The knitr package (Xie 2015) 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] 1.23974 0.72420 -0.30753 -1.96454 0.37811 0.30663 0.40731
## [8] -0.22153 0.73488 -1.04309 -0.86195 -0.08623 -1.43307 -0.36663
## [15] 1.93378 1.23536 -0.27844 0.70806 -0.43604 0.37135
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/.
———. 2015. Knitr: A General-Purpose Package for Dynamic Report Generation in R. http://yihui.name/knitr/.
e.g. the main manual and the graphics manual↩