This is a tutorial on how to use R Markdown for reproducible research.
Here we can type long passages or descriptions of our data without the need of “hashing” out our comments with the # symbol. In our first example, we will be using the ToothGrowth dataset. In this experiment, Guinea Pigs (literal) were given different amounts of vitamin C to see the effects on the animal’s tooth growth.
To run R code in a markdown file, we need to denote the section that is considered R code. We call these “code chunks”.
Below is a code chunk:
## len supp dose
## 1 4.2 VC 0.5
## 2 11.5 VC 0.5
## 3 7.3 VC 0.5
## 4 5.8 VC 0.5
## 5 6.4 VC 0.5
## 6 10.0 VC 0.5
As you can see, from running the “play” button on the code chunk, the results are printed inline of the r markdown file.
fit <- lm(len ~ dose, data=Toothdata)
b <- fit$coefficients
plot(len ~ dose , data = Toothdata)
abline(lm(len ~ dose, data=Toothdata))
Figure 1: The tooth growth of Guinea Pigs when given variable amounts of Vitamin C
The slope of the regression line is 9.7635714.
We can also put sections and subsections in our r markdown file, similar to numbers or bullet points in a word document. This is done with the “#” that we previously used to denot text in R script.
Make sure you put a space after the hashtag, otherwise it will not work!
We can also add bullet point type marks in our r markdown file.
Its important to note here that in R Markdown indentation matters!
We can put really nice quotes into the markdown document. We do this by using the “>” symbol.
“Genes are like the story, and DNA is the language that the story is written in.”
— Sam Kean
Hyperlinks can also be incorporated to these files. This is especially useful in HTML files, since they are in a web browser and will redirect the reader to the material that you are interested in showing them. Here we will use the link to R Markdown’s homepage for this example. Markdown
We can also put nice formatted formulas into Markdown using two dollar signs.
Hard-Weinberg Formula
\[p^2 + 2pq + q^2 =1 \]
And you can get really complex as well!
\[\Theta = \begin{pmatrix}\alpha & \beta\\ \gamma & \delta \end{pmatrix}\]
There are also options for your R markdown file on how knitr inerprits the code chunk. There are the following options.
Eval (T or F): whether or not to evaluate the code chunk.
Echo (T or F): whether or not to show the code for the chunk, but results will still print.
Cache: If you enable the cache, the same code chunk will not be evaluated the next time that knitr is run. Great for code that has LONG run times.
fig.width or fig.height: the (graphical device) of the R plots in inches. The figures are first written to the knitr document then to files that are separately.
out.width or out.height: The output size of the R plots IN THE R DOCUMENT.
fig.cap: The words for the figure caption.
We can also add a table of contents to our HTML Document. We can do this by altering the YAML code (the weird code chunk at the very top of the document.) We can add this:
title: “HTML_Tutorial” author: “Shelby_Bratton” date: “2024-10-08” output: html_document: toc: true toc_float: true
This will give us a very nice floating table of contents on the right hand side of the document.
You can also tabs in our report. To do this you need to specify each section that you want to become a tab by placing a “{.tabset}” after the line. Every subsequent header will be a new tab
You can also add themes to your HTML document that change the highlighting color and hyperlink color. This can be nice asthetically. To do this, you change your theme in the YAML to one of the following:
cerulean journal flatly readable spacelab united cosmo lumen paper sandstone simplex yeti null
You can also change the color by specifying highlightL
default tango payments kate monochrome espresso zenburn haddock texmate
You can also use the code_folding option to allow the reader to toggle between displaying the code and hiding the code. This is done with:
code_folding: hide
There are a ton of options and ways for you to customize your R code using the HTML format. This is also a great way to display a “portfolio” of your work if you are trying to market yourself to interested parties.