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] 0.27363 0.68862 0.75568 -1.78971 -0.43920 -0.49387 -0.91304 -1.52559
## [9] 0.01505 -0.28904 -0.60661 -1.22631 0.83973 -0.65785 2.41212 0.43168
## [17] -1.46862 -0.85767 -1.47821 -0.05610
```

```
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, 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.