nineplot

<p>a vector of observations to be examined for Normality</p>

<p>Normality plots can be hard to judge if one is not experienced. This
function plots a Normality plot for the data surrounded by eight other
Normality plots for samples with the same mean and standard deviation
that were randomly generated. The eight plots provide an idea of the
variability to be expected in Normally distributed data.</p>

 hplot

Bayesian (and some likelihoodist) functions as alternatives to hypothesis-testing functions in R base using a user interface patterned after those of R's hypothesis testing functions. See McElreath (2016, ISBN: 978-1-4822-5344-3), Gelman and Hill (2007, ISBN: 0-521-68689-X) (new edition in preparation) and Albert (2009, ISBN: 978-0-387-71384-7) for good introductions to Bayesian analysis and Pawitan (2002, ISBN: 0-19-850765-8) for the Likelihood approach.  The functions in the package also make extensive use of graphical displays for data exploration and model comparison.

Robert Hulst

evidence

Analysis of Scientific Evidence Using Bayesian and Likelihood
Methods

nineplot function

produces a Normality plot for the argument surrounded by eight other Normality plots for Normal distributions having the same mean and standard deviation as the argument — nineplot

produces a Normality plot for the argument surrounded by eight other Normality plots for Normal distributions having the same mean and standard deviation as the argument

nineplot: produces a Normality plot for the argument surrounded by eight other Normality plots for Normal distributions having the same mean and standard deviation as the argument

Description

Usage

Arguments

Value

References

See Also

Examples