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) fit=lm(dist~speed, data=cars) b=coef(fit)
knitr::kable(summary(fit)$coefficients)
The fitted regression equation is $Y=r b[1]
+r b[2]
x$.
par(mar=c(4, 4, 1, .1)) plot(cars, pch = 20) abline(fit, col = 'red')
print(citation('knitr'), style = 'html')
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