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smovie

Some Movies to Illustrate Concepts in Statistics

What does smovie do?

The smovie package provides movies to help students to understand statistical concepts. The rpanel package is used to create interactive plots that move to illustrate key statistical ideas and methods. The movies cover the topics of probability distributions; sampling distributions of the mean (central limit theorem), the maximum (extremal types theorem) and the (Fisher transformation of the) correlation coefficient; simple linear regression; hypothesis testing.

An example

The function wws produces a movie to visualise the Wald, Wilks and score likelihood-based test statistics, for a model with a scalar unknown parameter. The user can change the value of the parameter under a simple null hypothesis and observe the effect on the test statistics. The following code uses the log-likelihood from a binomial experiment and considers the null hypothesis that the success probability θ is equal to θ0. The user may specify their own log-likelihood.

wws(theta0 = 0.5)

Installation

To get the current released version from CRAN:

install.packages("smovie")

Note that rpanel requires the Tcl extension BWidget. BWidget is included in the R installers for Windows and macOS. For other platforms please see Section 1.1.7 of Writing R Extensions for installation advice.

Vignettes

See vignette("smovie-vignette", package = "smovie") for an overview of the package.

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Install

install.packages('smovie')

Monthly Downloads

180

Version

1.0.1

License

GPL (>= 2)

Issues

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Maintainer

Paul Northrop

Last Published

April 21st, 2018

Functions in smovie (1.0.1)

shypo

Testing simple hypotheses
FPearson

Fisher's transformation of the Pearson product moment correlation coefficient
continuous

Univariate Continuous Distributions: p.d.f and c.d.f.
movies

Main menu for smovie movies
smovie

smovie: some movies to illustrate concepts in statistics
ett

Extremal Types Theorem (ETT)
lev_inf

Leverage and influence in simple linear regression movie
clt

Central Limit Theorem (CLT)
correlation

Sampling distribution of the Pearson correlation coefficient movie
discrete

Univariate Discrete Distributions: p.m.f and c.d.f.
wws

Wald, Wilks and Score tests