Learn R Programming

DMwR2 (version 0.0.2)

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

Description

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.

Copy Link

Version

Install

install.packages('DMwR2')

Monthly Downloads

4,145

Version

0.0.2

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Luis Torgo

Last Published

October 13th, 2016

Functions in DMwR2 (0.0.2)

dist.to.knn

An auxiliary function of lofactor()
GSPC

A set of daily quotes for SP500
algae

Training data for predicting algae blooms
DMwR2-package

Functions and data for the second edition of the book "Data Mining with R"
centralValue

Obtain statistic of centrality
createEmbedDS

Creates an embeded data set from an univariate time series
centralImputation

Fill in NA values with central statistics
algae.sols

The solutions for the test data set for predicting algae blooms
kNN

k-Nearest Neighbour Classification
knneigh.vect

An auxiliary function of lofactor()
sales

A data set with sale transaction reports
sampleCSV

Drawing a random sample of lines from a CSV file
knnImputation

Fill in NA values with the values of the nearest neighbours
manyNAs

Find rows with too many NA values
lofactor

An implementation of the LOF algorithm
rpartXse

Obtain a tree-based model
nrLinesFile

Counts the number of lines of a file
rt.prune

Prune a tree-based model using the SE rule
outliers.ranking

Obtain outlier rankings
reachability

An auxiliary function of lofactor()
sigs.PR

Precision and recall of a set of predicted trading signals
sp500

A set of daily quotes for SP500 in CSV Format
test.algae

Testing data for predicting algae blooms
SoftMax

Normalize a set of continuous values using SoftMax
trading.signals

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

Simulate daily trading using a set of trading signals
SelfTrain

Self train a model on semi-supervised data
sampleDBMS

Drawing a random sample of records of a table stored in a DBMS
tradeRecord-class

Class "tradeRecord"
tradingEvaluation

Obtain a set of evaluation metrics for a set of trading actions