Easily resize images and table within your Rmarkdown and Quarto document

install.packages(r2resize)

library(r2resize)
add.resizer()

Plots

Images generated by knitr are saved in a figures folder. However, they also appear to be represented in the HTML output using a data URI scheme. This means that you can paste the HTML into a blog post or discussion forum and you don’t have to worry about finding a place to store the images; they’re embedded in the HTML.

Simple plot

Here is a basic plot using base graphics:

```r
set.seed(1234)
library(ggplot2)
library(lattice)
x <- 1:10
y <- round(rnorm(10, x, 1), 2)
df <- data.frame(x, y)
plot(x)
```

<img src="resize_files/figure-html/unnamed-chunk-2-1.png" width="672" />

plot(x)

Note that unlike traditional Sweave, there is no need to write fig=TRUE.

Multiple plots

Note that unlike traditional Sweave, there is no need to print lattice plots directly.

R Code chunk features

Create Markdown code from R

The following code hides the command input (i.e., echo=FALSE), and outputs the content directly as code (i.e., results=asis, which is similar to results=tex in Sweave).

Here are some dot points

* The value of y[1] is -0.21
* The value of y[2] is 2.28
* The value of y[3] is 4.08

Here are some dot points

• The value of y[1] is -0.21
• The value of y[2] is 2.28
• The value of y[3] is 4.08

Create Markdown table code from R

x | y
--- | ---
1 | -0.21
2 | 2.28
3 | 4.08
4 | 1.65
5 | 5.43
6 | 6.51
7 | 6.43
8 | 7.45
9 | 8.44
10 | 9.11

x	y
1	-0.21
2	2.28
3	4.08
4	1.65
5	5.43
6	6.51
7	6.43
8	7.45
9	8.44
10	9.11

Control output display

The folllowing code supresses display of R input commands (i.e., echo=FALSE) and removes any preceding text from console output (comment=""; the default is comment="##").

```
  x     y
1 1 -0.21
2 2  2.28
3 3  4.08
4 4  1.65
5 5  5.43
6 6  6.51
```

  x     y
1 1 -0.21
2 2  2.28
3 3  4.08
4 4  1.65
5 5  5.43
6 6  6.51

Control figure size

The following is an example of a smaller figure using fig.width and fig.height options.

```r
plot(x)
```

<img src="resize_files/figure-html/unnamed-chunk-7-1.png" width="288" />

plot(x)

Cache analysis

Caching analyses is straightforward. Here’s example code. On the first run on my computer, this took about 10 seconds. On subsequent runs, this code was not run.

If you want to rerun cached code chunks, just delete the contents of the cache folder

```r
for (i in 1:5000) {
    lm((i+1)~i)
}
```

Basic markdown functionality

For those not familiar with standard Markdown, the following may be useful. See the source code for how to produce such points. However, RStudio does include a Markdown quick reference button that adequatly covers this material.

Dot Points

Simple dot points:

• Point 1
• Point 2
• Point 3

and numeric dot points:

1. Number 1
2. Number 2
3. Number 3

and nested dot points:

• A
  • A.1
  • A.2
• B
  • B.1
  • B.2

Equations

Equations are included by using LaTeX notation and including them either between single dollar signs (inline equations) or double dollar signs (displayed equations). If you hang around the Q&A site CrossValidated you’ll be familiar with this idea.

There are inline equations such as \(y_i = \alpha + \beta x_i + e_i\).

And displayed formulas:

\[\frac{1}{1+\exp(-x)}\]

knitr provides self-contained HTML code that calls a Mathjax script to display formulas. However, in order to include the script in my blog posts I took the script and incorporated it into my blogger template. If you are viewing this post through syndication or an RSS reader, this may not work. You may need to view this post on my website.

Tables

Tables can be included using the following notation

A	B	C
1	Male	Blue
2	Female	Pink

Hyperlinks

• If you like this post, you may wish to subscribe to my RSS feed.

Images

Here’s an example image:

image from redmond barry building unimelb

Code

Here is Markdown R code chunk displayed as code:

```r
x <- 1:10
x
```

```
##  [1]  1  2  3  4  5  6  7  8  9 10
```

And then there’s inline code such as x <- 1:10.

Quote

Let’s quote some stuff:

To be, or not to be, that is the question: Whether ’tis nobler in the mind to suffer The slings and arrows of outrageous fortune,

Conclusion

• R Markdown is awesome.
  • The ratio of markup to content is excellent.
  • For exploratory analyses, blog posts, and the like R Markdown will be a powerful productivity booster.
  • For journal articles, LaTeX will presumably still be required.
• The RStudio team have made the whole process very user friendly.
  • RStudio provides useful shortcut keys for compiling to HTML, and running code chunks. These shortcut keys are presented in a clear way.
  • The incorporated extensions to Markdown, particularly formula and table support, are particularly useful.
  • Jump-to-chunk feature facilitates navigation. It helps if your code chunks have informative names.
  • Code completion on R code chunk options is really helpful. See also chunk options documentation on the knitr website.
• Other recent posts on R markdown include those by :
  • Christopher Gandrud
  • Markcus Gesmann
  • Rstudio on R Markdown
  • Yihui Xie: I really want to thank him for developing knitr. He has also posted this example of R Markdown.

Questions

The following are a few questions I encountered along the way that might interest others. ### Annoying <br/>’s Question: I asked on the Rstudio discussion site: Why does Markdown to HTML insert <br/> on new lines?

Answer: I just do a find and delete on this text for now.

Temporarily disable caching

Question: I asked on StackOverflow about How to set cache=FALSE for a knitr markdown document and override code chunk settings?

Answer: Delete the cache folder. But there are other possible workflows.

Equivalent of Sexpr

Question: I asked on Stack Overvlow about whether there an R Markdown equivalent to Sexpr in Sweave?.

Answer: Include the code between brackets of “backick r space” and “backtick”. E.g., in the source code I have calculated 2 + 2 = 4 .