TeachingDemos-package: Various functions for demonstration and learning.

In TeachingDemos: Demonstrations for Teaching and Learning

Various functions for demonstration and learning.

Description

This package provides various demonstrations that can be used in classes or by individuals to better learn statistical concepts and usage of R. Various utility functions are also included

Details

Package:	TeachingDemos
Type:	Package
License:	Artistic-2.0

Demonstration functions in this package include:

ci.examp, run.ci.examp	Confidence Interval Examples
clt.examp	Central Limit Theorem Example
dice, plot.dice	Roll and Plot dice (possibly loaded)
faces, faces2	Chernoff face plots
fagan.plot	Fagan plot for screening designs
lattice.demo	The 3d slicing idea behind lattice/trellis graphics
loess.demo	Interactive demo to show ideas of loess smooths
mle.demo	Interactive demo of Maximum Likelihood Estimation
plot.rgl.coin, plot.rgl.die	Animate flipping a coin or rolling a die
power.examp	Demonstrate concepts of Power.
put.points.demo	Add/move points on a plot and see the effect on correlation and regression.
roc.demo	Interactive demo of ROC curves.
rotate.cloud	Interactively rotate 3d plots.
run.cor.examp	Show plots representing different correlations.
run.hist.demo	Interactively change parameters for histograms.
SensSpec.demo	Show relationship between Sensitivity, Specificity, Prevalence and PPV and NPV.
TkApprox	Interactive linear interpolations of data.
tkBrush	Brush points in a scatterplot matrix.
TkSpline	Interactive spline interpolations of data.
tree.demo	Interactively Recursive partition data (create trees).
vis.binom	Plot various probability distributions and interactively change parameters.
vis.boxcox	Interactively change lambda for Box Cox Transforms.
z.test	Z-test similar to t.test for students who have not learned t tests yet.
Pvalue.norm.sim
Pvalue.binom.sim	Simulate P-values to see how they are distributed.
run.Pvalue.norm.sim	GUI for above.
run.Pvalue.binom.sim
HWidentify
HTKidentify	Identify the point Hovered over with the mouse.
vis.test	test a null hypothesis by comparing graphs.

Utility functions include:

bct	Box-Cox Transforms.
char2seed	set or create the random number seed using a character string
clipplot	clip a plot to a rectangular region within the plot
col2grey	convert colors to greyscale
cnvrt.coords	Convert between the different coordinate systems
dynIdentify	Scatterplot with point labels that can be dragged to a new position
TkIdentify	Scatterplot with lables that can be dragged to new positions
gp.plot gp.splot	send commands to gnuplot
hpd	Highest Posterior Density intervals
my.symbols	Create plots using user defined symbols.
panel.my.symbols	Create lattice plots using user defined symbols.
plot2script	Create a script file that recreates the current plot.
shadowtext	plot text with contrasting shadow for better readability.
squishplot	Set the margins so that a plot has a specific aspect ratio without large white space inside.
spread.labs	Spread out coordinates so that labels do not overlap.
subplot	create a plot inside of an existing plot.
tkexamp	create plots that can have parameters adjusted interactively.
triplot	Trilinear plot for 3 proportions.
txtStart/etxtStart/wdtxtStart	Save commands and output to a text file (possibly for post processing with enscript).
zoomplot	recreate the current plot with different x/y limits (zoom in out).

Author(s)

Greg Snow [e-mail]

See Also

The tkrplot package

Examples

ci.examp()

clt.examp()
clt.examp(5)

plot.dice( expand.grid(1:6,1:6), layout=c(6,6) )

faces(rbind(1:3,5:3,3:5,5:7))

plot(1:10, 1:10)
my.symbols( 1:10, 1:10, ms.polygram, n=1:10, inches=0.3 )

x <- seq(1,100)
y <- rnorm(100)
plot(x,y, type='b', col='blue')
clipplot( lines(x,y, type='b', col='red'), ylim=c(par('usr')[3],0))

power.examp()
power.examp(n=25)
power.examp(alpha=0.1)

TeachingDemos documentation built on May 29, 2024, 5:59 a.m.