DA DB DC DD DE DF DG DH DI DJ DK DL DM DN DO DP DQ DR DS DT DU DV DW DX DY DZ

- data2fd
- converts an array of function values and a matrix of argument values into an fd object.
- dayofmonth
- returns the day of the month as string.
- dayofweek
- returns the day of the week as string.
- dcat
- computes the conditional dependence parameter from a given copula with maximal likelihood method.
- dcdenest
- estimates a univariate density of a random variable that is convoluted with a Gaussian random variable. The estimation is based on deconvolution by inverting the characteristic function.
- deahull
- returns the DEA (Data Envelopment Analysis) input efficiency score and efficient level of inputs for each DMU (Decision making unit)
- 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.
- delete
- deletes the object at the given position from the list.
- deletedata
- Removes a dataset from a display
- denbbwcrit
- This is a variant of denxbwcrit and denbwcrit using linear binning for fast computation. All kernel estimates of the integrated squared densities or density derivatives are computed approximately by Rdenbest which uses linear binning.
- denbwcrit
- determines from a range of bandwidths the optimal one using 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
- 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.
- denreg
- Probability density estimation for the noise in a nonparametric regression model using the taut string method.
- 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 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, normalizes the mean values of the leaves so that the function represented by the binary tree integrates to one.
- denxbwcrit
- an exact variant of denbwcrit. All kernel estimates of the integrated squared densities or density derivatives are computed exactly using Rdenxest.
- 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
- 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.
- det
- det computes the determinant of a matrix.
- DGdecompS
- computes the square root of a positive semi-definite matrix, using an eigen value decomposition
- 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 observation x given the 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.
- dispboxcl
- generates a standard boxplot for a classified data set.
- dispcandlesticks
- plots a candlesticksplot in specified window of a display
- dispcoxcomb
- plots a coxcomb graph, a special pie chart, for which the frequency is proportional to the area of the corresponding segment and the angles of the segments are all equal. Consequently, the frequency is proportional to the square of the radius of the segment.
- dispdot
- Generates a dotplot with tonal highlighting. An optional factor allows multiple dotplots by group.
- dispdotcl
- generates a dotplot with tonal highlighting of classified data.
- dispdotcl2
- generates a dotplot with tonal highlighting of classified data.
- displaytype
- Returns the number of graphical objects in a display.
- dispspleplot
- dispspleplot draws a spread and level plot into specific display
- distance
- distance computes the distance between p-dimensional datapoints depending on a specified metric.
- distribsmain
- main routine of library distribs
- 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.
- dlogspline
- logspline density - auxiliary quantlet for logspline density estimation
- 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.
- DOcorr
- performs a doubly ordered correspondence analysis on a two-way contingency table
- DOcorrOrPoly
- auxiliary quantlet for DOcorr
- doglm
- doglm provides an interactive menu for preparing data and fitting GLM in XploRe.
- domulti
- 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.
- dpgp
- Drees-Pickands estimator for the Generalized Pareto (GP) model.
- dpgpdiag
- Vector of Drees-Pickands estimators for the Generalized Pareto model
- dpgpgamma
- Shape parameter of the Drees-Pickands estimator.
- dpls
- calculates latent variables, weights, loadings and path coefficients with dynamic partial least squares algorithm
- draftman
- Generates a draftman plot of X.
- DSFM
- estimates a dynamic semiparametric factor model from the form: yt = m0(u) + bt1*m1(u) + bt2*m2(u)... btL*mL(u), where m0 to mL are 2-dimensional invariant basis functions on the grid u and bt0=1. bt1 to btL are scalar weights depending on time T. After estimation, the functions m are orthogonalized
- DSFM4IV
- estimates a dynamic semiparametric factor model from the form: yt = m0(u) + bt1*m1(u) + bt2*m2(u)... btL*mL(u), where m0 to mL are 2-dimensional invariant basis functions on the grid u and bt0=1. bt1 to btL are scalar weights depending on time T. After estimation, the functions m are orthogonalized
- dwade
- dwade estimation of the density weighted average derivatives
- dwt
- dwt computes the Discrete Wavelet Transformation of a vector.

(C) MD*TECH Method and Data Technologies, 05.02.2006 | Impressum |