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.
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.
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).
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.
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