This is a tutorial on how to use R markdown for reproducible research
Here we can type long passages or decriptions of our data wihtout the need for “hashing” out our comments with the # symbol. In our first example, we will be using the ToothGrowth dataset. In this experiment, Guniea 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 chuck:
Toothdata <- ToothGrowth
head(Toothdata)
## 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 in line 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 previosuly used to denote text in an R script.
Make sure that 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 in the R markdown indentation matters!
We can put really nice quotes into the markdown document. We can do this by using the “>” symbol
“Genes are like the story, and DNA is the language that the story is written in”
— Sam Keen
Hyperlinks can also be incorporated into these files. This is especially useful in the 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 the R markdown’s homepage for this example. RMarkdown
We can also put nice formated formulas into Markdown using two dollar signs .
Hard-Weinberg Formula
\[p^2 + 2pq + q^2 = 1\]
And you 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 intreprets 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 enable, the same code chunk will not be evaluated the next time that the knitr is run. Great for code that has LONG run times.
fig.width or fig.height: the (graphical device) size of the R plots in inches. The figured are first written to the knitr document then to files that are saved 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 at a table of contents to our HTML Document. we 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: “Tristan Pettis” date: “2024-06-21” 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 add TABS in our report. To do this you need to specify each section that you want to become a tab by placing “{.tabset}” after the line. Every subsequent header will be a new tab.
You can also add themes to you HTML document that change the highlighting color and hyperlink color of your html output. 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 specifiying highlight: default tango payments kate monochrome espresso zenburn haddock textmate
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 the R code using the HTML format. This is also a great way to display your work if you are trying to market yourself to interested parties.