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dayofmonth |
returns the day of the month as string.
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dayofweek |
returns the day of the week as string.
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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
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delete |
deletes the object at the given position from the list.
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deletecase |
deletes selected cases from the data set
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deletedata |
deletedata removes a dataset from already plotted ones.
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deletevariable |
deletes selected variables from the data set
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denala |
Supporting Quantlet for cartsplit
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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.
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denbwsel |
interactive tool for bandwidth selection in
univariate kernel density estimation.
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dencb |
computes uniform confidence bands with
prespecified confidence level for univariate
density estimation.
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denci |
computes pointwise confidence intervals with
prespecified confidence level for univariate
density estimation. The computation uses WARPing.
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denest |
estimates a univariate density by kernel density
estimation. The computation uses WARPing.
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denestp |
estimates a p-dimensional density by kernel density
estimation. The computation uses WARPing.
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denrot |
determines a rule-of-thumb bandwidth for univariate
density estimation according to Silverman.
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denrotp |
determines a rule-of-thumb bandwidth for
multivariate density estimation according to Scott.
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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.
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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.
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denxcb |
computes uniform confidence bands with
prespecified confidence level for univariate
density estimation.
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|
denxci |
computes pointwise confidence intervals with
prespecified confidence level for univariate
density estimation.
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denxest |
estimates a univariate density by kernel density
estimation.
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denxestp |
estimates a p-dimensional density by kernel density
estimation. The computation uses WARPing.
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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.
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descriptivelinreg |
provides a short summary table of the X and Y variable
after regression analysis
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descriptivelong |
provides extensive descriptive statistics for selected
variables of the data set
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descriptiveshort |
Provides a short summary table for all variables of the
data set.
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det |
det computes the determinant of a matrix.
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dgenci |
auxiliary quantlet for cointegration
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diag |
diag creates a diagonal matrix from a vector.
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diagrv |
replaces the diagonal of x by v
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diff |
Computes first differences (along the rows)
of an array.
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dim |
dim gives the vector of the numbers of the elements in each dimension of an array.
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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.
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discrim |
computes the discrimination function for an obs x given samples x1 and x2
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dispbar |
plots a barchart in specified window of a display
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dispbox |
Generates a standard boxplot. An optional factor allows
multiple boxplots by group.
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dispcart2 |
produces the cut graphic for a CART tree in a user
specified display.
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dispcarttree |
Plots the regression tree of CART in a display
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dispcarttree |
Plots the regression tree of CART in a display
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dispdot |
Generates a dotplot with tonal highlighting. An optional
factor allows multiple dotplots by group.
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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.
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divisive |
performs an adaptive divisive K-means cluster
analysis with appropriate (adaptive)
multivariate graphic using principal components
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dlcall |
dlcall calls a function defined in a dynamically linked library.
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|
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.
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|
dlopen |
dlopen loads a dynamically linked library.
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|
dlquery |
dlquery returns the handles and names of the loaded dlls.
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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.
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|
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.
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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.
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dot |
a dot gives an element of a list.
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dotplot |
shows a dotplot for the selected variables.
One or more group variables (disctrete type) can be
selected.
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|
dotplotrech |
computes the dotplot of selected variables
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dpgp |
Drees-Pickands estimator for GP model.
|
|
dpgpdiag |
Vector of Drees-Pickands estimator for GP model
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|
dpgpgamma |
Shape parameter of Drees-Pickands estimator.
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|
dpls |
calculating latent variables, weights, loadings
and path coefficients with dynamic partial least
squares algorithm
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|
draftman |
Generates a draftman plot of X.
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|
durbinwatson |
performes the durbin watson test for autocorrelation of
the X variables after regression analysis
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|
dwade |
dwade estimation of the density weighted average derivatives
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|
dwithr |
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dwt |
dwt computes the Discrete Wavelet Transformation of a vector.
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