The **knitr** package is an alternative tool to Sweave based on a different
design with more features. This document is not an introduction, but only serves
as a placeholder to guide you to the real manuals, which are available on the
package website https://yihui.org/knitr/ (e.g. the main
manual and the graphics
manual ), and remember to read the help
pages of functions in this package. There is a book “Dynamic Docuemnts with R
and knitr” for this package, too.

Anyway, here is a code chunk that shows you can compile vignettes with **knitr**
as well using R 3.0.x, which supports non-Sweave vignettes:

```
options(digits = 4)
rnorm(20)
```

```
## [1] 1.01445 -0.68028 -0.02841 -0.42346 -0.48513 -0.92314 0.32214 1.28210
## [9] 0.25567 -0.55559 1.03213 -0.17962 -0.14625 1.20295 0.32169 -1.79686
## [17] 0.66368 0.06515 -0.93602 1.42222
```

```
fit = lm(dist ~ speed, data = cars)
b = coef(fit)
```

Estimate | Std. Error | t value | Pr(>|t|) | |
---|---|---|---|---|

(Intercept) | -17.579 | 6.7584 | -2.601 | 0.0123 |

speed | 3.932 | 0.4155 | 9.464 | 0.0000 |

The fitted regression equation is \(Y=-17.5791+3.9324x\).

```
par(mar=c(4, 4, 1, .1))
plot(cars, pch = 20)
abline(fit, col = 'red')
```

Xie Y (2024).
*knitr: A General-Purpose Package for Dynamic Report Generation in R*.
R package version 1.48.1, https://yihui.org/knitr/.

Xie Y (2015).
*Dynamic Documents with R and knitr*, 2nd edition.
Chapman and Hall/CRC, Boca Raton, Florida.
ISBN 978-1498716963, https://yihui.org/knitr/.

Xie Y (2014).
“knitr: A Comprehensive Tool for Reproducible Research in R.”
In Stodden V, Leisch F, Peng RD (eds.), *Implementing Reproducible Computational Research*.
Chapman and Hall/CRC.
ISBN 978-1466561595.