DMwR2: Functions and Data for the Second Edition of "Data Mining with R"
Version 0.0.2

Functions and data accompanying the second edition of the book "Data Mining with R, learning with case studies" by Luis Torgo, published by CRC Press.

Browse man pages Browse package API and functions Browse package files

AuthorLuis Torgo [aut, cre]
Date of publication2016-10-13 00:23:37
MaintainerLuis Torgo <ltorgo@dcc.fc.up.pt>
LicenseGPL (>= 2)
Version0.0.2
URL https://github.com/ltorgo/DMwR2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("DMwR2")

Man pages

algae: Training data for predicting algae blooms
algae.sols: The solutions for the test data set for predicting algae...
centralImputation: Fill in NA values with central statistics
centralValue: Obtain statistic of centrality
createEmbedDS: Creates an embeded data set from an univariate time series
dist.to.knn: An auxiliary function of 'lofactor()'
DMwR2-package: Functions and data for the second edition of the book "Data...
GSPC: A set of daily quotes for SP500
kNN: k-Nearest Neighbour Classification
knneigh.vect: An auxiliary function of 'lofactor()'
knnImputation: Fill in NA values with the values of the nearest neighbours
lofactor: An implementation of the LOF algorithm
manyNAs: Find rows with too many NA values
nrLinesFile: Counts the number of lines of a file
outliers.ranking: Obtain outlier rankings
reachability: An auxiliary function of 'lofactor()'
rpartXse: Obtain a tree-based model
rt.prune: Prune a tree-based model using the SE rule
sales: A data set with sale transaction reports
sampleCSV: Drawing a random sample of lines from a CSV file
sampleDBMS: Drawing a random sample of records of a table stored in a...
SelfTrain: Self train a model on semi-supervised data
sigs.PR: Precision and recall of a set of predicted trading signals
SoftMax: Normalize a set of continuous values using SoftMax
sp500: A set of daily quotes for SP500 in CSV Format
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

Functions

DMwR2 Man page
DMwR2-package Man page
Eq Source code
GSPC Man page
SelfTrain Man page Source code
SoftMax Man page Source code
St Source code
algae Man page
algae.sols Man page
centralImputation Man page Source code
centralValue Man page Source code
createEmbedDS Man page Source code
dist.to.knn Man page Source code
kNN Man page Source code
knnImputation Man page Source code
knneigh.vect Man page Source code
lofactor Man page Source code
manyNAs Man page Source code
nrLinesFile Man page Source code
outliers.ranking Man page Source code
plot,tradeRecord-method Man page
reachability Man page Source code
rpartXse Man page Source code
rt.prune Man page Source code
sales Man page
sampleCSV Man page Source code
sampleDBMS Man page Source code
show,tradeRecord-method Man page
sigs.PR Man page Source code
sp500 Man page
summary,tradeRecord-method Man page
test.algae Man page
tradeRecord Man page Source code
tradeRecord-class Man page
trading.signals Man page Source code
trading.simulator Man page Source code
tradingEvaluation Man page Source code

Files

inst
inst/CITATION
NAMESPACE
data
data/algae.RData
data/sales.RData
data/GSPC.RData
data/datalist
data/sp500.csv.xz
R
R/classes.R
R/utils.R
R/trading.R
R/OR.R
R/LOF.R
R/kNN.R
R/selfTraining.R
R/trees.R
MD5
DESCRIPTION
man
man/algae.sols.Rd
man/knnImputation.Rd
man/centralImputation.Rd
man/sales.Rd
man/SoftMax.Rd
man/trading.signals.Rd
man/reachability.Rd
man/kNN.Rd
man/centralValue.Rd
man/lofactor.Rd
man/sp500.Rd
man/rpartXse.Rd
man/SelfTrain.Rd
man/nrLinesFile.Rd
man/dist.to.knn.Rd
man/manyNAs.Rd
man/knneigh.vect.Rd
man/rt.prune.Rd
man/GSPC.Rd
man/tradingEvaluation.Rd
man/sigs.PR.Rd
man/algae.Rd
man/sampleCSV.Rd
man/sampleDBMS.Rd
man/test.algae.Rd
man/tradeRecord-class.Rd
man/trading.simulator.Rd
man/DMwR2-package.Rd
man/outliers.ranking.Rd
man/createEmbedDS.Rd
CHANGES
DMwR2 documentation built on May 20, 2017, 2:21 a.m.