Package index
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car.test.frame - Automobile Data from `Consumer Reports' 1990
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cmds.diss() - Classical Scaling of Dissimilarity Measures
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gdist() - Dissimilarity Measures
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kyphosis - Data on Children who have had Corrective Spinal Surgery
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labels(<rpart>) - Create Split Labels For an Rpart Object
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makeform() - Formula Constructor
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meanvar(<rpart>) - Mean-Variance Plot for an Rpart Object
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mvpart() - Recursive Partitioning and Regression Trees
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na.rpart() - Handles Missing Values in an Rpart Object
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path.rpart() - Follow Paths to Selected Nodes of an Rpart Object
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plot(<rpart>) - Plot an Rpart Object
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plotcp() - Plot a Complexity Parameter Table for an Rpart Fit
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post(<rpart>) - PostScript Presentation Plot of an Rpart Object
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predict(<rpart>) - Predictions from a Fitted Rpart Object
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print(<rpart>) - Print an Rpart Object
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printcp() - Displays CP table for Fitted Rpart Object
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prune(<rpart>) - Cost-complexity Pruning of an Rpart Object
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residuals(<rpart>) - Residuals From a Fitted Rpart Object
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rpart() - Recursive Partitioning and Regression Trees
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rpart.control() - Control for Rpart Models
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rpart.matrix() - Creates a Model Matrix from a Call to Rpart
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rpart.object - Recursive Partitioning and Regression Trees Object
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rpart(<pca>) - Principle Components Plot of a Multivariate Rpart Object
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rpconvert() - Update an rpart object
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rsq.rpart() - Plots the Approximate R-Square for the Different Splits
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scaler() - Row and Column Scaling of a Data Matrix
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snip.rpart() - Snip Subtrees of an Rpart Object
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solder - Soldering of Components on Printed-Circuit Boards
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spider - Spider Data
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summary(<rpart>) - Summarize a Fitted Rpart Object
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text(<rpart>) - Place Text on a Dendrogram
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trclcomp() - Tree-Clustering Comparison
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xdiss() - Extendend Dissimilarity Measures
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xpred.rpart() - Return Cross-Validated Predictions