# Not An Introduction to knitr

The knitr package [@R-knitr] 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.name/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 [@xie2013] 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) fit=lm(dist~speed, data=cars) b=coef(fit) {r} knitr::kable(summary(fit)$coefficients, caption='Regression coefficients.') The fitted regression equation is$Y=r b[1]+r b[2]x\$.

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