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dprep (version 2.1)

Data preprocessing and visualization functions for classification

Description

Functions for normalization, handling of missing values, discretization, outlier detection, feature selection, and visualization

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Version

Install

install.packages('dprep')

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Version

2.1

License

GPL

Maintainer

Edgar Acuna

Last Published

August 21st, 2009

Functions in dprep (2.1)

Outlier Detection with Robust Mahalonobis distance

ce.impute

Imputation in supervised classification

midpoints

Auxiliary function for computing minimun entropy discretization

cv10mlp

10-fold cross validation error estimation for the multilayer perceptron classifier

colon

Alon et al.'s colon dataset

near2

Auxiliary function for the reliefcat function

chiMerge

Discretization using the Chi-Merge method

breastw

The Breast Wisconsin dataset

ec.knnimp

KNN Imputation

eje1dis

Basic example for discriminant analysis

baysout

Outlier detection using Bay and Schwabacher's algorithm.

cv10lda2

Auxiliary function for sequential forward selection

assig

Auxiliary function for computing the minimun entropy discretization

ce.knn.imp

Function that calls ec.knnimp to perform knn imputation

parallelplot

Parallel Coordinate Plot

disc.ef

Discretization using the method of equal frequencies

my.iris

The Iris dataset

imagmiss

Visualization of Missing Data

cv10rpart2

Auxiliary function for sequential feature selection

The Pima Indian Diabetes dataset

crossval

Cross validation estimation of the misclassification error

closest

Auxiliary function used in the function baysout

knneigh.vect

Auxiliary function for computing the LOF measure.

heartc

The Heart Cleveland dataset

cv10knn2

Auxiliary function for sequential feature selection

cv10log

10-fold cross validation estimation error for the classifier based on logistic regression

relief

RELIEF Feature Selection

disc.1r

Discretization using the Holte's 1R method

maxdist

Auxiliary function used when executing the Bay's algorithm for outlier detection

decscale

Decimal Scaling

maxlof

Detection of multivariate outliers using the LOF algorithm

combinations

Constructing distinct permutations

clean

Dataset Cleaning

disc2

Auxiliary function for performing discretization using equal frequency

ce.mimp

Mean or median imputation

ionosphere

The Ionosphere dataset

outbox

Detecting outliers through boxplots of the features.

disc.ew

Discretization using the equal width method

circledraw

finco

FINCO Feature Selection Algorithm

mardia

The Mardia's test of normality

dist.to.knn

Auxiliary function for the LOF algorithm.

hawkins

The Hawkins-Bradu-Kass dataset

pp.golub

The preprocessed Golub's dataset

disc.mentr

Discretization using the minimum entropy criterion

distan2

Auxiliary function used by the RELIEF function in the dprep library.

reliefcont

Feature selection by the Relief Algorithm for datasets with only continuous features

srbct

Khan et al.'s small round blood cells dataset

inconsist

Computing the inconsistency measure

softmaxnorm

Softmax Normalization

hepatitis

The hepatitis dataset

dprep-package

Data Preprocessing for Supervised Classification

reachability

Function for computing the reachability measure in the LOF algortihm

vvalen

The Van Valen test for equal covariance matrices

discretevar

Performs Minimum Entropy discretization for a given attribute

vvalen1

Auxiliary function for computing the Van Valen's homocedasticity test

distancia

Vector-Vector Euclidiean Distance Function

mo4

The fourth moment of a multivariate distribution

sffs

Sequential Floating Forward Method

nnmiss

Auxiliary function for knn imputation

vehicle

The Vehicle dataset

score

Score function used in Bay's algorithm for outlier detection

moda

Calculating the Mode

near1

Auxiliary function for the reliefcont function

mo3

The third moment of a multivariate distribution

radviz2d

Radial Coordinate Visualization

mmnorm

Min-max normalization

reliefcat

Feature selection by the Relief Algorithm for datasets with only nominal features

znorm

Z-score normalization

top

Auxiliary function for Bay's Ouylier Detection Algorithm

sfs

Sequential Forward Selection

redundancy

Finding the unique observations in a dataset along with their fequencies

sbs1

One-step sequential backward selection

surveyplot

Surveyplot

mahaout

Multivariate outlier detection through the boxplot of the Mahalanobis distance

lvf

Las Vegas Filter

tchisq

Auxiliary function for the Chi-Merge discretization

sonar

The Sonar dataset

sfs1

One-step sequential forward selection

row.matches

Finding rows in a matrix equal to a given vector

signorm

Sigmoidal Normalization

starcoord

The star coordinates plot