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.

Author | Luis Torgo [aut, cre] |

Date of publication | 2016-10-13 00:23:37 |

Maintainer | Luis Torgo <ltorgo@dcc.fc.up.pt> |

License | GPL (>= 2) |

Version | 0.0.2 |

https://github.com/ltorgo/DMwR2 |

**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

DMwR2

DMwR2/inst

DMwR2/inst/CITATION

DMwR2/NAMESPACE

DMwR2/data

DMwR2/data/algae.RData

DMwR2/data/sales.RData

DMwR2/data/GSPC.RData

DMwR2/data/datalist

DMwR2/data/sp500.csv.xz

DMwR2/R

DMwR2/R/classes.R
DMwR2/R/utils.R
DMwR2/R/trading.R
DMwR2/R/OR.R
DMwR2/R/LOF.R
DMwR2/R/kNN.R
DMwR2/R/selfTraining.R
DMwR2/R/trees.R
DMwR2/MD5

DMwR2/DESCRIPTION

DMwR2/man

DMwR2/man/algae.sols.Rd
DMwR2/man/knnImputation.Rd
DMwR2/man/centralImputation.Rd
DMwR2/man/sales.Rd
DMwR2/man/SoftMax.Rd
DMwR2/man/trading.signals.Rd
DMwR2/man/reachability.Rd
DMwR2/man/kNN.Rd
DMwR2/man/centralValue.Rd
DMwR2/man/lofactor.Rd
DMwR2/man/sp500.Rd
DMwR2/man/rpartXse.Rd
DMwR2/man/SelfTrain.Rd
DMwR2/man/nrLinesFile.Rd
DMwR2/man/dist.to.knn.Rd
DMwR2/man/manyNAs.Rd
DMwR2/man/knneigh.vect.Rd
DMwR2/man/rt.prune.Rd
DMwR2/man/GSPC.Rd
DMwR2/man/tradingEvaluation.Rd
DMwR2/man/sigs.PR.Rd
DMwR2/man/algae.Rd
DMwR2/man/sampleCSV.Rd
DMwR2/man/sampleDBMS.Rd
DMwR2/man/test.algae.Rd
DMwR2/man/tradeRecord-class.Rd
DMwR2/man/trading.simulator.Rd
DMwR2/man/DMwR2-package.Rd
DMwR2/man/outliers.ranking.Rd
DMwR2/man/createEmbedDS.Rd
DMwR2/CHANGES

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.