Last data update: 2014.03.03

DMwR

Package: DMwR
Type: Package
Title: Functions and data for "Data Mining with R"
Version: 0.4.1
Depends: R (>= 2.10), methods, graphics, lattice (>= 0.18-3), grid (>=
2.10.1)
Imports: xts (>= 0.6-7), quantmod (>= 0.3-8), zoo (>= 1.6-4), abind (>=
1.1-0), rpart (>= 3.1-46), class (>= 7.3-1), ROCR (>= 1.0)
Date: 2013-08-08
Author: Luis Torgo
Maintainer: Luis Torgo <ltorgo@dcc.fc.up.pt>
Description: This package includes functions and data accompanying the book
"Data Mining with R, learning with case studies" by Luis Torgo, CRC Press 2010.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2013-08-08 15:59:14 UTC; ltorgo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-08-08 19:46:37

● 0 images, 74 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'DMwR' ...
** package 'DMwR' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
Creating a generic function for 'subset' from package 'base' in package 'DMwR'
** help
*** installing help indices
  converting help for package 'DMwR'
    finding HTML links ... done
    CRchart                                 html  
    finding level-2 HTML links ... done

    DMwR-defunct                            html  
    DMwR-package                            html  
    GSPC                                    html  
    LinearScaling                           html  
    PRcurve                                 html  
    ReScaling                               html  
    SMOTE                                   html  
    SelfTrain                               html  
    SoftMax                                 html  
    algae                                   html  
    algae.sols                              html  
    bestScores                              html  
    bootRun-class                           html  
    bootSettings-class                      html  
    bootstrap                               html  
    centralImputation                       html  
    centralValue                            html  
    class.eval                              html  
    compAnalysis                            html  
    compExp-class                           html  
    crossValidation                         html  
    cvRun-class                             html  
    cvSettings-class                        html  
    dataset-class                           html  
    dist.to.knn                             html  
    dsNames                                 html  
    expSettings-class                       html  
    experimentalComparison                  html  
    getFoldsResults                         html  
    getSummaryResults                       html  
    getVariant                              html  
    growingWindowTest                       html  
    hldRun-class                            html  
    hldSettings-class                       html  
    holdOut                                 html  
    join                                    html  
    kNN                                     html  
    knnImputation                           html  
    knneigh.vect                            html  
    learner-class                           html  
    learnerNames                            html  
    lofactor                                html  
    loocv                                   html  
    loocvRun-class                          html  
    loocvSettings-class                     html  
    manyNAs                                 html  
    mcRun-class                             html  
    mcSettings-class                        html  
    monteCarlo                              html  
    outliers.ranking                        html  
    prettyTree                              html  
    rankSystems                             html  
    reachability                            html  
    regr.eval                               html  
    resp                                    html  
    rpartXse                                html  
    rt.prune                                html  
    runLearner                              html  
    sales                                   html  
    sigs.PR                                 html  
    slidingWindowTest                       html  
    statNames                               html  
    statScores                              html  
    subset-methods                          html  
    task-class                              html  
    test.algae                              html  
    tradeRecord-class                       html  
    trading.signals                         html  
    trading.simulator                       html  
    tradingEvaluation                       html  
    ts.eval                                 html  
    unscale                                 html  
    variants                                html  
** building package indices
** testing if installed package can be loaded
* DONE (DMwR)
Making 'packages.html' ... done