Functions and Data for the Second Edition of "Data Mining with R"

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Documentation for package ‘DMwR2’ version 0.0.2

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DMwR2-package Functions and data for the second edition of the book "Data Mining with R"
algae Training data for predicting algae blooms
algae.sols The solutions for the test data set for predicting algae blooms
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 Functions and data for the second edition of the book "Data Mining with R"
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
plot-method Class "tradeRecord"
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 DBMS
SelfTrain Self train a model on semi-supervised data
show-method Class "tradeRecord"
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
summary-method Class "tradeRecord"
test.algae Testing data for predicting algae blooms
tradeRecord Class "tradeRecord"
tradeRecord-class Class "tradeRecord"
trading.signals Discretize a set of values into a set of trading signals
trading.simulator Simulate daily trading using a set of trading signals
tradingEvaluation Obtain a set of evaluation metrics for a set of trading actions