One of the big sells of Pelican is being able to use multiple markdup formats, being able to drop in notebooks and documents written in other contexts. One such format is RMarkdown (.rmd) documents, such as are used in knitr for reproducible analyses, allowing you to do an analysis and …
If you're doing reproducbility in R Studio, you're probably using knitr. And if you're using knitr, you're probably using Markdown. Unfortunately, due to the lack of a standard for Markdown (and the subsequent proliferation of various flavours and extensions), it's sometimes not clear what syntax is available to you. Consequently …
The first thing to know is that nearly every object in R is really just a list with named elements. For example, the results returned from "summary" are returned in an object:
x <- summary(c(1:10)) x ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 1 …
The various types of OOP in R, whatever that is.
Doing object-oriented programming (OOP) in R can be complicated. This is because when you look in R for the usual idioms and features of OOP:
A more recent development in R is Reference classes. These promise, at last, fully blown objects and classes like those of C++ and Java. Naturally, this innovation comes with some downsides:
knitr is a useful R package/tool for documenting analysis. Basically, it allows the embedding of R code "chunks" within a simple text document. This document can then be "knitted", which means that the R code is interpreted and reinserted in the document along with the results of that code …