
| | 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
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