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dprep (version 3.0.2)

Data Pre-Processing and Visualization Functions for Classification

Description

Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.

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Version

Install

install.packages('dprep')

Monthly Downloads

45

Version

3.0.2

License

GPL

Maintainer

Edgar Acuna

Last Published

November 24th, 2015

Functions in dprep (3.0.2)

The third moment of a multivariate distribution

The Shuttle dataset

The fourth moment of a multivariate distribution

Mean or median imputation

Discretization using the minimum entropy criterion

The hepatitis dataset

The Breast Wisconsin dataset

Auxiliary function for performing Holte's 1R discretization

Detection of multivariate outliers using the LOF algorithm

K-nn classification using Gower distance

Auxiliary function for Bay's Ouylier Detection Algorithm

Computing the inconsistency measure

range normalization

Auxiliary function for knn imputation

Visualization of Missing Data

FINCO Feature Selection Algorithm

Auxiliary function for the LOF algorithm.

Predicting a bank's decision to give a loan for buying a car.

Alon et al.'s colon dataset

Auxiliary function for performing discretization using equal frequency

The Auto MPG dataset

Auxiliary function for sequential feature selection

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

Finding rows in a matrix equal to a given vector

Cross validation estimation of the misclassification error

The Heart Cleveland dataset

Auxiliary function for sequential feature selection

Min-max normalization

Auxiliary function for the Chi-Merge discretization

Finding the unique observations in a dataset along with their fequencies

Calculating the Mode

Dataset's cleaning

Discretization using the Holte's 1R method

Auxiliary function for the reliefcat function

The Vehicle dataset

One-step sequential backward selection

Gower distance from a vector to a matrix

Decimal Scaling

The Bupa dataset

Performs Minimum Entropy discretization for a given attribute

Radial Coordinate Visualization

Vector-Vector Euclidiean Distance Function

Feature selection by the Relief Algorithm for datasets containing nominal features

Z-score normalization

Sigmoidal Normalization

Constructing distinct permutations

Auxiliary function for computing minimun entropy discretization

Outlier Detection with Robust Mahalonobis distance

Local Outlier Factor

Outlier detection using Bay and Schwabacher's algorithm.

Detecting outliers through boxplots of the features.

Crossvalidation estimation error for the naive Bayes classifier.

Sequential Forward Selection

RELIEF Feature Selection

Auxiliary function for computing the Van Valen's homocedasticity test

Sequential Floating Forward Method

Vector-Vector Manhattan Distance Function

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

Auxiliary function for sequential forward selection

Discretization using the method of equal frequencies

Auxiliary function for the reliefcont function

Imputation using k-nearest neighbors.

The Mardia's test of normality

One-step sequential forward selection

Softmax Normalization

The Pima Indian Diabetes dataset

Score function used in Bay's algorithm for outlier detection

Data Visuaization using star coordinates in three dimensions

Function for computing the reachability measure in the LOF algortihm

Basic example for discriminant analysis

The landsat Satellite dataset

Discretization using the equal width method

The Van Valen test for equal covariance matrices

The star coordinates plot

The Ionosphere dataset

The Sonar dataset

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

Predicting a bank's decision to give a loan for buying a car.

Auxiliary function for computing the LOF measure.

Multivariate outlier detection through the boxplot of the Mahalanobis distance

Data Preprocessing for supervised classification

Discretization using the Chi-Merge method

Khan et al.'s small round blood cells dataset

Imputation in supervised classification

Las Vegas Filter

Parallel Coordinate Plot