Man pages for grayskripko/rattle
Graphical User Interface for Data Mining in R

acquireAuditDataGenerate the audit dataset.
asRulesList the rules corresponding to the rpart decision tree
asRules.rpartList the rules corresponding to the rpart decision tree
auditSample dataset for illustration Rattle functionality.
binningPerform binning over numeric data
calcInitialDigitDistrGenerate a frequency count of the initial digits
calculateAUCDetermine area under a curve (e.g. a risk or recall curve) of...
centers.hclustList Cluster Centers for a Hierarchical Cluster
drawTreeNodesDraw nodes of a decision tree
drawTreesAdaDraw trees from an Ada model
evaluateRiskSummarise the performance of a data mining model
fancyRpartPlotA wrapper for plotting rpart trees using prp
genPlotTitleCmdGenerate a string to add a title to a plot
grouperTransform a numeric vector by grouping it according to the...
internalInteral Rattle user interface callbacks.
listAdaVarsUsedList the variables used by an adaboost model
listTreesAdaList trees from an Ada model
listVersionsVersions of Installed Packages
modalvalueCalculate the mode of a vector, array or list.
plotOptimalLinePlot three lines on a risk chart, one vertical and two...
plotRiskPlot a risk chart
printRandomForestsPrint a representation of the Random Forest models to the...
randomForest2RulesGenerate accessible data structure of a randomForest model
rattleDisplay the Rattle User Interface
rattleInfoExtract Rattle and related package information.
rattle.print.summary.multinomPrint information about a multinomial model
riskchartPlot a risk chart
savePlotToFileSave a plot in some way
setupDatasetGiven specific contents of env add other dataset related...
treeset.randomForestGenerate a representation of a tree in a Random Forest
weatherSample and full dataset for illustrating Rattle...
whichNumericsReturns a list of the names of the numeric variables in a...
wineThe wine dataset from the UCI Machine Learning Repository.
grayskripko/rattle documentation built on May 17, 2019, 8:34 a.m.