| dayofmonth |
returns the day of the month as string.
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| 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.
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| 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.
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| 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 |
| 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.
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| 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.
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| 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.
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| 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. |