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TeachingDemos (version 2.12)

Demonstrations for Teaching and Learning

Description

Demonstration functions that can be used in a classroom to demonstrate statistical concepts, or on your own to better understand the concepts or the programming.

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Version

Install

install.packages('TeachingDemos')

Monthly Downloads

10,709

Version

2.12

License

Artistic-2.0

Maintainer

Greg Snow

Last Published

April 7th, 2020

Functions in TeachingDemos (2.12)

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.

Sample data downloaded and converted from a GPS unit

Box-Cox Transforms

Print details of a chi-squared test

Simulate rolling dice

Return the digits that make up an integer

Convert a character string into a random seed

Plot a month or year calendar

US Crime Statistics

Plot Examples of the Central Limit Theorem

Convert between the 5 different coordinate sytems on a graphical device

Create a quick dotchart (histogram)

Data on soil evaporation.

Plot examples of Confidence Intervals

Interacively place labels for points in a plot

Demonstrate the basic concept of Maximum Likelihood Estimation

Plot a visualization of the correlation using colored rectangles

Clip plotting to a rectangular region

Less than or Less than and equal operators that can be chained together.

Symbol functions/data to be passed as symb argument to my.symbols

Graphically illustrate the concept of power.

Convert colors to grey/grayscale

Interactively explore the conditioned panels in lattice plots.

Designs for coin faces for use with plot.rgl.coin

Demonstrate the internals of loess curve fits

Growth of The Church of Jesus Christ of Latter-day Saints.

SnowsCorrectlySizedButOtherwiseUselessTestOfAnything

Snow's Correctly Sized But Otherwise Useless Test of Anything

Create part of a scatterplot matrix

Create a script from the current plot

Demonstrate ROC curves by interactively building one

Neyman's Stork data

put.points.demo

Demonstrate Correlation and Regression by placing and moving data points

Interactively rotate 3D plots

Interactively demonstrate correlations

Create a histogram and interactively change the number of bars.

Create a Fagan plot to demonstrate Bayes Theorem and screening tests

Play the Petals Around the Rose game

Compute Highest Posterior Density Intervals

Plot a map in an rgl window

slider / button control widgets

Animated die roll or coin flip

Embed a new plot within an existing plot

Create or add to a Trilinear Plot

Change the Color and Styles of points interactively

Alpha version functions to send plotting commands to GnuPlot

Add text to a plot with a contrasting background.

Create a Tk slider window

panel.my.symbols

Draw Symbols (User Defined) on a Lattice Plot

Spread out close points for labeling in plots

Draw Symbols (User Defined) on a Plot

SnowsPenultimateNormalityTest

Test the uninteresting question of whether the data represents an exact normal distribution.

Updates the 'usr' coordinates in the current plot.

Do a Visual test of a null hypothesis by choosing the graph that does not belong.

Z test for known population standard deviation

Create a function to simulate data

One sample Chi-square test for a population variance

Squish the plotting area to a specified aspect ratio

Interactively visualize Box-Cox transformations

Interactively demonstrate regression trees

Plot various distributions then interactivly adjust the parameters.

Create Tk dialog boxes with controls to show examples of changing parameters on a graph.

Zoom or unzoom an existing plot in the plot window

Plot predicted values from a model against one of the predictors for a given value of the othe predictors

TeachingDemos-package

Various functions for demonstration and learning.

Show label for point being Hovered over.

Save a transcript of commands and/or output to a text file.

Interactivly view structures of list and list like objects.

Pvalue.norm.sim

Simulate P-values

Plot a set of data in a Tk window and interactively move lines to see predicted y-values corresponding to selected x-values.

Demonstrate Sensitivity, Specificity, PPV, and NPV

Interactively create a probability distribution.