The knitr package 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/ (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 “Dynamic Docuemnts with R and knitr” for this package, too.
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] 1.23126 -0.64539 2.05970 -1.65411 -1.41258 0.26679 -1.27438 1.79358
## [9] 0.86266 -0.46147 -0.26535 0.62393 0.01589 -0.45401 0.80607 -1.15355
## [17] -1.53310 0.45087 -0.83925 0.27367
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')
References
Xie Y (2024). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.46, https://yihui.org/knitr/.
Xie Y (2015). Dynamic Documents with R and knitr, 2nd edition. Chapman and Hall/CRC, Boca Raton, Florida. ISBN 978-1498716963, https://yihui.org/knitr/.
Xie Y (2014). “knitr: A Comprehensive Tool for Reproducible Research in R.” In Stodden V, Leisch F, Peng RD (eds.), Implementing Reproducible Computational Research. Chapman and Hall/CRC. ISBN 978-1466561595.