e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Version 1.6-8

Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, ...

Browse man pages Browse package API and functions Browse package files

AuthorDavid Meyer [aut, cre], Evgenia Dimitriadou [aut, cph], Kurt Hornik [aut], Andreas Weingessel [aut], Friedrich Leisch [aut], Chih-Chung Chang [ctb, cph] (libsvm C++-code), Chih-Chen Lin [ctb, cph] (libsvm C++-code)
Date of publication2017-03-17 15:56:58
MaintainerDavid Meyer <David.Meyer@R-project.org>
LicenseGPL-2
Version1.6-8
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("e1071", repos="http://R-Forge.R-project.org")

Man pages

bclust: Bagged Clustering
bincombinations: Binary Combinations
bootstrap.lca: Bootstrap Samples of LCA Results
boxplot.bclust: Boxplot of Cluster Profiles
classAgreement: Coefficients Comparing Classification Agreement
cmeans: Fuzzy C-Means Clustering
countpattern: Count Binary Patterns
cshell: Fuzzy C-Shell Clustering
Discrete: Discrete Distribution
e1071-deprecated: Deprecated Functions in Package e1071
element: Extract Elements of an Array
fclustIndex: Fuzzy Cluster Indexes (Validity/Performance Measures)
hamming.distance: Hamming Distances of Vectors
hamming.window: Computes the Coefficients of a Hamming Window.
hanning.window: Computes the Coefficients of a Hanning Window.
hsv_palette: Sequential color palette based on HSV colors
ica: Independent Component Analysis
impute: Replace Missing Values
interpolate: Interpolate Values of Array
kurtosis: Kurtosis
lca: Latent Class Analysis (LCA)
matchClasses: Find Similar Classes in Two-way Contingency Tables
matchControls: Find Matched Control Group
moment: Statistical Moment
naiveBayes: Naive Bayes Classifier
permutations: All Permutations of Integers 1:n
plot.stft: Plot Short Time Fourier Transforms
plot.svm: Plot SVM Objects
plot.tune: Plot Tuning Object
predict.svm: Predict Method for Support Vector Machines
probplot: Probability Plot
rbridge: Simulation of Brownian Bridge
read.matrix.csr: Read/Write Sparse Data
rectangle.window: Computes the Coefficients of a Rectangle Window.
rwiener: Simulation of Wiener Process
shortestPaths: Find Shortest Paths Between All Nodes in a Directed Graph
sigmoid: The Logistic Function and Derivatives
skewness: Skewness
stft: Computes the Short Time Fourier Transform of a Vector
svm: Support Vector Machines
tune: Parameter Tuning of Functions Using Grid Search
tune.control: Control Parameters for the Tune Function
tune.wrapper: Convenience Tuning Wrapper Functions
write.svm: Write SVM Object to File

Functions

allShortestPaths Man page Source code
bclust Man page
best.nnet Man page Source code
best.randomForest Man page Source code
best.rpart Man page Source code
best.svm Man page Source code
best.tune Man page Source code
bincombinations Man page Source code
bootstrap.lca Man page Source code
boxplot.bclust Man page
centers.bclust Man page
classAgreement Man page Source code
clusters.bclust Man page
cmeans Man page Source code
compareMatchedClasses Man page Source code
countpattern Man page Source code
cshell Man page Source code
d2sigmoid Man page Source code
ddiscrete Man page Source code
dsigmoid Man page Source code
e1071-deprecated Man page
element Man page Source code
extractPath Man page Source code
fclustIndex Man page Source code
hamming.distance Man page Source code
hamming.window Man page Source code
hanning.window Man page Source code
hclust.bclust Man page
hsv_palette Man page Source code
ica Man page Source code
impute Man page Source code
interpolate Man page Source code
knn.wrapper Source code
kurtosis Man page Source code
lca Man page Source code
lines.probplot Man page Source code
matchClasses Man page Source code
matchControls Man page Source code
moment Man page Source code
na.fail.matrix.csr Source code
naiveBayes Man page Source code
naiveBayes.default Man page Source code
naiveBayes.formula Man page Source code
pdiscrete Man page Source code
permutations Man page Source code
plot.bclust Man page
plot.ica Man page Source code
plot.stft Man page Source code
plot.svm Man page Source code
plot.tune Man page Source code
predict.lca Man page Source code
predict.naiveBayes Man page Source code
predict.svm Man page Source code
print.bootstrap.lca Man page Source code
print.fclust Man page Source code
print.ica Man page Source code
print.lca Man page Source code
print.naiveBayes Man page Source code
print.summary.lca Man page Source code
print.summary.svm Man page Source code
print.summary.tune Man page Source code
print.svm Man page Source code
print.tune Man page Source code
probplot Man page Source code
prune.bclust Source code
qdiscrete Man page Source code
rbridge Man page Source code
rdiscrete Man page Source code
read.matrix.csr Man page Source code
rectangle.window Man page Source code
rpart.wrapper Source code
rwiener Man page Source code
scale.data.frame Source code
sigmoid Man page Source code
skewness Man page Source code
stft Man page Source code
summary.lca Man page Source code
summary.svm Man page Source code
summary.tune Man page Source code
svm Man page Source code
svm.default Man page Source code
svm.formula Man page Source code
tune Man page Source code
tune.control Man page Source code
tune.knn Man page Source code
tune.nnet Man page Source code
tune.randomForest Man page Source code
tune.rpart Man page Source code
tune.svm Man page Source code
tune.wrapper Man page
write.matrix.csr Man page Source code
write.svm Man page Source code

Files

DESCRIPTION
NAMESPACE
R
R/bclust.R
R/bincombinations.R
R/cmeans.R
R/countpattern.R
R/cshell.R
R/discrete.R
R/e1071-deprecated.R
R/element.R
R/fclustIndex.R
R/hamming.distance.R
R/hamming.window.R
R/hanning.window.R
R/ica.R
R/impute.R
R/interpolate.R
R/kurtosis.R
R/lca.R
R/matchClasses.R
R/matchControls.R
R/moment.R
R/naiveBayes.R
R/plot.stft.R
R/probplot.R
R/rbridge.R
R/rectangle.window.R
R/rwiener.R
R/shortestPaths.R
R/sigmoid.R
R/skewness.R
R/sparse.R
R/stft.R
R/svm.R
R/tune.R
build
build/vignette.rds
cleanup
configure
configure.ac
inst
inst/NEWS.Rd
inst/doc
inst/doc/svmdoc.R
inst/doc/svmdoc.Rnw
inst/doc/svmdoc.pdf
inst/doc/svminternals.Rnw
inst/doc/svminternals.pdf
man
man/Discrete.Rd
man/bclust.Rd
man/bincombinations.Rd
man/bootstrap.lca.Rd
man/boxplot.bclust.Rd
man/classAgreement.Rd
man/cmeans.Rd
man/countpattern.Rd
man/cshell.Rd
man/e1071-deprecated.Rd
man/element.Rd
man/fclustIndex.Rd
man/hamming.distance.Rd
man/hamming.window.Rd
man/hanning.window.Rd
man/hsv_palette.Rd
man/ica.Rd
man/impute.Rd
man/interpolate.Rd
man/kurtosis.Rd
man/lca.Rd
man/matchClasses.Rd
man/matchControls.Rd
man/moment.Rd
man/naiveBayes.Rd
man/permutations.Rd
man/plot.stft.Rd
man/plot.svm.Rd
man/plot.tune.Rd
man/predict.svm.Rd
man/probplot.Rd
man/rbridge.Rd
man/read.matrix.csr.Rd
man/rectangle.window.Rd
man/rwiener.Rd
man/shortestPaths.Rd
man/sigmoid.Rd
man/skewness.Rd
man/stft.Rd
man/svm.Rd
man/tune.Rd
man/tune.control.Rd
man/tune.wrapper.Rd
man/write.svm.Rd
src
src/Rsvm.c
src/cmeans.c
src/cshell.c
src/floyd.c
src/init.c
src/svm.cpp
src/svm.h
tests
tests/clustering.R
vignettes
vignettes/svm.pdf
vignettes/svmdoc.Rnw
vignettes/svminternals.Rnw
e1071 documentation built on May 21, 2017, 3:27 a.m.