The knitr package (Xie 2014) 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/knitr1, and remember to read the help pages of functions in this package. There is a book (Xie 2013) 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] 2.52150 -0.52612 0.07420 -0.22328 -0.53564 1.32658 0.17320
## [8] 0.22285 -1.05372 -0.88599 0.61656 0.21126 0.57117 0.34579
## [15] -0.33448 -0.54193 -0.02309 -0.35319 -1.15098 0.28930
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, 0.1))
plot(cars, pch = 20)
abline(fit, col = "red")
A scatterplot with a regression line.
Xie, Yihui. 2013. Dynamic Documents with R and Knitr. Chapman; Hall/CRC. http://yihui.name/knitr/.
———. 2014. Knitr: A General-Purpose Package for Dynamic Report Generation in R. http://yihui.name/knitr/.
e.g. the main manual and the graphics manual↩