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

D


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.

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, 05.02.2006Impressum