DMwR: Functions and data for "Data Mining with R"

This package includes functions and data accompanying the book "Data Mining with R, learning with case studies" by Luis Torgo, CRC Press 2010.

AuthorLuis Torgo
Date of publication2013-08-08 19:46:37
MaintainerLuis Torgo <ltorgo@dcc.fc.up.pt>
LicenseGPL (>= 2)
Version0.4.1

View on CRAN

Man pages

algae: Training data for predicting algae blooms

algae.sols: The solutions for the test data set for predicting algae...

bestScores: Obtain the best scores from an experimental comparison

bootRun-class: Class "bootRun"

bootSettings-class: Class "bootSettings"

bootstrap: Runs a bootstrap experiment

centralImputation: Fill in NA values with central statistics

centralValue: Obtain statistic of centrality

class.eval: Calculate Some Standard Classification Evaluation Statistics

compAnalysis: Analyse and print the statistical significance of the...

compExp-class: Class "compExp"

CRchart: Plot a Cumulative Recall chart

crossValidation: Run a Cross Validation Experiment

cvRun-class: Class "cvRun"

cvSettings-class: Class "cvSettings"

dataset-class: Class "dataset"

dist.to.knn: An auxiliary function of 'lofactor()'

DMwR-defunct: Defunct Functions in Package 'DMwR'

DMwR-package: Functions and data for the book "Data Mining with R"

dsNames: Obtain the name of the data sets involved in an experimental...

experimentalComparison: Carry out Experimental Comparisons Among Learning Systems

expSettings-class: Class "expSettings"

getFoldsResults: Obtain the results on each iteration of a learner

getSummaryResults: Obtain a set of descriptive statistics of the results of a...

getVariant: Obtain the learner associated with an identifier within a...

growingWindowTest: Obtain the predictions of a model using a growing window...

GSPC: A set of daily quotes for SP500

hldRun-class: Class "hldRun"

hldSettings-class: Class "hldSettings"

holdOut: Runs a Hold Out experiment

join: Merging several 'compExp' class objects

kNN: k-Nearest Neighbour Classification

knneigh.vect: An auxiliary function of 'lofactor()'

knnImputation: Fill in NA values with the values of the nearest neighbours

learner-class: Class "learner"

learnerNames: Obtain the name of the learning systems involved in an...

LinearScaling: Normalize a set of continuous values using a linear scaling

lofactor: An implementation of the LOF algorithm

loocv: Run a Leave One Out Cross Validation Experiment

loocvRun-class: Class "loocvRun"

loocvSettings-class: Class "loocvSettings"

manyNAs: Find rows with too many NA values

mcRun-class: Class "mcRun"

mcSettings-class: Class "mcSettings"

monteCarlo: Run a Monte Carlo experiment

outliers.ranking: Obtain outlier rankings

PRcurve: Plot a Precision/Recall curve

prettyTree: Visual representation of a tree-based model

rankSystems: Provide a ranking of learners involved in an experimental...

reachability: An auxiliary function of 'lofactor()'

regr.eval: Calculate Some Standard Regression Evaluation Statistics

ReScaling: Re-scales a set of continuous values into a new range using a...

resp: Obtain the target variable values of a prediction problem

rpartXse: Obtain a tree-based model

rt.prune: Prune a tree-based model using the SE rule

runLearner: Run a Learning Algorithm

sales: A data set with sale transaction reports

SelfTrain: Self train a model on semi-supervised data

sigs.PR: Precision and recall of a set of predicted trading signals

slidingWindowTest: Obtain the predictions of a model using a sliding window...

SMOTE: SMOTE algorithm for unbalanced classification problems

SoftMax: Normalize a set of continuous values using SoftMax

statNames: Obtain the name of the statistics involved in an experimental...

statScores: Obtains a summary statistic of one of the evaluation metrics...

subset-methods: Methods for Function subset in Package 'DMwR'

task-class: Class "task"

test.algae: Testing data for predicting algae blooms

tradeRecord-class: Class "tradeRecord"

tradingEvaluation: Obtain a set of evaluation metrics for a set of trading...

trading.signals: Discretize a set of values into a set of trading signals

trading.simulator: Simulate daily trading using a set of trading signals

ts.eval: Calculate Some Standard Evaluation Statistics for Time Series...

unscale: Invert the effect of the scale function

variants: Generate variants of a learning system

Functions

algae Man page
algae.sols Man page
bestScores Man page
bootRun Man page
bootRun-class Man page
bootSettings Man page
bootSettings-class Man page
bootstrap Man page
centralImputation Man page
centralValue Man page
class.eval Man page
classWF Man page
compAnalysis Man page
compExp Man page
compExp-class Man page
CRchart Man page
crossValidation Man page
cvRun Man page
cvRun-class Man page
cvSettings Man page
cvSettings-class Man page
dataset Man page
dataset-class Man page
dist.to.knn Man page
DMwR Man page
DMwR-defunct Man page
DMwR-package Man page
dsNames Man page
experimentalComparison Man page
expSettings Man page
expSettings-class Man page
getFoldsResults Man page
getSummaryResults Man page
getVariant Man page
growClassWF Man page
growingWindowTest Man page
growRegrWF Man page
GSPC Man page
hldRun Man page
hldRun-class Man page
hldSettings Man page
hldSettings-class Man page
holdOut Man page
join Man page
kNN Man page
knneigh.vect Man page
knnImputation Man page
learner Man page
learner-class Man page
learnerNames Man page
LinearScaling Man page
lofactor Man page
loocv Man page
loocvRun Man page
loocvRun-class Man page
loocvSettings Man page
loocvSettings-class Man page
manyNAs Man page
mcRun Man page
mcRun-class Man page
mcSettings Man page
mcSettings-class Man page
monteCarlo Man page
outliers.ranking Man page
plot,compExp,missing-method Man page
plot,cvRun,missing-method Man page
plot,hldRun,missing-method Man page
plot,mcRun,missing-method Man page
plot,tradeRecord,ANY-method Man page
PRcurve Man page
prettyTree Man page
rankSystems Man page
reachability Man page
regr.eval Man page
regrWF Man page
ReScaling Man page
resp Man page
rpartXse Man page
rt.prune Man page
runLearner Man page
sales Man page
SelfTrain Man page
show,bootSettings-method Man page
show,compExp-method Man page
show,cvSettings-method Man page
show,dataset-method Man page
show,hldSettings-method Man page
show,learner-method Man page
show,loocvSettings-method Man page
show,mcSettings-method Man page
show,task-method Man page
show,tradeRecord-method Man page
sigs.PR Man page
slideClassWF Man page
slideRegrWF Man page
slidingWindowTest Man page
SMOTE Man page
SoftMax Man page
statNames Man page
statScores Man page
subset,ANY-method Man page
subset,compExp-method Man page
subset,compExp-method Man page
subset-methods Man page
summary,bootRun-method Man page
summary,compExp-method Man page
summary,cvRun-method Man page
summary,hldRun-method Man page
summary,loocvRun-method Man page
summary,mcRun-method Man page
summary,tradeRecord-method Man page
task Man page
task-class Man page
test.algae Man page
tradeRecord Man page
tradeRecord-class Man page
tradingEvaluation Man page
trading.signals Man page
trading.simulator Man page
tsClassWF Man page
ts.eval Man page
tsRegrWF Man page
unscale Man page
variants Man page

Files

DMwR
DMwR/inst
DMwR/inst/CITATION
DMwR/NAMESPACE
DMwR/data
DMwR/data/algae.RData
DMwR/data/sales.RData
DMwR/data/GSPC.RData
DMwR/data/testAlgae.RData
DMwR/data/datalist
DMwR/data/algaeSols.RData
DMwR/R
DMwR/R/classes.R DMwR/R/utils.R DMwR/R/trading.R DMwR/R/OR.R DMwR/R/DMwR-defunct.R DMwR/R/LOF.R DMwR/R/experiments.R DMwR/R/smote.R DMwR/R/kNN.R DMwR/R/selfTraining.R DMwR/R/trees.R
DMwR/MD5
DMwR/DESCRIPTION
DMwR/man
DMwR/man/algae.sols.Rd DMwR/man/statNames.Rd DMwR/man/experimentalComparison.Rd DMwR/man/knnImputation.Rd DMwR/man/mcRun-class.Rd DMwR/man/bootstrap.Rd DMwR/man/centralImputation.Rd DMwR/man/sales.Rd DMwR/man/loocvRun-class.Rd DMwR/man/SoftMax.Rd DMwR/man/getVariant.Rd DMwR/man/learner-class.Rd DMwR/man/SMOTE.Rd DMwR/man/trading.signals.Rd DMwR/man/slidingWindowTest.Rd DMwR/man/dsNames.Rd DMwR/man/cvRun-class.Rd DMwR/man/bootSettings-class.Rd DMwR/man/bootRun-class.Rd DMwR/man/PRcurve.Rd DMwR/man/reachability.Rd DMwR/man/hldRun-class.Rd DMwR/man/ReScaling.Rd DMwR/man/bestScores.Rd DMwR/man/loocvSettings-class.Rd DMwR/man/kNN.Rd DMwR/man/DMwR-defunct.Rd DMwR/man/centralValue.Rd DMwR/man/lofactor.Rd DMwR/man/cvSettings-class.Rd DMwR/man/regr.eval.Rd DMwR/man/subset-methods.Rd DMwR/man/LinearScaling.Rd DMwR/man/prettyTree.Rd DMwR/man/statScores.Rd DMwR/man/CRchart.Rd DMwR/man/unscale.Rd DMwR/man/hldSettings-class.Rd DMwR/man/rpartXse.Rd DMwR/man/crossValidation.Rd DMwR/man/SelfTrain.Rd DMwR/man/class.eval.Rd DMwR/man/dist.to.knn.Rd DMwR/man/manyNAs.Rd DMwR/man/knneigh.vect.Rd DMwR/man/variants.Rd DMwR/man/task-class.Rd DMwR/man/getFoldsResults.Rd DMwR/man/rt.prune.Rd DMwR/man/resp.Rd DMwR/man/expSettings-class.Rd DMwR/man/loocv.Rd DMwR/man/GSPC.Rd DMwR/man/join.Rd DMwR/man/tradingEvaluation.Rd DMwR/man/sigs.PR.Rd DMwR/man/mcSettings-class.Rd DMwR/man/algae.Rd DMwR/man/runLearner.Rd DMwR/man/test.algae.Rd DMwR/man/tradeRecord-class.Rd DMwR/man/compAnalysis.Rd DMwR/man/trading.simulator.Rd DMwR/man/dataset-class.Rd DMwR/man/ts.eval.Rd DMwR/man/monteCarlo.Rd DMwR/man/growingWindowTest.Rd DMwR/man/DMwR-package.Rd DMwR/man/outliers.ranking.Rd DMwR/man/learnerNames.Rd DMwR/man/getSummaryResults.Rd DMwR/man/rankSystems.Rd DMwR/man/compExp-class.Rd DMwR/man/holdOut.Rd
DMwR/CHANGES

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