This package contains all of the functions written for posts on the Big Blog of R Adventures. Obviously, since it accompanies a blog, the package will always be "in development". Nonetheless, this should make it a lot easier to organize, document and share the code produced for this project.
A very simple suite of functions and methods to accompany a post on classification. During the post, I fit and create predictions with Naive Bayes and Linear Discriminant Analysis.
I take three different approaches to solving a Riddler on FiveThirtyEight.com. In the problem, we are visiting a national park where a set of geysers erupt at fixed intervals. We do not know when these intervals first began, but we need to find the probabilities for each geyser erupting first.
The standard version of the bootstrapping algorithm involves resampling data with replacement in order to repeatedly calculate a statistic on random data of the same size. In this post, I experiment with alternative sampling algorithms, including subsampling and m out of n bootstrapping. Both take a sample smaller than the original data, but the former doesn't use replace while the latter does.
This package is intended for very limited use, since most of the functions a drafted to illustrate something in a blog post. But if you would like to experiment with its few functions, feel free to install it.
# install.packages("devtools")
devtools::install_github("michaelquinn32/adventureR")