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 |
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 |
grcarttree | Plots the regression tree of CART in a display |
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 |