: Classification Fitting Functional Generalized Additive Models
classif.np: Kernel Classifier from Functional Data
classif.tree: Classification Fitting Functional Recursive Partitioning and...
cond.F: Conditional Distribution Function
cond.mode: Conditional mode
cond.quantile: Conditional quantile
create.fdata.basis: Create Basis Set for Functional Data of fdata class
CV.S: The cross-validation (CV) score
dcor.test: Distance Correlation Statistic and t-Test
DepthFunctional: Provides the depth measure for functional data
DepthFunctionalIntegrate: Provides the depth measure for a list of p-functional data...
DepthMultivariate: Provides the depth measure for multivariate data
Descriptive: Descriptive measures for functional data.
dev.S: The deviance score .
dfv.test: Delsol, Ferraty and Vieu test for no functional-scalar...
dis.cos.cor: Proximities between functional data
fdata: Converts raw data or other functional data classes into fdata...
fdata2fd: Converts fdata class object into fd class object
fdata2pc: Principal components for functional data
fdata2pls: Partial least squares components for functional data.
fdata.bootstrap: Bootstrap samples of a functional statistic
fdata.cen: Functional data centred (subtract the mean of each...
fdata.deriv: Computes the derivative of functional data object.
fdata.methods: fdata S3 Group Generic Functions
fda.usc.internal: fda.usc internal functions
fda.usc-package: Functional Data Analysis and Utilities for Statistical...
FDR: False Discorvery Rate (FDR)
flm.Ftest: F-test for the Functional Linear Model with scalar response
flm.test: Goodness-of-fit test for the Functional Linear Model with...
fregre.basis: Functional Regression with scalar response using basis...
fregre.basis.cv: Cross-validation Functional Regression with scalar response...
fregre.basis.fr: Functional Regression with functional response using basis...
fregre.bootstrap: Bootstrap regression
fregre.gkam: Fitting Functional Generalized Kernel Additive Models.
fregre.glm: Fitting Functional Generalized Linear Models
fregre.gls: Fit Functional Linear Model Using Generalized Least Squares
fregre.gsam: Fitting Functional Generalized Spectral 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...
fregre.np.cv: Cross-validation functional regression with scalar response...
fregre.pc: Functional Regression with scalar response using Principal...
fregre.pc.cv: Functional penalized PC regression with scalar response using...
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...
fregre.ppls: Functional Penalized PC (or PLS) regression with scalar...
fregre.ppls.cv: Functional penalized PC (or PLS) regression with scalar...
GCCV.S: The generalized correlated cross-validation (GCCV) score.
GCV.S: The generalized cross-validation (GCV) score.
gridfdata: Utils for generate functional data
h.default: Calculation of the smoothing parameter (h) for a functional...
influence.fdata: Functional influence measures
influence.quan: Quantile for influence measures
inprod.fdata: Inner products of Functional Data Objects o class (fdata)
int.simpson: Simpson integration
Kernel: Symmetric Smoothing Kernels.
Kernel.asymmetric: Asymmetric Smoothing Kernel
Kernel.integrate: Integrate Smoothing Kernels.
kmeans.fd: K-Means Clustering for functional data
MCO: Mithochondiral calcium overload (MCO) data set
metric.dist: Distance Matrix Computation
metric.hausdorff: Compute the Hausdorff distances between two curves.
metric.kl: Kullback-Leibler distance
metric.lp: Aproximates Lp-metric distances for functional data.
min.basis: Select the number of basis using GCV method.
min.np: Smoothing of functional data using nonparametric kernel...
na.omit: A wrapper for the na.omit and na.fail function for fdata...
norm.fdata: Aproximates Lp-norm for functional data.
order.fdata: A wrapper for the 'order' function
Outliers.fdata: Detecting outliers for functional dataset
PCvM.statistic: PCvM statistic for the Functional Linear Model with scalar...
phoneme: phoneme data
plot.fdata: Plot functional data: fdata.
poblenou: poblenou data
P.penalty: Penalty matrix for higher order differences
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.functional: Predict method for functional response model
predict.fregre.gls: Predictions from a functional gls object
predict.fregre.scalar: Predict method for functional regression model
rp.flm.statistic: Statistic for testing the FLM using random projections
rp.flm.test: Goodness-of-fit test for the Functional Linear Model with...
rproc2fdata: Simulate several random processes.
rwild: Wild bootstrap residuals
S.basis: Smoothing matrix with roughness penalties by basis...
semimetric.basis: Proximities between functional data
semimetric.NPFDA: Proximities between functional data (semi-metrics)
S.np: Smoothing matrix by nonparametric methods.
split_omit.fdata: A wrapper for the split and unlist function for fdata object
subset.fdata: Subsetting
summary.classif: Summarizes information from kernel classification methods.
summary.fdata.comp: Correlation for functional data by Principal Component...
summary.fregre.fd: Summarizes information from fregre.fd objects.
summary.fregre.gkam: Summarizes information from fregre.gkam objects.
tecator: tecator data
Var.y: Sampling Variance estimates

Functions

!=.fdata Man page
*.fdata Man page Man page
+.fdata Man page
-.fdata Man page
/.fdata Man page
==.fdata Man page
AKer.cos Man page Source code
AKer.epa Man page Source code
AKer.norm Man page Source code
AKer.quar Man page Source code
AKer.tri Man page Man page Source code
AKer.unif Man page Source code
AMCR Source code
AMCR0 Source code
Adot Man page Man page Source code
Astar2 Source code
CV.S Man page Source code
D.penalty Source code Source code
DD.cv.depth Source code
Depth Man page
Depth.Multivariate Man page
Depth.pfdata Man page
Descriptive Man page
FDR Man page Source code
FM1 Source code
Ftest.statistic Man page Source code
GCCV.S Man page Source code
GCCV.S.version.simple Source code
GCV.S Man page Source code
IKer.cos Man page Source code
IKer.epa Man page Source code
IKer.norm Man page Source code
IKer.quar Man page Source code
IKer.tri Man page Man page Source code
IKer.unif Man page Source code
Ker.cos Man page Source code
Ker.epa Man page Source code
Ker.norm Man page Source code
Ker.quar Man page Source code
Ker.tri Man page Man page Source code
Ker.unif Man page Source code
Kernel Man page Source code
Kernel.asymmetric Man page Source code
Kernel.integrate Man page Source code
LD1 Source code
Liu1 Source code
MCO Man page
MCR.mof Source code
MCR0 Source code
MCR0.p Source code
MCR1.p Source code
Math.fdata Man page Source code
MhD1 Source code
Minverse Source code
NCOL.fdata Man page Source code
NROW.fdata Man page Source code
Ops.fdata Man page Source code
Outliers.fdata Man page
P.penalty Man page Source code Source code
PCvM.statistic Man page Source code
RR Source code
S.KNN Man page Source code
S.LLR Man page Source code
S.NW Man page Source code
S.basis Man page Source code
S.np Man page
Summary.fdata Man page Source code
TD1 Source code
Var.e Man page Source code
Var.y Man page Source code
[.fdata Man page
[.fdist Man page
^.fdata Man page
aemet Man page
anova.RPm Man page Source code
anova.RPm.boot Man page Source code
anova.hetero Man page Source code
anova.onefactor Man page Source code
anyNA.fdata Man page Source code
argvals Man page Man page Source code
bcdcor.dist Man page Source code
bootanovafunc Source code
c.fdata Man page Source code
c.ldata Source code
classif.DD Man page Source code
classif.depth Man page Source code
classif.gkam Man page Source code
classif.gkam2boost Source code
classif.glm Man page Source code
classif.glm.cv Source code
classif.glm2boost Source code
classif.gsam Man page Source code
classif.gsam2boost Source code
classif.kernel Man page Source code
classif.knn Man page Source code
classif.np Man page Source code
classif.npp Source code
classif.tree Man page Source code
classif.tree2boost Source code
cond.F Man page Source code
cond.mode Man page Source code
cond.quantile Man page Source code
cor.AR Source code
cor.ARMA Source code
cor.fdist Source code
corExpo Source code
corSigma Source code
corUnstruc Source code
count.na.fdata Man page Source code
create.fdata.basis Man page Source code
create.pc.basis Man page Source code
create.pls.basis Man page Source code
create.raw.fdata Man page Source code
cubic.fit.opt Source code
cubic.fit0 Source code
dA Source code Source code
dcor.dist Man page Source code
dcor.test Man page Source code
dcor.xy Man page Source code
depth.FM Man page Source code
depth.FMp Man page Source code
depth.FSD Man page Source code
depth.KFSD Man page Source code
depth.MB Source code
depth.RP Man page Source code
depth.RPD Man page Source code
depth.RPp Man page Source code
depth.RT Man page Source code
depth.mode Man page Source code
depth.modep Man page Source code
dev.S Man page Source code
dfv.statistic Man page Source code
dfv.test Man page Source code
dim.fdata Man page Source code
dis.cos.cor Man page Source code
dvvtz Source code Source code
euclidean Source code
fda.usc Man page
fda.usc-package Man page
fdata Man page Source code
fdata.bootstrap Man page Source code
fdata.cen Man page Source code
fdata.deriv Man page Source code
fdata.trace Source code
fdata2fd Man page Source code
fdata2pc Man page Source code
fdata2pls Man page Source code
fdata2ppc Man page Source code Source code
fdata2ppls Man page Source code Source code
filter.arima Source code
flm.Ftest Man page Source code
flm.test Man page Source code
fregre.basis Man page Source code
fregre.basis.cv Man page Source code
fregre.basis.fr Man page Source code
fregre.bootstrap Man page Source code
fregre.gkam Man page Source code
fregre.glm Man page Source code
fregre.gls Man page Source code
fregre.gsam Man page Source code
fregre.igls Man page Source code
fregre.lm Man page Source code Source code Source code
fregre.np Man page Source code
fregre.np.cv Man page Source code
fregre.pc Man page Source code
fregre.pc.cv Man page Source code
fregre.plm Man page Source code
fregre.pls Man page Source code
fregre.pls.cv Man page Source code
fregre.ppc Man page Source code Source code
fregre.ppc.cv Man page Source code Source code
fregre.ppls Man page Source code Source code
fregre.ppls.cv Man page Source code Source code
func.mean Man page Source code
func.mean.formula Man page Source code
func.med.FM Man page Source code
func.med.RP Man page Source code
func.med.RPD Man page Source code
func.med.RT Man page Source code Source code
func.med.mode Man page Source code
func.trim.FM Man page Source code
func.trim.RP Man page Source code
func.trim.RPD Man page Source code
func.trim.RT Man page Source code Source code
func.trim.mode Man page Source code
func.trimvar.FM Man page Source code
func.trimvar.RP Man page Source code
func.trimvar.RPD Man page Source code
func.trimvar.RT Man page Source code
func.trimvar.mode Man page Source code
func.var Man page Source code
gridfdata Man page Source code
h.default Man page Source code
hshift Man page Source code
ind.list Source code
influence.fdata Man page Source code
influence.quan Man page Source code
inprod.fdata Man page Source code
int.simpson Man page Source code
int.simpson2 Man page Source code
intercambio Man page Source code
intercambio.l Man page Source code
is.fdata Man page Source code
is.na.fdata Man page Source code
isiindata Source code
kgam.H Man page Source code
kmeans.assig.groups Man page Source code
kmeans.center.ini Man page Source code
kmeans.centers.update Man page Source code
kmeans.fd Man page Source code
length.fdata Man page Source code
lines.fdata Man page Source code
manhattan Source code
maximum Source code
mdepth.FM Source code
mdepth.FM1 Source code
mdepth.HS Man page Source code
mdepth.LD Man page Source code
mdepth.Liu Source code
mdepth.Liu1 Source code
mdepth.MB Man page Source code
mdepth.MhD Man page Source code
mdepth.RP Man page Source code
mdepth.SD Man page Source code
mdepth.TD Man page Source code
mdepth.TD1 Source code
metric.dist Man page Source code
metric.hausdorff Man page Source code
metric.kl Man page Source code
metric.ldata Source code
metric.lp Man page Source code
min.basis Man page Source code
min.np Man page Source code
minkowski Source code
missing.fdata Man page Source code
mplsr Man page Source code
na.fail.fdata Man page Source code
na.omit.fdata Man page Source code
ncol.fdata Man page Source code
norm.fd Man page
norm.fdata Man page
nrow.fdata Man page Source code
ntriang Source code
omit.fdata Man page Source code
omit2.fdata Man page Source code
order.fdata Man page Source code
outliers.depth.pond Man page Source code
outliers.depth.trim Man page Source code
outliers.lrt Man page Source code
outliers.thres.lrt Man page Source code
phoneme Man page
plot.bifd Man page Source code
plot.fdata Man page Source code
plot.lfdata Source code Source code
plot.mdepth Source code
poblenou Man page
predict.classif Man page Source code
predict.classif.DD Man page Source code
predict.classif.npp Source code
predict.fregre.fd Man page Source code
predict.fregre.fr Man page Source code
predict.fregre.gkam Man page Source code
predict.fregre.gkam.func Man page
predict.fregre.glm Man page Source code
predict.fregre.glm.func Man page
predict.fregre.gls Man page Source code
predict.fregre.gsam Man page Source code
predict.fregre.gsam.func Man page
predict.fregre.igls Man page Source code
predict.fregre.lm Man page Source code
predict.fregre.lm.func Man page
predict.fregre.plm Man page Source code
predict.gls Source code
print.classif Man page Source code
print.fregre.fd Man page Source code
print.fregre.gkam Man page Source code
pvalue.FDR Man page Source code
quad.fit.opt Source code
quad.fit0 Source code
quantile.outliers.pond Man page Source code
quantile.outliers.trim Man page Source code
rangeval Man page Man page Source code
rcombfdata Man page Source code
rkernel Man page Source code
rp.flm.statistic Man page Source code
rp.flm.test Man page Source code
rproc2fdata Man page Source code
rwild Man page Source code
semimetric.NPFDA Man page
semimetric.basis Man page Source code
semimetric.deriv Man page Source code
semimetric.fourier Man page Source code
semimetric.hshift Man page Source code
semimetric.mplsr Man page Source code
semimetric.pca Man page Source code
simul.arma Source code
solve.ab Source code
split.fdata Man page Man page Source code
subset.fdata Man page Source code
subset.lfdata Source code
summary.anova Man page Source code
summary.classif Man page Source code
summary.fdata.comp Man page Source code
summary.fregre.fd Man page Source code
summary.fregre.gkam Man page Source code
tecator Man page
title.fdata Man page Source code
traza Source code
triang Source code
unlist.fdata Man page Source code
vvtz Source code Source code
wmestadis Source code

Files

inst
inst/CITATION
inst/script
inst/script/jss757.R
inst/script/flm_beta_estimation_brownian_data.R
inst/script/Outliers_fdata.R
src
src/rp_stat.f90
src/Adot.f90
src/PCvM_statistic.f90
NAMESPACE
NEWS
data
data/tecator.rda
data/poblenou.rda
data/aemet.rda
data/MCO.rda
data/phoneme.rda
data/datalist
R
R/predict.fregre.gkam.R
R/rp.flm.test2.R
R/cond.quantile.R
R/func.mean.formula.r
R/influence.fdata.R
R/fregre.plm.R
R/fregre.igls.r
R/is.fdata.R
R/print.fregre.fd.r
R/fregre.gls.r
R/fregre.basis.cv.R
R/anova.hetero.R
R/metric.kl.r
R/fdata.deriv.R
R/depth.RPD.r
R/depth.FM.r
R/predict.fregre.glm.R
R/fdata.bootstrap.r
R/Descriptive.R
R/corStruct.R
R/fregre.lm.r
R/split.fdata.r
R/predict.fregre.igls.r
R/CV.S.R
R/min.basis.R
R/fregre.gsam.R
R/S.basis.R
R/semimetric.basis.R
R/S.KNN.R
R/metric.hausdorff.R
R/par.fda.usc.r
R/semimetric.NPFDA.r
R/dev.S.R
R/print.classif.r
R/kmeans.fd.R
R/depth.RPp.r
R/fregre.basis.fr.r
R/omit.fdata.R
R/plot.fdata.R
R/anova.onefactor.R
R/rproc2fdata.R
R/fregre.np.r
R/predict.gls.nlme.r
R/flm.test.R
R/kmeans.center.ini.R
R/depth.RP.r
R/metric.dist.R
R/depth.mode.r
R/dis.cos.cor.R
R/depth.SD.R
R/anova.RPm.boot.R
R/fdata.R
R/GCV.S.R
R/dcor.fdist.r
R/outliers.depth.trim.r
R/fdata.methods.R
R/norm.fdata.r
R/plot.lfdata.R
R/summary.classif.R
R/classif.gkam.R
R/FDR.R
R/depth.RT.r
R/create.fdata.basis.R
R/predict.fregre.fd.r
R/classif.glm.R
R/S.LLR.R
R/Var.y.R
R/metric.lp.R
R/predict.fregre.gsam.R
R/inprod.fdata.R
R/fregre.gkam.r
R/outliers.depth.pond.r
R/Kernel.asymmetric.R
R/classif.DD.r
R/predict.fregre.fr.r
R/depth.multivariate.R
R/fdata2fd.R
R/kernels.R
R/traza.R
R/fregre.bootstrap.r
R/classif.depth.R
R/kmeans.assig.groups.R
R/corSigma.R
R/predict.classif.npp.R
R/predict.fregre.gls.r
R/predict.classif.R
R/classif.np.r
R/h.default.R
R/fregre.PPC.PPLSdeprecated.R
R/classif.univariate.R
R/influence.quan.R
R/quantile.outliers.trim.r
R/depth.band.r
R/fdata.cen.R
R/cond.mode.R
R/depth.KFSD.R
R/anova.RPm.R
R/outliers.lrt.r
R/outliers.thres.lrt.r
R/summary.anova.R
R/subset.lfdata.R
R/auxiliar.R
R/classif.tree.R
R/Kernel.R
R/flm.Ftest.R
R/kmeans.centers.update.R
R/fregre.np.cv.r
R/cond.F.R
R/dcor.fdist2.r
R/fregre.glm.R
R/predict.classif.DD.R
R/GCCV.S.R
R/predict.fregre.plm.R
R/min.np.r
R/summary.fregre.fd.r
R/summary.fdata.comp.r
R/PPC.PPLS.R
R/classif.DD.aux.r
R/order.fdata.r
R/plot.bifd.R
R/classif.np.ldata.R
R/predict.fregre.lm.R
R/classif.gsam.R
R/int.simpson.R
R/fda.usc.internal.R
R/na.omit.fdata.R
R/S.NW.R
R/fregre.PPC.PPLS.R
R/quantile.outliers.pond.r
R/Ginv.R
R/Var.e.r
R/fregre.basis.R
R/dfv.test.R
MD5
DESCRIPTION
man
man/anova.RPm.Rd
man/fregre.pls.Rd
man/metric.dist.Rd
man/dis.cos.cor.Rd
man/metric.hausdorff.Rd
man/Kernel.asymmetric.Rd
man/summary.fdata.comp.Rd
man/fda.usc.internal.Rd
man/fregre.gls.Rd
man/fregre.gsam.Rd
man/dfv.test.Rd
man/predict.fregre.functional.Rd
man/S.np.Rd
man/fregre.igls.Rd
man/summary.fregre.fd.Rd
man/predict.fregre.scalar.Rd
man/na.omit.rd
man/cond.quantile.Rd
man/FDR.Rd
man/fdata2pc.Rd
man/Var.y.Rd
man/fregre.ppls.Rd
man/predict.classif.Rd
man/tecator.Rd
man/fregre.pc.Rd
man/min.np.Rd
man/classif.tree.Rd
man/fregre.gkam.Rd
man/fdata.cen.Rd
man/Kernel.integrate.Rd
man/rp.flm.test.Rd
man/Descriptive.Rd
man/CV.S.Rd
man/DepthMultivariate.Rd
man/semimetric.NPFDA.Rd
man/anova.hetero.Rd
man/DepthFunctional.Rd
man/dev.S.Rd
man/influence.quan.Rd
man/dcor.test.rd
man/classif.glm.Rd
man/cond.mode.Rd
man/fdata2fd.Rd
man/metric.lp.Rd
man/classif.np.Rd
man/split_omit.fdata.Rd
man/int.simpson.Rd
man/flm.test.Rd
man/influence.fdata.Rd
man/cond.F.Rd
man/h.default.Rd
man/fdata.methods.Rd
man/order.fdata.Rd
man/fdata2pls.Rd
man/fregre.bootstrap.Rd
man/create.fdata.basis.Rd
man/fregre.np.Rd
man/fregre.basis.Rd
man/classif.DD.Rd
man/PCvM.statistic.Rd
man/predict.classif.DD.Rd
man/kmeans.fd.Rd
man/summary.fregre.gkam.Rd
man/fregre.pc.cv.Rd
man/Outliers.fdata.Rd
man/flm.Ftest.Rd
man/fdata.bootstrap.Rd
man/aemet.Rd
man/min.basis.Rd
man/fdata.deriv.Rd
man/predict.fregre.gls.Rd
man/fregre.basis.fr.Rd
man/fregre.basis.cv.Rd
man/gridfdata.Rd
man/MCO.Rd
man/classif.gkam.Rd
man/fregre.plm.Rd
man/GCCV.S.Rd
man/subset.fdata.Rd
man/rwild.Rd
man/Kernel.Rd
man/S.basis.Rd
man/anova.onefactor.Rd
man/plot.fdata.Rd
man/P.penalty.Rd
man/fda.usc-package.Rd
man/poblenou.Rd
man/norm.fdata.Rd
man/summary.classif.Rd
man/fdata.Rd
man/rproc2fdata.Rd
man/GCV.S.Rd
man/metric.kl.Rd
man/classif.depth.Rd
man/rp.flm.statistic.Rd
man/semimetric.basis.Rd
man/phoneme.Rd
man/fregre.glm.Rd
man/fregre.lm.Rd
man/predict.fregre.fd.Rd
man/fregre.np.cv.Rd
man/classif.gsam.Rd
man/fregre.ppls.cv.Rd
man/fregre.pls.cv.Rd
man/DepthFunctionalIntegrate.Rd
man/inprod.fdata.Rd
fda.usc documentation built on May 19, 2017, 9:58 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.