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')