# Not An Introduction to knitr

#### Yihui Xie

#### 2020-06-22

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] -0.19169  0.67134  0.22346  0.71502 -0.11204  0.75763  1.46664 -0.50364
    ##  [9] -0.09981 -0.25703  0.49641 -0.72781 -1.75855 -1.34796 -0.06976  0.62396
    ## [17]  0.13471  1.02056 -2.16856 -1.73060

    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')

A scatterplot with a regression line.

## References

Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. http://yihui.org/knitr/.

———. 2016. Knitr: A General-Purpose Package for Dynamic Report Generation in R. http://yihui.org/knitr/.

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