# Not An Introduction to knitr

#### 2021-09-29

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.org/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] -0.25576  0.26747 -0.23655  0.46139 -0.96636  1.07071  0.36201 -0.12953
##  [9]  0.06371 -0.69175 -2.03479  1.03667 -1.56607  0.14930  0.63170  0.50667
## [17]  1.59922  0.74244  0.19559 -0.43211
fit = lm(dist ~ speed, data = cars)
b = coef(fit)
Regression coefficients.
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, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.
———. 2016. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.

1. e.g. the main manual and the graphics manual↩︎