The knitr package (Xie 2016) 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 https://yihui.org/knitr/1, and remember to read the help pages of functions in this package. There is a book (Xie 2015) 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] -0.25115 -1.40349 -0.88135 0.75414 -1.53918 -0.63499 0.20690 -0.70139
## [9] 2.60077 1.06142 0.06727 -0.32251 1.21175 -0.27918 -0.76394 -2.41183
## [17] 0.05452 0.01655 0.27846 -0.15727
= lm(dist ~ speed, data = cars)
fit = coef(fit) b
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')
e.g. the main manual and the graphics manual↩︎