Package Justification

This package revolutionizes statistical data analysis by allowing the user to easily greet him or herself in the morning via an R console interface. After morning greetings, coding can begin.

Use

Imagine you wake up in the morning and wish to be greet yourself via the R console.

library(classex)
good_morning("Drew", print.greeting=FALSE)

Now you feel all warm and fuzzy, because your console told you good morning.

Development plans

As powerful as it is, good_morning() is relatively slow with large datasets. Future versions will be optimized for parallel computation, with an ultimate goal of $10^{12}$-$10^{15}$ morning greetings per second (MOGREPs).

Here's an unrelated point

One nice thing about RStudio is that the rmarkdown code you write to create a vignette is converted to HTML by pandoc, which allows you to insert $\LaTeX$ arbitrarily into the document by surrounding the $\LaTeX$ code with \$ signs. This is primarily useful for equations: This code:

$^qD = \left( \displaystyle\sum_{i=1}^{R}\right)^{1/(1-q)}$

creates this equation: $$ ^qD = \left( \displaystyle\sum_{i=1}^{R}\right)^{1/(1-q)} $$

Being able to include good-quality equations is super-useful in documenting data analysis code.



adsteen/classex documentation built on May 10, 2019, 7:26 a.m.