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 ), 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] -1.6878 -0.2289  0.7692 -0.6169  0.3428  0.9714 -0.1366  0.5313  0.3028
#> [10] -0.6618 -1.0495 -2.4215 -1.5640 -0.5799  0.7889  1.1322  0.7318 -1.3397
#> [19] -0.9594  0.6100

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 (2025). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.50.4, 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.