Installation

install.packages("rmarkdown")

## This one's just for making plots later
install.packages("gapminder")

Syntax

Headers

Header 1

# Header 1

Header 2

## Header 2

Header 3

### Header 3

Header 4

#### Header 4
Header 5
##### Header 5
Header 6
###### Header 6

Text Styles

block quote

> block quote

Bold

**Bold**

Italic

*Italic*

endash: –

endash: --

emdash: —

emdash: ---

inline equation (using \(LaTeX\)): \(A = \pi*r^{2}\)

inline equation (using $LaTeX$): $A = \pi*r^{2}$

Subscripts Hello! and superscripts Hello! are easy.

Subscripts ~Hello!~ and superscripts ^Hello!^ are easy.

Here’s a link

[Here's a link](https://www.google.com)

Images

image: 

image: ![](https://s-media-cache-ak0.pinimg.com/originals/1d/96/13/1d96138537ae93c28554fa623f56a527.gif)

Lists

  • unordered list
  • number 2
    • sub-item (four spaces)
* unordered list
* number 2
  + sub-item (four spaces)
  1. ordered list
  2. item 2
    • sub-item (four spaces)
1. ordered list
2. item 2
    + sub-item (four spaces)

Tables

The default rendering is as you would see in the R terminal:

head(mtcars)
##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

You can use other styles, including interactive tables when knitting to HTML. Here’s one using a knitr kable:

knitr::kable(head(mtcars))
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1

Code

Here’s a piece of inline code to look at.

Here's a piece of `inline code` to look at.

Here is a piece of inline R code: 10

Here is a piece of inline R code: `r sum(3, 7)`
```
Code chunks are delineated by three backticks
```
# R Code goes here!!
# This will generate output
summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00
# Including "eval = FALSE" means this code will not run
summary(cars)

Plots

# Throw some plots in:
library(ggplot2)
library(gapminder)

ggplot(gapminder, aes(x = gdpPercap, y = lifeExp)) +
  geom_point(aes(color = continent))

# Reproducible reports for when your data changes:
library(MASS)
library(ggplot2)
set.seed(42)

df <- data.frame(mvrnorm(500, mu = c(0,0), Sigma = matrix(c(1,0.56,0.56,1), ncol = 2),
               empirical = TRUE))

head(df)
##           X1         X2
## 1 -1.5229629 -0.1039770
## 2 -0.6037383 -1.0562666
## 3 -0.1830964  0.1967777
## 4 -0.4197538  0.2290691
## 5  0.4354155  0.8071503
## 6  0.1885482  0.1035446
ggplot(df, aes(x = X1, y = X2)) +
  geom_point() +
  geom_smooth(method = "lm")

set.seed(500)

df <- data.frame(mvrnorm(500, mu = c(0,0), Sigma = matrix(c(1,0.56,0.56,1), ncol = 2),
               empirical = TRUE))

head(df)
##           X1         X2
## 1 -2.2014050 -0.6368717
## 2 -1.3510351 -1.9537550
## 3  0.7808272 -1.2277939
## 4  0.9720240 -0.3084019
## 5  0.3479552 -1.1997703
## 6  0.4815081  0.4875031
ggplot(df, aes(x = X1, y = X2)) +
  geom_point() +
  geom_smooth(method = "lm")

Other Languages

Code chunks can be in other languages including:

  • Python
  • SQL
  • Bash
  • Rcpp
  • Stan
  • JavaScript
  • CSS

Python

x = 'hello, world!'
print(x.split(' '))
## ['hello,', 'world!']

Footnotes

Here’s a footnote,1 and a second one. 2

Here's a footnote,[^1] and a second one. [^longnamednote]

[^1]: Here's the first footnote.

[^longnamednote]: Here's the other.

Source

The Rmd used to produce this can be found here.

  1. Here’s the first footnote.↩

  2. Here’s the other.↩