XploRe Quantlets: XploRe: Learning Guide

* XploRe - the interactive statistical computing environment


  • To use these quantlets with your local XploRe version, save the files (****.xpl) on your local disk and execute them from XploRe.
  • Within a quantlet page you can also use the Execute or Edit button to directly send the quantlets to an XQS.


desc01   (desc01.xpl)
Simple data matrices.

desc02   (desc02.xpl)
Loading data and matrix operations.

desc03   (desc03.xpl)
Scatterplot of two variables.

desc04   (desc04.xpl)
Statistical characteristics of sales and profits data.

desc05   (desc05.xpl)
Statistical characteristics of earning data.

desc06   (desc06.xpl)
Frequencies of categorical data.

desc07   (desc07.xpl)
Missing and infinite values.

desc08   (desc08.xpl)
Descriptive statistics for earning data.

desc09   (desc09.xpl)
Frequency tables and cross tables for earning data.

glm01   (glm01.xpl)
Interactive GLM estimation (linear regression).

glm02   (glm02.xpl)
Non-interactive GLM estimation (linear regression).

glm03   (glm03.xpl)
Non-interactive GLM estimation (logit model).

glm04   (glm04.xpl)
Non-interactive GLM estimation (logit model) with constraint.

glm05   (glm05.xpl)
Non-interactive GLM estimation (logit model) with hypothesis testing.

glm06   (glm06.xpl)
Model selection in GLM (linear regression).

graph21   (graph21.xpl)
Plotting data.

graph22   (graph22.xpl)
Plotting a function.

graph23   (graph23.xpl)
Plotting several functions.

graph24   (graph24.xpl)
Coloring data points.

graph25   (graph25.xpl)
Plotting lines.

graph26   (graph26.xpl)
Plotting colored lines.

graph27   (graph27.xpl)
Several plots in one display.

graph31   (graph31.xpl)
Boxplot.

graph32   (graph32.xpl)
Rescaled boxplot.

graph33   (graph33.xpl)
Rescaled dotplot.

graph34   (graph34.xpl)
Rescaled dotplot.

graph35   (graph35.xpl)
Bar chart.

graph36   (graph36.xpl)
Q-Q plot.

graph37   (graph37.xpl)
Histogram.

graph38   (graph38.xpl)
Histogram with different binwidth.

graph39   (graph39.xpl)
Histogram with different binwidth and origin.

graph3A   (graph3A.xpl)
Average shifted histogram.

graph41   (graph41.xpl)
3D scatterplot.

graph42   (graph42.xpl)
Surface of the bivariate normal density.

graph43   (graph43.xpl)
Contour plot of the bivariate normal density.

graph44   (graph44.xpl)
Sun flower plot.

graph45   (graph45.xpl)
Linear regression graphics.

graph46   (graph46.xpl)
Bivariate linear regression graphics.

graph47   (graph47.xpl)
First two principal components based on the correlation matrix.

graph48   (graph48.xpl)
Star diagram.

graph49   (graph49.xpl)
Scatterplotmatrix.

graph4A   (graph4A.xpl)
Andrews curves based on the principal components.

graph4B   (graph4B.xpl)
Parallel coordinate plot.

graph51   (graph51.xpl)
Parallel boxplots of several variables.

graph52   (graph52.xpl)
Coordinate axes, $95\%$ mass circle and random sample of a bivariate standard normal distribution.

graph53   (graph53.xpl)
Contour plot of the density of the standard bivariate normal distribution colored after a HLS color scheme.

graph61   (graph61.xpl)
Coloring of data points by graphic commands.

graph62   (graph62.xpl)
Different coloring of data points by graphic commands.

graph63   (graph63.xpl)
Different appearance of data points by graphic commands.

graph64   (graph64.xpl)
Different appearance of data points by graphic commands.

graph65   (graph65.xpl)
Generating lines by graphic commands.

graph66   (graph66.xpl)
Mixed lines and data points by graphic commands.

graph67   (graph67.xpl)
Labeling of data points by graphic commands.

graph68   (graph68.xpl)
Labeling of data points at different positions by graphic commands.

graph69   (graph69.xpl)
Manipulating title and axes in a display.

graph6A   (graph6A.xpl)
Manipulating plots in a display.

iofmt01   (iofmt01.xpl)
Read and write simple data files.

iofmt02   (iofmt02.xpl)
Read ASCII file.

iofmt03   (iofmt03.xpl)
Format numeric as strings.

iofmt04   (iofmt04.xpl)
Change the output headline.

iofmt05   (iofmt05.xpl)
Change the output layer style.

iofmt06   (iofmt06.xpl)
Change the output line number style.

iofmt07   (iofmt07.xpl)
Change the output formats.

iofmt08   (iofmt08.xpl)
Direct output to a file.

kalm01   (kalm01.xpl)
Generates observations of a state-space model.

kalm02   (kalm02.xpl)
Applies the Kalman filter on a time series.

kalm03   (kalm03.xpl)
Applies the Kalman smoother on a time series.

kalm04   (kalm04.xpl)
Applies the EM-algorithm to estimate unknown parameters of the state-space model underlying a given time serie.

matrix01   (matrix01.xpl)
Simple matrices.

matrix02   (matrix02.xpl)
Simple matrix computations.

matrix03   (matrix03.xpl)
Comparison operators.

matrix04   (matrix04.xpl)
Extracting elements of a matrix.

matrix05   (matrix05.xpl)
Matrix reshaping.

matrix06   (matrix06.xpl)
Matrix sums and products.

matrix07   (matrix07.xpl)
Distance matrices.

matrix08   (matrix08.xpl)
Matrix decompositions.

matrix09   (matrix09.xpl)
Lists and list handling.

metric01   (metric01.xpl)
Illustrates Tobit estimation.

metric02   (metric02.xpl)
Illustrates average derivative estimation.

metric03   (metric03.xpl)
Illustrates density weighted average derivative estimation.

metric04   (metric04.xpl)
Illustrates how a parametric single index test can be tested against a semiparametric alternative.

metric05   (metric05.xpl)
Illustrates estimation of a parametric self selection model.

metric06   (metric06.xpl)
Illustrates estimation of a semiparametric self selection model.

metric07   (metric07.xpl)
Panel data example.

nn1   (nn1.xpl)
Simple classification network.

nn2   (nn2.xpl)
More complex classification network.

quant01   (quant01.xpl)
Example quantlet which generates a regression line.

quant02   (quant02.xpl)
Example quantlet, which generates a regression line, adds random noise, and plots.

quant03   (quant03.xpl)
Example quantlet, which generates a regression line, adds random noise, calculate estimates and plots.

quant04   (quant04.xpl)
Example quantlet defining a procedure.

quant05   (quant05.xpl)
Example quantlet procedure with input parameter, which allows to show an outlier in linear regression.

quant06   (quant06.xpl)
example of quantlet

quant07   (quant07.xpl)
Demonstrates the use of putglobal.

quant08   (quant08.xpl)
Demonstrates the use of getglobal.

quant09   (quant09.xpl)
Safe squareroot - conditioning.

quant10   (quant10.xpl)
Signum - branching.

quant11   (quant11.xpl)
Factorial with while - endo.

quant12   (quant12.xpl)
Factorial with do - until.

quant13   (quant13.xpl)
Optional input and output parameters in a procedure.

quant14   (quant14.xpl)
Square root with error, if the argument is negative.

quant15   (quant15.xpl)
Square root with warning, if the argument is negative.

quant16   (quant16.xpl)
Selectitem box with 3 items.

quant17   (quant17.xpl)
An interactive choice between linear and Nadaraya-Watson regression.

quant18   (quant18.xpl)
Readvalue box with 3 items.

quant19   (quant19.xpl)
An interactive choice between linear and Nadaraya Watson regression. For the Nadaraya Watson regression, the bandwidth can be interactively selected.

regr1   (regr1.xpl)
Linear Regression with linreg and grlinreg.

regr2   (regr2.xpl)
Linear Regression with gls.

regr3   (regr3.xpl)
Multiple linear regression and model selection.

regr4   (regr4.xpl)
Nonlinear regression.

smoo01   (smoo01.xpl)
Visualizes the kernel density estimator as a sum of bumps.

smoo02   (smoo02.xpl)
Kernel density estimation (by WARPing).

smoo03   (smoo03.xpl)
Kernel density estimation (by exact computation on a grid of 30 points).

smoo04   (smoo04.xpl)
Family of kernel density estimates.

smoo05   (smoo05.xpl)
Interactive density bandwidth selection.

smoo06   (smoo06.xpl)
Confidence intervals for density estimation.

smoo07   (smoo07.xpl)
Confidence bands for density estimation.

smoo08   (smoo08.xpl)
Kernel regression estimation (by WARPing).

smoo09   (smoo09.xpl)
Residuals from kernel regression estimation (using exact computation).

smoo10   (smoo10.xpl)
Interactive regression bandwidth selection.

smoo11   (smoo11.xpl)
Computes pointwise confidence intervals and uniform confidence bands in univariate regression.

smoo12   (smoo12.xpl)
Computes and plots a local linear regression together with a derivative estimate and the data.

smoo13   (smoo13.xpl)
Computes a two-dimensional density estimate and plots the surface in 3D.

smoo14   (smoo14.xpl)
Computes a three-dimensional density estimate and plots the contours in 3D.

smoo15   (smoo15.xpl)
Compares a two-dimensional Nadaraya-Watson and a two-dimensional local linear regression.

start01   (start01.xpl)
Example quantlet which reads data, shows them, and computes the mean.

start02   (start02.xpl)
Example quantlet which reads data, plots a scatterplot, computes the regression line, and prints the final display.

start03   (start03.xpl)
Example quantlet which reads data, and shows the summary statistics.

start04   (start04.xpl)
Example quantlet which reads data, and plots a histogram.

start05   (start05.xpl)
Example quantlet which reads data, and plots a two-dimensional density estimate.

start06   (start06.xpl)
Example quantlet which reads data, and performs an interactive bandwidth selection for kernel regression.

times01   (times01.xpl)
Plots a time series.

times02   (times02.xpl)
Quantlets for computing and plotting the autocovariance function and partial autocovariance function.

times03   (times03.xpl)
Computes a periodogram of a time series.

times04   (times04.xpl)
Generates an AR process and smoothes its periodogram.

times05   (times05.xpl)
Generates a zero mean ARMA process.

times06   (times06.xpl)
Estimates parameters of an ARMA(1,1) process.

times07   (times07.xpl)
Estimates parameters of an ARMA(p,q) process.

times09   (times09.xpl)
Generates a TAR(p) process. Generates an EAR(p) process.

times10   (times10.xpl)
Generates a bilinear process.

times11   (times11.xpl)
Produces the Grassberger-Procaccia plot.

times12   (times12.xpl)
Generates a GARCH process.

xtrm01   (xtrm01.xpl)
Plots empirical qf and GP qf fitted by Moment(GP) and Hill(GP1) to dyr.dat

xtrm02   (xtrm02.xpl)
Plots empirical mean excess function and parametric ones fitted by Hill(GP1) and Moment(GP) estimator to dyr.dat


© MD*Tech - Method and Data Technologies, generated on 6.6.2000 .