R: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien

# Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien

## Documentation for package ‘e1071’ version 1.7-16

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

allShortestPaths | Find Shortest Paths Between All Nodes in a Directed Graph
bclust | Bagged Clustering
best.gknn | Convenience Tuning Wrapper Functions
best.nnet | Convenience Tuning Wrapper Functions
best.randomForest | Convenience Tuning Wrapper Functions
best.rpart | Convenience Tuning Wrapper Functions
best.svm | Convenience Tuning Wrapper Functions
best.tune | Parameter Tuning of Functions Using Grid Search
bincombinations | Binary Combinations
bootstrap.lca | Bootstrap Samples of LCA Results
boxplot.bclust | Boxplot of Cluster Profiles
centers.bclust | Bagged Clustering
classAgreement | Coefficients Comparing Classification Agreement
clusters.bclust | Bagged Clustering
cmeans | Fuzzy C-Means Clustering
coef.svm | Support Vector Machines
compareMatchedClasses | Find Similar Classes in Two-way Contingency Tables
countpattern | Count Binary Patterns
cshell | Fuzzy C-Shell Clustering
d2sigmoid | The Logistic Function and Derivatives
ddiscrete | Discrete Distribution
dsigmoid | The Logistic Function and Derivatives
e1071-deprecated | Deprecated Functions in Package e1071
element | Extract Elements of an Array
extractPath | Find Shortest Paths Between All Nodes in a Directed Graph
fclustIndex | Fuzzy Cluster Indexes (Validity/Performance Measures)
gknn | Generalized k-Nearest Neighbors Classification or Regression
gknn.default | Generalized k-Nearest Neighbors Classification or Regression
gknn.formula | Generalized k-Nearest Neighbors Classification or Regression
hamming.distance | Hamming Distances of Vectors
hamming.window | Computes the Coefficients of a Hamming Window.
hanning.window | Computes the Coefficients of a Hanning Window.
hclust.bclust | Bagged Clustering
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)
lines.probplot | Probability Plot
matchClasses | Find Similar Classes in Two-way Contingency Tables
matchControls | Find Matched Control Group
moment | Statistical Moment
naiveBayes | Naive Bayes Classifier
naiveBayes.default | Naive Bayes Classifier
naiveBayes.formula | Naive Bayes Classifier
pdiscrete | Discrete Distribution
permutations | All Permutations of Integers 1:n
plot.bclust | Bagged Clustering
plot.ica | Independent Component Analysis
plot.stft | Plot Short Time Fourier Transforms
plot.svm | Plot SVM Objects
plot.tune | Plot Tuning Object
predict.gknn | Generalized k-Nearest Neighbors Classification or Regression
predict.lca | Latent Class Analysis (LCA)
predict.naiveBayes | Naive Bayes Classifier
predict.svm | Predict Method for Support Vector Machines
print.bootstrap.lca | Bootstrap Samples of LCA Results
print.fclust | Fuzzy C-Means Clustering
print.gknn | Generalized k-Nearest Neighbors Classification or Regression
print.ica | Independent Component Analysis
print.lca | Latent Class Analysis (LCA)
print.naiveBayes | Naive Bayes Classifier
print.summary.lca | Latent Class Analysis (LCA)
print.summary.svm | Support Vector Machines
print.summary.tune | Parameter Tuning of Functions Using Grid Search
print.svm | Support Vector Machines
print.tune | Parameter Tuning of Functions Using Grid Search
probplot | Probability Plot
qdiscrete | Discrete Distribution
rbridge | Simulation of Brownian Bridge
rdiscrete | Discrete Distribution
read.matrix.csr | Read/Write Sparse Data
rectangle.window | Computes the Coefficients of a Rectangle Window.
rwiener | Simulation of Wiener Process
scale_data_frame | Scaling and Centering of Data Frames
sigmoid | The Logistic Function and Derivatives
skewness | Skewness
stft | Computes the Short Time Fourier Transform of a Vector
summary.lca | Latent Class Analysis (LCA)
summary.svm | Support Vector Machines
summary.tune | Parameter Tuning of Functions Using Grid Search
svm | Support Vector Machines
svm.default | Support Vector Machines
svm.formula | Support Vector Machines
tune | Parameter Tuning of Functions Using Grid Search
tune.control | Control Parameters for the Tune Function
tune.gknn | Convenience Tuning Wrapper Functions
tune.knn | Convenience Tuning Wrapper Functions
tune.nnet | Convenience Tuning Wrapper Functions
tune.randomForest | Convenience Tuning Wrapper Functions
tune.rpart | Convenience Tuning Wrapper Functions
tune.svm | Convenience Tuning Wrapper Functions
tune.wrapper | Convenience Tuning Wrapper Functions
write.matrix.csr | Read/Write Sparse Data
write.svm | Write SVM Object to File