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] -0.9586  2.0622 -0.3536  0.8459  0.7809  1.8469 -1.4107  0.4587
##  [9]  0.2014 -0.6501 -0.2280 -0.9145 -0.7536 -1.1255  1.3010  0.8613
## [17] -0.8163  0.6591  0.2300  1.0343
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