Not An Introduction to knitr

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](https://yihui.org/knitr/demo/graphics/) ), 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.

Below are code chunk examples:

options(digits = 4)
rnorm(20)

#>  [1]  1.51061  1.45719 -0.57102  0.60845  1.38012 -1.16925 -0.80153  1.13658
#>  [9]  1.30575  1.40255  0.85714 -0.10681 -0.10506  0.69219 -0.07893 -0.35006
#> [17]  1.38968  0.77017  0.68852  0.77152

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

	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-17.579	6.758	-2.601	0.012

|speed| 3.932| 0.416| 9.464| 0.000|

The fitted regression equation is \(Y=-17.6+3.93x\).

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

References

Xie Y (2026). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.51.7, 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.