recursive_tree {CorReg} | R Documentation |
decision tree in a recursive way
recursive_tree(data = data, Y = "Y", modele = NULL, kill = NULL, index = NULL, verbose = TRUE, plot = TRUE, main = NULL, sub = NULL, lang = c("en", "fr"), all = FALSE, digits = getOption("digits") - 3)
data |
the dataset including the response |
Y |
the name of the response |
modele |
(optional) vector of names of covariates allowed in the tree |
kill |
vector of the names to kill (variables won't be used in the tree) |
index |
to give a number to the plot |
verbose |
boolean to print the tree parameters |
plot |
boolean to plot the tree |
main |
the main title if plot=TRUE |
sub |
the subtitle (if NULL it is automatically added) |
lang |
the language for the automatic subtitle in the plot |
all |
Logical. If TRUE, all nodes are labeled, otherwise just terminal nodes. |
digits |
number of digits for legend of the leaves |
returns the tree as an "rpart" object and the modele as a vector of the names of the covariates the tree could have used (to give as an input of the function).
modele |
vector of the names of the covariates the tree could have used |
tree |
the regression tree as an "rpart" object |
data<-mtcars require(CorReg) main="Regression tree of cars consumption (in mpg)" mytree=recursive_tree(data = data,Y ="mpg" ,main=main,verbose=FALSE) #want to try without cylinder and disp mytree2=recursive_tree(data = data,Y ="mpg" ,kill=c("cyl","disp"), modele=mytree$modele,main=main,verbose=FALSE)