August 25th, 2022
https://coko.foundation/articles/single-source-publishing.html
For R, Quarto still uses Knitr under the hood. Consequently, the vast majority of existing Rmd files can be rendered unmodified.
Note that the standard syntax for chunk options has changed (old syntax still works):
```{r}
#| echo: false
#| fig-cap: "Cars"
plot(cars)
```
The Jupyter engine supports the use of Python, Julia, and any other language that has a Jupyter kernel.
Jupyter supports two input file formats:
.ipynb).qmd)Hello Jupyter: https://quarto.org/#hello-quarto
You can also render Jupyter notebooks (.ipynb files) directly. Note that in this case no execution occurs by default:
Side-by-side preview for JupyterLab, VS Code, Emacs, etc.:
$ quarto preview notebook.ipynb
```{r}
#| code-fold: true
library(ggplot2)
dat <- data.frame(cond = rep(c("A", "B"), each=10),
xvar = 1:20 + rnorm(20,sd=3),
yvar = 1:20 + rnorm(20,sd=3))
ggplot(dat, aes(x=xvar, y=yvar)) +
geom_point(shape=1) +
geom_smooth()
```Cross reference figures, tables, equations, sections, theorems, etc.
Plain markdown: https://quarto.org/docs/authoring/cross-references.html#subfigures
Knitr/Jupyter: https://quarto.org/docs/authoring/cross-references.html#computations
layout-ncol or layout-nrow) available for simple cases.::: {layout="[[40,-20,40], [100]]"}
:::
Work in HTML, PDF, MS Word, and ePub output
Quarto has native support for embedding Mermaid and Graphviz diagrams.
```{mermaid}
flowchart LR
A[Hard edge] --> B(Round edge)
B --> C{Decision}
C --> D[Result one]
C --> E[Result two]
```
Current release of RStudio IDE has Quarto tooling on-par w/ R Markdown tooling
