Package index • TeachingDemos

All functions
`HWidentify()` `HTKidentify()`	Show label for point being Hovered over.
`Pvalue.norm.sim()` `Pvalue.binom.sim()` `run.Pvalue.norm.sim()` `run.Pvalue.binom.sim()`	Simulate P-values
`txtStart()` `txtStop()` `txtComment()` `txtSkip()` `etxtStart()` `etxtStop()` `etxtComment()` `etxtSkip()` `etxtPlot()` `wdtxtStart()` `wdtxtStop()` `wdtxtComment()` `wdtxtSkip()` `wdtxtPlot()` `mdtxtStart()` `mdtxtStop()` `mdtxtComment()` `mdtxtSkip()` `mdtxtPlot()`	Save a transcript of commands and/or output to a text file.
`SensSpec.demo()`	Demonstrate Sensitivity, Specificity, PPV, and NPV
`TeachingDemos-package` `TeachingDemos`	Various functions for demonstration and learning.
`TkApprox()`	Plot a set of data in a Tk window and interactively move lines to see predicted y-values corresponding to selected x-values.
`TkBuildDist()` `TkBuildDist2()`	Interactively create a probability distribution.
`TkListView()`	Interactivly view structures of list and list like objects.
`Predict.Plot()` `TkPredict()`	Plot predicted values from a model against one of the predictors for a given value of the othe predictors
`TkSpline()`	Plot a set of data in a Tk window and interactively move a line to see predicted y-values from a spline fit corresponding to selected x-values.
`USCrimes`	US Crime Statistics
`bct()`	Box-Cox Transforms
`cal()`	Plot a month or year calendar
`towork` `h2h` `ccc`	Sample data downloaded and converted from a GPS unit
`char2seed()`	Convert a character string into a random seed
`chisq.detail()`	Print details of a chi-squared test
`ci.examp()` `run.ci.examp()`	Plot examples of Confidence Intervals
`clipplot()`	Clip plotting to a rectangular region
`clt.examp()`	Plot Examples of the Central Limit Theorem
`cnvrt.coords()`	Convert between the 5 different coordinate sytems on a graphical device
`coin.faces`	Designs for coin faces for use with plot.rgl.coin
`col2grey()` `col2gray()`	Convert colors to grey/grayscale
`cor.rect.plot()`	Plot a visualization of the correlation using colored rectangles
`SnowsCorrectlySizedButOtherwiseUselessTestOfAnything()`	Snow's Correctly Sized But Otherwise Useless Test of Anything
`dice()` `plot(<dice>)`	Simulate rolling dice
`digits()`	Return the digits that make up an integer
`dots()` `dots2()`	Create a quick dotchart (histogram)
`dynIdentify()` `TkIdentify()`	Interacively place labels for points in a plot
`evap`	Data on soil evaporation.
`faces()`	Chernoff Faces
`faces2()`	Chernoff Faces
`fagan.plot()` `plotFagan()` `plotFagan2()` `plotFagan.old()` `plotFagan2.old()`	Create a Fagan plot to demonstrate Bayes Theorem and screening tests
`gp.open()` `gp.close()` `gp.send()` `gp.plot()` `gp.splot()`	Alpha version functions to send plotting commands to GnuPlot
`hpd()` `emp.hpd()`	Compute Highest Posterior Density Intervals
`%<%` `%<=%`	Less than or Less than and equal operators that can be chained together.
`lattice.demo()`	Interactively explore the conditioned panels in lattice plots.
`ldsgrowth`	Growth of The Church of Jesus Christ of Latter-day Saints.
`loess.demo()`	Demonstrate the internals of loess curve fits
`mle.demo()`	Demonstrate the basic concept of Maximum Likelihood Estimation
`ms.polygram()` `ms.polygon()` `ms.filled.polygon()` `ms.male` `ms.female` `ms.arrows()` `ms.sunflowers()` `ms.image()` `ms.face()`	Symbol functions/data to be passed as symb argument to my.symbols
`my.symbols()`	Draw Symbols (User Defined) on a Plot
`SnowsPenultimateNormalityTest()`	Test the uninteresting question of whether the data represents an exact normal distribution.
`outliers`	Outliers data
`pairs2()`	Create part of a scatterplot matrix
`panel.my.symbols()`	Draw Symbols (User Defined) on a Lattice Plot
`petals()`	Play the Petals Around the Rose game
`rgl.coin()` `rgl.die()` `flip.rgl.coin()` `roll.rgl.die()`	Animated die roll or coin flip
`plot2script()`	Create a script from the current plot
`power.examp()` `run.power.examp()` `run.power.examp.old()`	Graphically illustrate the concept of power.
`put.points.demo()`	Demonstrate Correlation and Regression by placing and moving data points
`rgl.Map()`	Plot a map in an rgl window
`roc.demo()`	Demonstrate ROC curves by interactively building one
`rotate.cloud()` `rotate.persp()` `rotate.wireframe()`	Interactively rotate 3D plots
`run.cor.examp()` `run.cor2.examp()` `run.old.cor.examp()` `run.old.cor2.examp()`	Interactively demonstrate correlations
`run.hist.demo()`	Create a histogram and interactively change the number of bars.
`shadowtext()`	Add text to a plot with a contrasting background.
`sigma.test()`	One sample Chi-square test for a population variance
`simfun()`	Create a function to simulate data
`slider()`	slider / button control widgets
`sliderv()`	Create a Tk slider window
`spread.labs()`	Spread out close points for labeling in plots
`squishplot()`	Squish the plotting area to a specified aspect ratio
`steps`	Steps data
`stork`	Neyman's Stork data
`subplot()`	Embed a new plot within an existing plot
`tkBrush()`	Change the Color and Styles of points interactively
`tkexamp()`	Create Tk dialog boxes with controls to show examples of changing parameters on a graph.
`tree.demo()`	Interactively demonstrate regression trees
`triplot()`	Create or add to a Trilinear Plot
`updateusr()`	Updates the 'usr' coordinates in the current plot.
`vis.binom()` `vis.gamma()` `vis.normal()` `vis.t()`	Plot various distributions then interactivly adjust the parameters.
`vis.boxcox()` `vis.boxcoxu()` `vis.boxcox.old()` `vis.boxcoxu.old()`	Interactively visualize Box-Cox transformations
`vis.test()` `vt.qqnorm()` `vt.normhist()` `vt.scatterpermute()` `vt.tspermute()` `vt.residpermute()` `vt.residsim()`	Do a Visual test of a null hypothesis by choosing the graph that does not belong.
`z.test()`	Z test for known population standard deviation
`zoomplot()` `oldzoomplot()`	Zoom or unzoom an existing plot in the plot window

Reference

All functions