Data Mining and R Programming for Beginners

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Documentation for package ‘fdm2id’ version 0.9.9

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

-- A --

accident2014 Sample of car accident location in the UK during year 2014.
ADABOOST Classification using AdaBoost
alcohol Alcohol dataset
APRIORI Classification using APRIORI
apriori-class APRIORI classification model
augmentation Duplicate and add noise to a dataset
autompg Auto MPG dataset

-- B --

BAGGING Classification using Bagging
beetles Flea beetles dataset
birth Birth dataset
boosting-class Boosting methods model
boxclus Clustering Box Plots
britpop Population and location of 18 major british cities.

-- C --

CA Correspondence Analysis (CA)
CART Classification using CART
cartdepth Depth
cartinfo CART information
cartleafs Number of Leafs
cartnodes Number of Nodes
cartplot CART Plot
CDA Classification using Canonical Discriminant Analysis
cda-class Canonical Disciminant Analysis model
closegraphics Close a graphics device
compare Comparison of two sets of clusters
compare.accuracy Comparison of two sets of clusters, using accuracy
compare.jaccard Comparison of two sets of clusters, using Jaccard index
compare.kappa Comparison of two sets of clusters, using kappa
confusion Confuion matrix
cookies Cookies dataset
cookies.desc.test Cookies dataset
cookies.desc.train Cookies dataset
cookies.y.test Cookies dataset
cookies.y.train Cookies dataset
cookplot Plot the Cook's distance of a linear regression model
correlated Correlated variables
cost.curves Plot Cost Curves
credit Credit dataset

-- D --

data.diag Square dataset
data.gauss Gaussian mixture dataset
data.parabol Parabol dataset
data.target1 Target1 dataset
data.target2 Target2 dataset
data.twomoons Two moons dataset
data.xor XOR dataset
data1 "data1" dataset
data2 "data2" dataset
data3 "data3" dataset
dataset-class Training set and test set
dbs-class DBSCAN model
DBSCAN DBSCAN clustering method
decathlon Decathlon dataset
distplot Plot a k-distance graphic

-- E --

EM Expectation-Maximization clustering method
em-class Expectation-Maximization model
eucalyptus Eucalyptus dataset
evaluation Evaluation of classification or regression predictions
evaluation.accuracy Accuracy of classification predictions
evaluation.adjr2 Adjusted R2 evaluation of regression predictions
evaluation.fmeasure F-measure
evaluation.fowlkesmallows Fowlkes–Mallows index
evaluation.goodness Goodness
evaluation.jaccard Jaccard index
evaluation.kappa Kappa evaluation of classification predictions
evaluation.msep MSEP evaluation of regression predictions
evaluation.precision Precision of classification predictions
evaluation.r2 R2 evaluation of regression predictions
evaluation.recall Recall of classification predictions
exportgraphics Open a graphics device
exportgraphics.off Toggle graphic exports
exportgraphics.on Toggle graphic exports

-- F --

factorial-class Factorial analysis results
FEATURESELECTION Classification with Feature selection
filter.rules Filtering a set of rules
frequentwords Frequent words

-- G --

general.rules Remove redundancy in a set of rules
getvocab Extract words and phrases from a corpus
GRADIENTBOOSTING Classification using Gradient Boosting

-- H --

HCA Hierarchical Cluster Analysis method

-- I --

intern Clustering evaluation through internal criteria
intern.dunn Clustering evaluation through Dunn's index
intern.interclass Clustering evaluation through interclass inertia
intern.intraclass Clustering evaluation through intraclass inertia
ionosphere Ionosphere dataset

-- K --

kaiser Kaiser rule
KERREG Kernel Regression
KMEANS K-means method
kmeans.getk Estimation of the number of clusters for _K_-means
KNN Classification using k-NN
knn-class K Nearest Neighbours model

-- L --

LDA Classification using Linear Discriminant Analysis
leverageplot Plot the leverage points of a linear regression model
LINREG Linear Regression
linsep Linsep dataset
loadtext load a text file
LR Classification using Logistic Regression

-- M --

MCA Multiple Correspondence Analysis (MCA)
MEANSHIFT MeanShift method
meanshift-class MeanShift model
MLP Classification using Multilayer Perceptron
MLPREG Multi-Layer Perceptron Regression
model-class Generic classification or regression model
movies Movies dataset

-- N --

NB Classification using Naive Bayes
NMF Non-negative Matrix Factorization

-- O --

ozone Ozone dataset

-- P --

params-class Learning Parameters
PCA Principal Component Analysis (PCA)
performance Performance estimation
plot.cda Plot function for cda-class
plot.factorial Plot function for factorial-class
plot.som Plot function for som-class
plotavsp Plot actual vs. predictions
plotcloud Plot word cloud
plotclus Generic Plot Method for Clustering
plotdata Advanced plot function
plotzipf Plot rank versus frequency
POLYREG Polynomial Regression
predict.apriori Model predictions
predict.boosting Model predictions
predict.cda Model predictions
predict.dbs Predict function for DBSCAN
predict.em Predict function for EM
predict.kmeans Predict function for K-means
predict.knn Model predictions
predict.meanshift Predict function for MeanShift
predict.model Model predictions
predict.selection Model predictions
predict.textmining Model predictions
print.apriori Print a classification model obtained by APRIORI
print.factorial Plot function for factorial-class
pseudoF Pseudo-F

-- Q --

QDA Classification using Quadratic Discriminant Analysis
query.docs Document query
query.words Word query

-- R --

RANDOMFOREST Classification using Random Forest
reg1 reg1 dataset
reg1.test reg1 dataset
reg1.train reg1 dataset
reg2 reg2 dataset
reg2.test reg2 dataset
reg2.train reg2 dataset
regplot Plot function for a regression model
resplot Plot the studentized residuals of a linear regression model
roc.curves Plot ROC Curves
rotation Rotation
runningtime Running time

-- S --

scatterplot Clustering Scatter Plots
selectfeatures Feature selection for classification
selection-class Feature selection
snore Snore dataset
SOM Self-Organizing Maps clustering method
som-class Self-Organizing Maps model
SPECTRAL Spectral clustering method
spectral-class Spectral clustering model
spine Spine dataset
spine.test Spine dataset
spine.train Spine dataset
splitdata Splits a dataset into training set and test set
stability Clustering evaluation through stability
STUMP Classification using one-level decision tree
summary.apriori Print summary of a classification model obtained by APRIORI
SVD Singular Value Decomposition
SVM Classification using Support Vector Machine
SVMl Classification using Support Vector Machine with a linear kernel
SVMr Classification using Support Vector Machine with a radial kernel
SVR Regression using Support Vector Machine
SVRl Regression using Support Vector Machine with a linear kernel
SVRr Regression using Support Vector Machine with a radial kernel

-- T --

temperature Temperature dataset
TEXTMINING Text mining
textmining-class Text mining object
titanic Titanic dataset
toggleexport Toggle graphic exports
toggleexport.off Toggle graphic exports
toggleexport.on Toggle graphic exports
treeplot Dendrogram Plots
TSNE t-distributed Stochastic Neighbor Embedding

-- U --

universite University dataset

-- V --

vectorize.docs Document vectorization
vectorize.words Word vectorization
vectorizer-class Document vectorization object
vowels Vowels dataset
vowels.test Vowels dataset
vowels.train Vowels dataset

-- W --

wheat Wheat dataset
wine Wine dataset

-- Z --

zoo Zoo dataset