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] 1.022446 0.002795 0.250468 -0.646721 -0.051520 -0.169429 0.372027
## [8] 1.610855 1.351772 -0.332973 -0.898081 -3.134009 0.097916 -0.574349
## [15] 1.279151 -0.034243 -0.206728 0.542357 -1.352497 2.594748
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')