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using-rmarkdown.Rmd
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---
title: "Writing reproducible, re-usable reports, with R + markdown"
author: "Peter Ralph"
date: September 29, 2020
---
```{r setup, include=FALSE}
knitr::opts_knit$set(self.contained=TRUE)
```
Markdown
========
Goal:
-----
Communicate your thoughts to your collaborators and your future self,
. . .
combining text, math, documented code,
. . .
and **no fuss**.
----------------------
No fussing about layout:
- unformatted text
- [markdown](http://commonmark.org/)
- [LaTeX](http://latex-project.org/intro.html)
Markdown aims to be readable as-is, \
but has methods to produce beautiful output.
. . .
> A Markdown-formatted document should be publishable as-is, as plain text, without looking like it's been marked up with tags or formatting instructions. -- [John Gruber](http://daringfireball.net/projects/markdown/syntax#philosophy)
No, really, don't think about the layout
----------------------------------------
Don't even *think* about the layout,
just the content.
> [...] it is better to leave document design to document designers, and to let authors get on with writing documents -- [intro to LaTeX](http://latex-project.org/intro.html)
-----------------------------------------
Today's goal:
1. Learn a few simple rules
2. and get going producing content.
Structuring text
----------------
1. Separate things with empty lines.
2. Wrap lines whenever you feel like it.

<!--
On a typewriter,
carriage return
always does the same thing.
But, it's nice to have different (semantic) levels of spaces.
-->
Source
---------------
````{.markdown}
Text formatting
===============
Inline markup
-------------
**Paragraphs** begin and end
with empty lines, and are *not* indented.
- **bold** and *emphasis*
- ~~strikeout~~
- super^scripts^ and sub~scripts~
- and `inline_code($fixed.width)`
````
Result
----------------
### Text formatting
#### Inline markup
**Paragraphs** begin and end with empty lines,
and are *not* indented.
- **bold** and *emphasis*
- ~~strikeout~~
- super^scripts^ and sub~scripts~
- and `inline_code($fixed.width)`
Source
----------------
````{.markdown}
Lists must be preceded by an empty line,
1. ordered or unordered.
2. Indenting subsequent content
- will continue the list
* and nest
* other lists.
3. *Indenting* means one tab, or four spaces.
After using markdown for a bit,
go read [pandoc's documentation](http://pandoc.org/README.html).
````
---------------
Lists must be preceded by an empty line,
1. ordered or unordered.
2. Indenting subsequent content
- will continue the list
* and nest
* other lists.
3. *Indenting* means one tab, or four spaces.
After using markdown for a bit,
go read [pandoc's documentation](http://pandoc.org/README.html).
Math
----
```
Math goes between `$`, single ($\pi$), or double:
$$ \frac{\pi}{4} = \sum_{n=0}^\infty \frac{(-1)^n}{2k+1} .$$
```
Math goes between `$`, single ($\pi$), or double:
$$\frac{\pi}{4} = \sum_{n=0}^\infty \frac{(-1)^n}{2k+1} .$$
------------------
Even math environments *inside* double dollar signs:
```{.md}
$$
\begin{align}
x &= (a+b)^2 - (a-b)^2 \\
&= 4ab
\end{align}
$$
```
\begin{align}
x &= (a+b)^2 - (a-b)^2 \\
&= 4ab
\end{align}
Code blocks
-----------
```{.r}
msg <- "Hello, world."
print(msg)
```
**produces**
```{.R}
msg <- "Hello, world."
print(msg)
```
Blockquotes
-----------
> I also dream about a modern replacement for LaTeX
> designed from the ground up to target multiple output formats
> (at least PDF, HTML, EPUB). -- [John MacFarlane](http://john.macfarlane.usesthis.com/)
**produces**
> I also dream about a modern replacement for LaTeX
> designed from the ground up to target multiple output formats
> (at least PDF, HTML, EPUB). -- [John MacFarlane](http://john.macfarlane.usesthis.com/)
Links and Images
------------------
[Links](http://www.w3.org/) just go in parentheses,
and can be [internal](#links-and-images).
```{.markdown}
[Links](http://www.w3.org/) just go in parentheses,
and can be [internal](#links-and-images).
```
----------------------
Images are **the same** but with a `!` in front. \
Setting width and height are optional.
```{.markdown}
{width=300px height=300px}
```
{width=300px height=300px}
Rendering markdown with [pandoc](http://pandoc.org)
==================================================
Get started!
------------
Directions / in Rstudio.
0. Make a directory for this workshop \
/ start a new project.
1. Open a text editor \
/ open a new Rmarkdown file and delete everything.
2. Write some text.
3. Save it as `notes.Rmd`.
-------------
To compile, either:
* Open `R`, run
```{.r}
library(knitr)
knit2html("notes.Rmd")
```
and open `notes.html` in your web browser.
* **or** in `Rstudio`, save the file (with suffix `.Rmd`) and click on *knit*.
*Where is it?* Use `getwd()` to tell you.
Wait, but the layout?
---------------------
Remember,
> [...] it is better to leave document design to document designers, and to let authors get on with writing documents.
. . .
If you **must**, then:
- tweak the css
- modify a [rmarkdown format](http://rmarkdown.rstudio.com/developer_custom_formats.html)
- or a [pandoc template](http://pandoc.org/README.html#templates)
Gotchas
-------
1. many things need to begin with an empty line
1. carriage returns don't (usually) mean anything
1. but indentations do (*by at least four spaces*)
. . .
For more info see [the documentation](http://pandoc.org/README.html#the-four-space-rule).
Metadata
--------
At the top of your document, add
```{.yaml}
---
title: YOUR TITLE HERE
author: YOUR NAME HERE
date: August 23, 2017
---
```
... the [YAML](http://yaml.org/) metadata, \
delimited by **exactly three** dashes.
-----------------
**Note:** Besides setting the title,
you can control the **output** in
[many](http://tex.stackexchange.com/questions/139139/adding-headers-and-footers-using-pandoc/139205#139205)
[ways](http://rmarkdown.rstudio.com/html_document_format.html#pandoc-arguments)
here.
*For example*: add
```{.yaml}
output_format : pdf_document
```
and render with `rmarkdown::render("notes.md")`.
. . .
**or even:**
```{.yaml}
output_format : word_document
```
Under the hood
--------------
[`pandoc`](http://pandoc.org/README.html)
```{.sh}
pandoc --help
```
{width=567px height=339px}
Adding in R
===========
-----------
**Goal:**
add R code to the document,
*along with its output*.
. . .

Go ahead
--------
Just add a *chunk* of R code, wrapped in
`````{.Rmd}
```{r}
# PUT ARBITRARY R CODE HERE
```
`````
. . .
**Try it!**
----------
`````{.Rmd}
Powers of two?
```{r}
2^(0:10)
```
`````
. . .
Powers of two?
```{r}
2^(0:10)
```
----------
`````{.Rmd}
How about this?
$$ \lim_{n \to \infty} 4 \sum_{k=1}^n \frac{ (-1)^n }{ 2n+1 } = \pi , $$
```{r}
cumsum( 4 * (-1)^(0:20) / (2*(0:20)+1) )
```
`````
. . .
How about this?
$$ \lim_{n \to \infty} 4 \sum_{k=0}^n \frac{ (-1)^n }{ 2n+1 } = \pi , $$
```{r}
cumsum( 4 * (-1)^(0:20) / (2*(0:20)+1) )
```
--------
`````{.Rmd}
```{r}
plot(cumsum( 4 * (-1)^(0:20) / (2*(0:20)+1) ))
abline(h=pi, col='red')
```
`````
. . .
```{r, fig.height=3.5}
plot(cumsum( 4 * (-1)^(0:20) / (2*(0:20)+1) ))
abline(h=pi, col='red')
```
Exercise
--------
Make a short Rmarkdown document
that
- checks that $$1 + 2 + \cdots + n = n(n+1)/2$$
for every $n$ between 1 and 100
- shows these on a plot
- explains what's being computed
*Useful:* `x = cumsum(1:100)` and `plot(x)` and `lines(y)`.
What's going on
---------------
1. `knitr` uses a *regular expression* to find code chunks
- pulls these out,
- evaluates them one at a time
- and inserts "the results" back in
2. `pandoc` renders the resulting markdown file
- with various choices of styling
Chunk options
-------------
Name each chunk,
and set [options](http://yihui.name/knitr/options/)
for [what gets printed](http://yihui.name/knitr/demo/output/)
`````{.Rmd}
```{r my_chunk_name, fig.height=4, echo=FALSE}
`````
`echo=(TRUE|FALSE)`
: include source code in the output?
`results="(markup|asis)"`
: style the output or not?
`include=(FALSE|TRUE)`
: include anything in the output?
-------------
Set document defaults up top:
```````{.Rmd}
```{r, include=FALSE}
fig.dim <- 5
library(knitr)
opts_chunk$set(
fig.height=fig.dim,
fig.width=2*fig.dim,
fig.align='center'
)
```
```````
Tables
------
One option: use `pander`.
```````{.Rmd}
```{r}
library(pander)
bases <- table( sample( c("A","C","G","T"), 300, replace=TRUE ) )
pander(t(bases))
```
```````
*note:* the transpose `t( )`
```{r}
library(pander)
bases <- table( sample( c("A","C","G","T"), 300, replace=TRUE ) )
pander(t(bases))
```
Inline code
-----------
`````{.Rmd}
You can
``r "r"` paste(letters[c(9,14,19,5,18,20)],collapse='')`
code anywhere.
`````
You can
`r paste(letters[c(9,14,19,5,18,20)],collapse='')`
code anywhere.
--------------
Even in the YAML header.
Go change yours!
---
title: "My notes"
author: "Peter Ralph"
date: "``r "r"` date()`"
---
Online example
==============
--------------
**Goal:**
Write a function that will generate all sequences of `A`/`C`/`G`/`T` of length $n$
for which no two adjacent letters are the same.
. . .
Here is a [pre-written solution](examples/sequences.html).
Your turn
---------
Download the
[iris dataset](https://raw.githubusercontent.com/petrelharp/r-markdown-tutorial/master/examples/iris.tsv)
to a new directory.
or just do
````{.R}
data(iris)
dir.create("examples")
write.table(iris,file="examples/iris.tsv",sep="\t")
````
----------
1. Read in the data.
2. Describe the dataset: number of observations, variables, etcetera.
- inline `R` code (`` ``r "r nrow(iris)"`` ``)
3. Make a table of the number of observations for each species.
* `pander()`
* or `results="asis"` and `print.xtable(xtable( ),type='html')`
4. Plot the flower dimensions against each other,
* using `pairs()`, and colored by species.
Templated reports
=================
-----------------
Set up some fake data:
each has 50 observations of two quantitative variables (`age` and `height`)
and a categorical variable (`type`):
```{r make_data, warning=FALSE}
dir.create("examples/thedata")
owd <- setwd("examples/thedata")
for (samp in LETTERS[1:8]) {
dir.create(samp)
xy <- data.frame(
age=exp(rnorm(50)),
type=sample(letters[1:3],50,replace=TRUE)
)
xy$height <- 5 + runif(1)*xy$age + 3*runif(1)*as.numeric(xy$type) + rnorm(50)
write.table(xy,file=paste0(samp,"/data.tsv"))
}
setwd(owd)
```
------------------
We now have 10 datasets,
each in a file like [`A/data.tsv`](examples/thedata/A/data.tsv).
Here's what one looks like:
```{r show_data}
xy
```
------------------
We would like to *visualize* each,
like this:
```{r plot_one_data, echo=FALSE}
xy <- data.frame(
age=exp(rnorm(50)),
type=sample(letters[1:3],50,replace=TRUE)
)
xy$height <- 5 + runif(1)*xy$age + 3*runif(1)*as.numeric(xy$type) + rnorm(50)/3
with(xy, plot( height ~ age, col=type ) )
legend( "topleft", pch=1, legend=levels(xy$type), col=1:nlevels(xy$type) )
```
---------------------
**The template:** `examples/simple-template.Rmd`
``````{.Rmd}
---
title: "Visualization for ``r "r"` getwd()`"
date: "``r "r"` date()`"
---
```{r setup, echo=FALSE}
input.file <- "data.tsv"
xy <- read.table(input.file)
```
The file ``r "r"` normalizePath(input.file)`
has ``r "r"` nrow(xy)` observations:
```{r}
plot( height ~ age, col=type, data=xy )
legend( "topleft", pch=1, col=1:nlevels(xy$type) )
```
``````
**Input:** this looks for the file `data.tsv` in the current directory.
-----------------------
**Render it:**
*Option 1:* copy the template into each of the ten directories, and render them there.
. . .
*Option 2:* use my `templater` package.
```{r, eval=FALSE}
library(devtools)
install_github("petrelharp/templater")
library(templater)
dir.names <- file.path("examples/thedata", LETTERS[1:8])
for (input.dir in dir.names) {
output.file <- file.path(input.dir, "visualization.html")
render_template("examples/simple-template.Rmd", output=output.file,
change.rootdir=TRUE, quiet=TRUE)
}
```
-------------------------
**Look at them:**
`````{.Rmd}
```{r make_links, results="asis"}
output.files <- file.path("examples/thedata", LETTERS[1:8], "visualization.html")
links <- paste("[",dir.names,"](",output.files,")",sep='')
cat( paste("- ", links, "\n"), "\n" )
```
`````
```{r make_links, results="asis", echo=FALSE}
dir.names <- file.path("examples/thedata", LETTERS[1:8])
output.files <- file.path("examples/thedata", LETTERS[1:8], "visualization.html")
links <- paste("[",dir.names,"](",output.files,")",sep='')
cat( paste("- ", links, "\n"), "\n" )
```
Another exercise
----------------
**Goal:**
Compare different $k$ with $k$-means on the `iris` dataset.
1. Make subdirectories, called `iris/k`, for $1 \le k \le 5$,
2. and in each runs `kmeans` with the appropriate `k`.
Example:
```{r eval=FALSE}
data(iris)
km <- kmeans(iris[,1:4], centers=3)
pairs(iris, col=km$cluster)
```
Other resources
===============
---------------
- [Karl Broman's](http://kbroman.org/knitr_knutshell/pages/Rmarkdown.html) intro to Rmarkdown
- the extensive, excellent [documentation for pandoc](http://pandoc.org/README.html)
- [Stack](http://stackoverflow.com/questions/tagged/rmarkdown)[Overflow](http://stackoverflow.com/questions/tagged/knitr)
- my [technical notes](technical-notes.html) I made while writing this up