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.

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]  0.04093  0.20556  0.34196  0.11806  0.17723 -0.39635 -1.04151  1.59905
#>  [9] -0.07067 -0.61926  0.40985  2.28650 -0.35900  0.36918  0.32224  0.11207
#> [17]  0.06166  0.55787  1.49690 -0.37031

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 (2024). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.49, 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.