Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: xclust

adap performs an adaptive K-means cluster analysis
adaptive performs an adaptive K-means cluster analysis with appropriate (adaptive) multivariate graphic using the principal components
aerlb computes the Lachenbruch-Mickey unbiased estimate of the actual discrimination error rate
cartcv Performs cross validation for the CART: subtracts from the data in a given number of ways a test set, with the rest of the data a regression tree is formed and a sequence of subtrees is pruned from the initial tree. For each tree, the test set is used to calculate the prediction error.
cartregr applies the the tree to a user given data set.
cartsplitopt sets optional parameters for cartsplit (spliting of for classification and regression trees)
conting crosses two categorical variables (for instance partitions from cluster analysis) and builds up contingency table
contmax 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.
cor2dist 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
denala Supporting Quantlet for cartsplit
dentoreg Transforms density data to a 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.
denvalues Given a binary tree produced by cartsplit, normalises the mean values of the leaves so that the function represented by the binary tree integrates to one.
discrim computes the discrimination function for an obs x given samples x1 and x2
dispcarttree Plots the regression tree of CART in a display
dispcarttree Plots the regression tree of CART in a display
divisive performs an adaptive divisive K-means cluster analysis with appropriate (adaptive) multivariate graphic using principal components
endpoint Supporting Quantlet for cartsplit
final Supporting Quantlet for cartsplit
gform Supporting Quantlet for cartsplit
holmo Supporting Quantlet for cartsplit
init Supporting Quantlet for cartsplit
kanta Supporting Quantlet for cartsplit
kmcont 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)
kuva Makes a picture of a regression tree.
leafnum Gives the number of leaves (terminal nodes) in a regression tree.
lpdist 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.
maketr Returns a specified subtree of the given regression tree.
mat2vec stores the upper triangle of a symmetric matrix into a vector regarding the sequence described in agglom
measure computes coefficients of association between two two partitions which are crossed and build up a contingency table
muunna Supporting Quantlet for cartsplit
omaind Supporting Quantlet for cartsplit
osita Supporting Quantlet for cartsplit
ositalog Supporting Quantlet for cartsplit
pinala Supporting Quantlet for cartsplit
plotcarttree Plots the regression tree of CART.
pred Given a regression tree m (output of cartsplit) and a vector x, returns m(x), that is, the predicton of the tree on that point.
prederr Given a regression tree and observations gives the mean predicton error of the regression tree for that data.
prune Prunes a smaller regression tree from a tree which has been created by the cartsplit procedure. Uses error-complexity criterion.
prunecv Given a regression tree and observations, gives the mean predicton error of the regression trees for that data, for every tree in the sequence of subtrees, pruned from the original tree.
pruneseq Gives the numbers of leaves and the values of the complexity parameters in the sequence of subtrees, pruned from a tree which has been created by the cartsplit procedure. Prunes using error-complexity criterion.
prunetot Prunes a smaller regression tree from a tree which has been created by the cartsplit procedure.
pswap 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. You don't specify categories which should be unchanged
recode allocates categories 1,2,...,L to intervalls of categories. The upper bounds of the intervals have to be specified. It is an useful tool in order to join classes and hence to collaps contingency tabels.
ssr Returns the sum of squared residuals in a regression tree.
suitind Supporting Quantlet for cartsplit
unidis Supporting Quantlet for cartsplit
vec2mat stores the values of a vector into the upper triangle of a symmetric matrix regarding the sequence described in agglom
wardcont performes Ward's hierarchical cluster analysis of the rows as well as of the columns of a contingency table including the multivariate graphic using the correspondence analysis; makes available the factorial coordinates of the row points and column points (scores)
xcfcme Performs a fuzzy c-means cluster analysis
xchcme Performs a hard c-means cluster analysis
xclustmain loads the xplore library
xclusttest tests all macros of xclust

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

(C) MD*TECH Method and Data Technologies, 17.8.2000