plot.ranktree {ConsRankClass} R Documentation

## Plot tree-based structure or pruning sequence of ranktree

### Description

Plot the tree coming from the ranktree or the pruning sequence of the ranktree

### Usage

## S3 method for class 'ranktree'
plot(
x,
plot.type = "tree",
dispclass = FALSE,
valtree = NULL,
taos = TRUE,
...
)


### Arguments

 x An object of the class "ranktree" plot.type One among "tree" or "pruningseq" dispclass Display the median ranking above terminal nodes. Default option: FALSE valtree If plot.type="pruningseq", it shows the Tau_x rank correlation coefficient or the error along the pruning sequence on the training set. If valtree is the output of the function validatetree, it shows either the Tau_x rank correlation coefficient or the error along the pruning sequence of also the decision tree (validated by wither test set or cross-validation) taos If plot.type="pruningseq", it plots the Tau_x rank correlation coefficient along the pruning sequence. If taos=FALSE, it plots the error. ... System reserved (No specific usage)

### Value

the plot of either the tree or the pruning sequence

### Author(s)

Antonio D'Ambrosio antdambr@unina.it

ranktree, validatetree

### Examples

data("Univranks")
tree <- ranktree(Univranks$rankings,Univranks$predictors,num=50)
plot(tree,dispclass=TRUE)

data(EVS)
EVS$rankings[is.na(EVS$rankings)] <- 3
set.seed(654)
training=sample(1911,1434)
tree <- ranktree(EVS$rankings[training,],EVS$predictors[training,],decrmin=0.001,num=50)
plot(tree,dispclass=TRUE)
#test set validation
vtreetest <- validatetree(tree,testX=EVS$predictors[-training,],EVS$rankings[-training,])
dtree <- getsubtree(tree,vtreetest\$best_tau)
plot(dtree,dispclass=TRUE)
#see the global weigthted tau_X rank correlation coefficients
plot(tree,plot.type="pruningseq",valtree=vtreetest)
#see the error rates
plot(tree,plot.type="pruningseq",valtree=vtreetest, taos=FALSE)



[Package ConsRankClass version 1.0.1 Index]