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

dayofmonth - denbwsel - denxci - diagrv - dispdot - doglm - draftman - dwt
dayofmonth returns the day of the month as string.
dayofweek returns the day of the week as string.
default When the program's counter comes inside a switch construct to the keyword default, the following commands are processed in any case. A default statement can be finished by the keyword break, but does not have to.

defaultdata creates a list containing default values for the parameters data.colname, data.colvar, data.colmissing, data.coltype data.rowmissing, data.rowcase and data.randcase
delete deletes the object at the given position from the list.
deletecase deletes selected cases from the data set
deletedata deletedata removes a dataset from already plotted ones.

deletevariable deletes selected variables from the data set
denala Supporting Quantlet for cartsplit
denbwcrit determines the optimal from a range of bandwidths by one of the following bandwidth selection criteria: Least Squares Cross Validation (lscv), Biased Cross Validation (bcv), Smoothed Cross Validation (scv), Jones, Marron and Park Cross Validation (jmp), Park and Marron Plug-in (pm), Sheather and Jones Plug-in (sj), and Silverman's rule of thumb.
denbwsel interactive tool for bandwidth selection in univariate kernel density estimation.
dencb computes uniform confidence bands with prespecified confidence level for univariate density estimation.
denci computes pointwise confidence intervals with prespecified confidence level for univariate density estimation. The computation uses WARPing.
denest estimates a univariate density by kernel density estimation. The computation uses WARPing.
denestp estimates a p-dimensional density by kernel density estimation. The computation uses WARPing.
denrot determines a rule-of-thumb bandwidth for univariate density estimation according to Silverman.
denrotp determines a rule-of-thumb bandwidth for multivariate density estimation according to Scott.
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.
denxcb computes uniform confidence bands with prespecified confidence level for univariate density estimation.
denxci computes pointwise confidence intervals with prespecified confidence level for univariate density estimation.
denxest estimates a univariate density by kernel density estimation.
denxestp estimates a p-dimensional density by kernel density estimation. The computation uses WARPing.
descriptive descriptive provides extensive descriptive statistics for the columns of a data matrix. An additional vector of name strings can be given to identify columns by names.
descriptivelinreg provides a short summary table of the X and Y variable after regression analysis
descriptivelong provides extensive descriptive statistics for selected variables of the data set
descriptiveshort Provides a short summary table for all variables of the data set.
det det computes the determinant of a matrix.
dgenci auxiliary quantlet for cointegration
diag diag creates a diagonal matrix from a vector.
diagrv replaces the diagonal of x by v
diff Computes first differences (along the rows) of an array.
dim dim gives the vector of the numbers of the elements in each dimension of an array.
discrete Reduces a matrix to its distinct rows and gives the number of replications of each row in the original dataset. An optional second matrix y can be given, the rows of y are summed up accordingly.
discrim computes the discrimination function for an obs x given samples x1 and x2
dispbar plots a barchart in specified window of a display
dispbox Generates a standard boxplot. An optional factor allows multiple boxplots by group.
dispcart2 produces the cut graphic for a CART tree in a user specified display.
dispcarttree Plots the regression tree of CART in a display
dispcarttree Plots the regression tree of CART in a display
dispdot Generates a dotplot with tonal highlighting. An optional factor allows multiple dotplots by group.
displaytype Returns the number of graphical objects in a display.

distance distance computes the distance between p-dimensional datapoints depending on a specified metric.
divisive performs an adaptive divisive K-means cluster analysis with appropriate (adaptive) multivariate graphic using principal components
dlcall dlcall calls a function defined in a dynamically linked library.
dlcallex dlcallex calls a function defined in a dynamically linked library. In contrast to dlcall it allows arbitrary number of parameters and various types.
dlclose dlclose closes a dynamically linked library loaded by dlopen.
dlopen dlopen loads a dynamically linked library.
dlquery dlquery returns the handles and names of the loaded dlls.
do do starts a loop until the first element of the argument of until is true. do has to be followed by an until.

doglm doglm provides an interactive menu for preparing data and fitting GLM in XploRe.
doista starts ISTA with input data x. If x is a list concerning data.colname, data.colvar, data.colmissing, data.coltype data.rowmissing, data.rowcase, data.randcase and data.x then theseparameters are used in ISTA otherwise a list is automatically created consisting default values.
domulti domulti is the starting quantlet for the library multi. The user can interactively transform the data, do preliminary analysis, select the model type, etc.
dot a dot gives an element of a list.
dotplot shows a dotplot for the selected variables. One or more group variables (disctrete type) can be selected.
dotplotrech computes the dotplot of selected variables
dpgp Drees-Pickands estimator for GP model.
dpgpdiag Vector of Drees-Pickands estimator for GP model
dpgpgamma Shape parameter of Drees-Pickands estimator.
dpls calculating latent variables, weights, loadings and path coefficients with dynamic partial least squares algorithm
draftman Generates a draftman plot of X.
durbinwatson performes the durbin watson test for autocorrelation of the X variables after regression analysis
dwade dwade estimation of the density weighted average derivatives
dwithr
dwt dwt computes the Discrete Wavelet Transformation of a vector.

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