smovie: Some Movies to Illustrate Concepts in Statistics
smovie 1.1.1
New features
-
New movie:
cltq()
. Central Limit Theorem for sample quantiles. Illustrates the sampling distribution of the sample quantiles and the central limit theorem for sample quantiles. -
New movie:
mean_vs_median()
. Compares the sampling distributions of the mean and median for random samples from either a standard normal distribution or a standard Student t distribution. -
pkgdown documentation at https://paulnorthrop.github.io/smovie/
Bug fixes and minor improvements
-
In
ett()
the sample sizen
is now allowed to drop to 1 for those cases in which the normalising constants underlying the calculations are finite, such as the exponential, uniform and generalised Pareto distributions. Otherwise, 2 is the smallest allowable value forn
. -
When the Wald, Wilks and Score tests movie
wws()
is called from the main menu, viamovies()
a binomial example is used, so that the differences between the test statistics can be seen. -
Adjustments have been made to the
wws()
movie to ensure that the plot stays completely still during the animations.