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

pacf - pansort - pdfbin - pinala - plot2 - plothist - plotstar - print - pruneseq - putglobal
pacf computes the partial autocorrelation function
pacfplot plots the partial autocorrelation function of a time series.
paf paf selects rows of an object depending on a given vector. All elements of the first argument are taken if the corresponding vector element is unequal to 0. Otherwise there are dropped.
pancoint Computes FM-OLS estimates for cointegration equations with homogenous cointegration parameters and heterogeneous short-run dynamics and deterministics
pandyn Estimaties dynamic panel data model with GMM
pandyn2 2nd Step of the 2-stage dynamic GMM
panfix Estimation of a static Fixed-Effects-Modell
panhaus Hausman Test for a correlation between the regressors and the individual effects
panlag Computes the lag of the variable
panrand Estimation of a static Random-Effects-Modell
pansort
panstats Computes summary statistics of the variables
pantime Subtracts the mean of period t from the model variables. Purpose: Accounting for fixed time effects
panunit Computes unit root statistics for panel data
parallel shows parallel coordinate plots for the principal components of the selected variables. The number of gridpoints can be chosen be the user and one or more group variables (disctrete type) can be selected.
parallelrech
parzen calculates the parzen window
pca PCA performs a Principal Component Analysis for x. It is possible to choose interactively between different criteria for the PCA's and confidence intervals.
pcad pcad estimates the additive components, the significant directions and the regression on principal components
pdfb pdfb returns the value of the density of the beta distribution function for elements of an array.

pdfbin computes the probability function of a binomial distribution B(n,p) at a grid x
pdfc pdfc returns the value of the density of the chi-square-distribution with d degrees of freedom for elements of an array.

pdff pdff returns the value of the density of the F-distribution with d and e degrees of freedom for elements of an array.

pdfn pdfn returns the value of the density of the standard normal distribution for elements of an array.
pdft pdft returns the value of the density of the t-distribution with d degrees of freedom for elements of an array.

pdfx pdfx returns the value of the extreme value and generalized pareto densities for elements of a vector.
pgram computes and plots the raw (log) periodogram of a time series
phigen auxiliary quantlet for full VAR model analysis
pickandsgp Pickands estimator for GP model.
pickandsgpdiag Vector of Pickands estimator for GP model.
pinala Supporting Quantlet for cartsplit
plmhetexog plmhetexog estimates the parameter part in partially linear heteroscedastic models, in which the variance is an unknown function of exogenous variables
plmhetmean plmhetmean estimates the parameter part in partially linear heteroscedastic models, in which the variance is an unknown function of the mean. We use the replication technique to estimate the variance functions.
plmhett plmhett estimates the parameter part in partially linear heteroscedastic models, in which the variance is an unknown function of nonparametric variables
plmk plmk estimates the parameter part in partially linear models by using kernel to approximate the nonparametric part
plmls plmls estimates partially linear models by using least squares spline to approximate the nonparametric part.
plmp plmp estimates the parametric part in partially linear models by using piecewise polynomial to approximate the nonparametric part
plmtest plmtest verifies the PLM macros.
plmtest plmtest verifies the PLM macros.
plot Convenient function for plotting results. Creates a global variable (plotdisplay) that contains a plot with at most five dataparts.
plot2 Plots the first two columns from a multivariate dataset.
plotandrews Plots andrews curves from a multivariate dataset andrews.
plotbar plots each variable in a separate barchart
plotbox High level routine for boxplots.
plotboxgrouped Generates a boxplots for grouped data with mean line (dotted) and median line (solid).
plotcart2 produces the cut graphic for a CART tree and allows the user interactively to change the tree parameters as well as the projection plane.
plotcarttree Plots the regression tree of CART.
plotdot High level routine for dotplots.
plotface plots and prints Flury faces interactively
plotgt Interactive grand tour and projection pursuit methods of a multivariate dataset.
plothist Plots a histogram of x
plothistwtd Plots a weighted histogram of x
plotir Plots impulse response functions (ir) of a K-dimensional VAR(p) optionally with up to four different confidence intervals or confidence limits. Different methods for computing confidence intervals for impulse responses are thus graphically comparable. Optionally, the appearance of the graphical output can be controlled.
plotlorenz plots a Lorenz curve
plotmain Generates constants and loads all libraries necessary for the high level graphics of plot.
plotmosaic Graphical Contingency Table
plotnan Plots a data set in a scatterplot and includes the missing values in the data.
plotpcp Plots a parallel coordinates plot from a multivariate dataset.
plotscml Plots a scatterplotmatrix with common axes where all plots are linked.
plotsplom Plots a scatterplot matrix from a multivariate dataset x.
plotstar Plots a star diagram.
plottest Tests the macros of the plot library.
portmant calculates the multivariate portmanteau statistic
powell powell calculates the semiparametric estimator proposed by Powell (1987) of the slope coefficients of the outcome equation in a sample selection model.
power calculates x to the power of exponent
powers performs a potenz transformation of the selected variables in ISTA. The transformed variables can replace the original ones or can be appended on the end of data.x. the type is automatically set continuous.
ppmain Generates constants and loads all libraries necessary for pp.
pptest Tests the macros of the pp library.
pred Given a regression tree m (output of cartsplit) and a vector x, returns m(x), that is, the predicton of the tree on that point.
prederr Given a regression tree and observations gives the mean predicton error of the regression tree for that data.
print print a display or a datapart of it.

probbs sets optional parameters for linregbs interactively
probfs2 sets optional parameters for linregfs interactively
probsw sets optional parameters for linregstep interactively
proc defines a procedure

prod prod computes the product of the elements of an array regarding a given dimension.
prognos2 Forecasts of undifferenced series for VAR Models
prognose forecasting in VAR models
prune Prunes a smaller regression tree from a tree which has been created by the cartsplit procedure. Uses error-complexity criterion.
prunecv Given a regression tree and observations, gives the mean predicton error of the regression trees for that data, for every tree in the sequence of subtrees, pruned from the original tree.
pruneseq Gives the numbers of leaves and the values of the complexity parameters in the sequence of subtrees, pruned from a tree which has been created by the cartsplit procedure. Prunes using error-complexity criterion.
prunetot Prunes a smaller regression tree from a tree which has been created by the cartsplit procedure.
pswap exchanges the category labels of a vector into other ones. Here the old category labels as well as the targed category labels have to be specified. You don't specify categories which should be unchanged
putglobal putglobal generates a global variable


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