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#' Allocate sons in the CAT decision tree
#'
#' Fills the information of the sons of the previous level nodes
#'
#' @param nodes_prev list of node lists of the nodes from the previous level
#' @param nodes list of node lists of the nodes from the current level
#' @param level level of the CAT decision tree
#' @return A list of node lists updated with the information of the sons
#' @author Javier RodrÃguez-Cuadrado
#'
#' @export
allocate_sons = function(nodes_prev, nodes, level) {
for (i in 1:length(nodes)) { #For every son
for (j in 1:length(nodes[[i]][[10]])) { #For every father
indx = nodes[[i]][[10]][j]-(level-1)*10000 #Father index
nodes_prev[[indx]]$ID_sons[nrow(nodes_prev[[indx]]$ID_sons)+1, ] =
c(nodes[[i]]$ID, nodes[[i]][[11]][j],
nodes[[i]][[12]][j]) #Add the information of the son
nodes_prev[[indx]]$dens_vec = NULL #Eliminate non-necessary density
#information in the previous nodes
ord = order(nodes_prev[[indx]]$ID_sons[, 2]) #Get the order of responses
nodes_prev[[indx]]$ID_sons = nodes_prev[[indx]]$ID_sons[ord, ] #Order
}
}
return(nodes_prev) #Return the list of updated node lists
}
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