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.name/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] -2.12475 -0.01007 -1.53434 0.06557 -0.97349 0.17910 -1.33078
## [8] 0.03669 0.94844 0.51564 -0.98933 -0.08986 1.29304 0.51207
## [15] 1.01773 0.18747 -0.04057 -0.71786 0.40670 0.29387
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. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. http://yihui.name/knitr/.
———. 2016. Knitr: A General-Purpose Package for Dynamic Report Generation in R. http://yihui.name/knitr/.
e.g. the main manual and the graphics manual↩