computes a linkage table between the rows and columns of a contingency table by maximum value of correspondence. The number of correspondences is the minimum of number or dimensions of the contingency table.
transforms the values of the upper triangle of a correlation matrix into distances, and it stores these distances into a vector regarding the sequence described in agglom
transforms density data to regression data using variance stabilizing transform. Divides the sample space into bins, calculates the counts y_i of observations from every bin, and gives the values 2*sqrt(y_i+3/8) as a regression variable.
given a binary tree produced by cartsplit, normalizes the mean values of the leaves so that the function represented by the binary tree integrates to one.
performes a K-means cluster analysis of the rows of a contingency table including the multivariate graphic using the correspondence analysis; makes available the factorial coordinates (scores)
computes the so-called Lp-distances between the rows of a data matrix. In the case p=1 (absolute metric) or p=2 (Euclidean metric) one should favour the function DISTANCE.
auxiliary quantlet for grcarttree Generates vectors of characters to be displayed. For the non-terminal nodes prints the splitting variable and the splitting point. The information is printed in the following form: "X1<=5.2", that is, variables are denoted with X1,...,Xp. For the terminal nodes the
exchanges the category labels of a vector into other ones. Here the old category labels as well as the targed category labels have to be specified. Don't specify categories which should remain unchanged
allocates categories 1,2,...,L to intervals of categories. The upper bounds of the intervals have to be specified. It is an useful tool to join classes and hence to collaps contingency tables.
returns the vector of scores for the objects represented in AC. AT is a training set where the last column describes the class of an object (must be +1 or -1).
auxiliary quantlet for cartsplit, creates a vector of volumes: for each node of the tree "tr", calculates the volume of the rectangle corresponding to the node.
performes Ward's hierarchical cluster analysis of the data of the rows and the columns of a contingency table including the multivariate graphic using the correspondence analysis; makes the factorial coordinates of the points in a row and in a column available