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 http://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)
##  [1]  0.69544  1.15490  0.35330  1.69402  1.39163  2.48651 -0.78407
##  [8]  0.96361  0.22867  1.47955  0.27505  0.03719  0.52855  1.24657
## [15]  0.21830  0.57206 -0.26247  0.63529  0.57503  1.26903
fit = lm(dist ~ speed, data = cars)
b = coef(fit)
Estimate Std. Error t value Pr(>|t|)
(Intercept) -17.579 6.7584 -2.601 0.0123
speed 3.932 0.4155 9.464 0.0000

The fitted regression equation is \(Y=-17.5791+3.9324x\).

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

A scatterplot with a regression line.

References