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] -1.48554  0.28087  0.10707  0.73374  0.13983 -0.39486  0.68755
##  [8] -1.46571  1.33328 -1.57689  0.69794 -0.58440  0.57197  0.21605
## [15] -0.77048 -0.96507 -2.45588  0.70984 -0.04682  0.24493
fit = lm(dist ~ speed, data = cars)
b = coef(fit)
Estimate Std. Error t value Pr(>|t|)
(Intercept) -17.5791 6.7584 -2.6011 0.0123
speed 3.9324 0.4155 9.4640 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