The **knitr** package (Xie 2016) 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/^{1}, and remember to read the help pages of functions in this package. There is a book (Xie 2015) for this package, but it may not be useful to those who prefer digging out information on the web.

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] -1.3803 0.8508 -0.6054 -1.0787 -0.6009 2.2837 0.8489 -0.4736 -1.3128
## [10] 1.1414 0.6302 1.1647 0.3075 -1.4453 1.0195 -0.7896 -0.8636 0.2580
## [19] 1.2303 0.1926
```

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

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, Yihui. 2015. *Dynamic Documents with R and Knitr*. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.

———. 2016. *Knitr: A General-Purpose Package for Dynamic Report Generation in r*. https://yihui.org/knitr/.

e.g. the main manual and the graphics manual↩︎