Multivariate partitioning

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Documentation for package `mvpart' version 1.1-1

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