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.
Below are code chunk examples:
#> [1] 0.5772 0.5026 0.3165 -0.6891 -1.3597 0.1628 -0.5886 0.1858 -0.5949
#> [10] -0.2860 -0.9806 0.9451 0.3551 2.8035 -0.2286 -0.2210 -0.9632 0.3533
#> [19] 1.0658 0.7819
Estimate | Std. Error | t value | Pr(>|t|) | |
---|---|---|---|---|
(Intercept) | -17.579 | 6.758 | -2.601 | 0.012 |
speed | 3.932 | 0.416 | 9.464 | 0.000 |
The fitted regression equation is Y = −17.6 + 3.93x.
Xie Y (2024). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.49.1, 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.