Man pages for ltorgo/DMwR2
Functions and Data for the Second Edition of "Data Mining with R"

algaeTraining data for predicting algae blooms
algae.solsThe solutions for the test data set for predicting algae...
centralImputationFill in NA values with central statistics
centralValueObtain statistic of centrality
createEmbedDSCreates an embeded data set from an univariate time series
dist.to.knnAn auxiliary function of 'lofactor()'
DMwR2-packageFunctions and data for the second edition of the book "Data...
GSPCA set of daily quotes for SP500
kNNk-Nearest Neighbour Classification
knneigh.vectAn auxiliary function of 'lofactor()'
knnImputationFill in NA values with the values of the nearest neighbours
lofactorAn implementation of the LOF algorithm
manyNAsFind rows with too many NA values
nrLinesFileCounts the number of lines of a file
outliers.rankingObtain outlier rankings
reachabilityAn auxiliary function of 'lofactor()'
rpartXseObtain a tree-based model
rt.prunePrune a tree-based model using the SE rule
salesA data set with sale transaction reports
sampleCSVDrawing a random sample of lines from a CSV file
sampleDBMSDrawing a random sample of records of a table stored in a...
SelfTrainSelf train a model on semi-supervised data
sigs.PRPrecision and recall of a set of predicted trading signals
SoftMaxNormalize a set of continuous values using SoftMax
sp500A set of daily quotes for SP500 in CSV Format
test.algaeTesting data for predicting algae blooms
tradeRecord-classClass "tradeRecord"
tradingEvaluationObtain a set of evaluation metrics for a set of trading...
trading.signalsDiscretize a set of values into a set of trading signals
trading.simulatorSimulate daily trading using a set of trading signals
ltorgo/DMwR2 documentation built on May 21, 2017, 3:36 p.m.