Not An Introduction to knitr

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:

options(digits = 4)
rnorm(20)
#>  [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
fit = lm(dist ~ speed, data = cars)
b = coef(fit)
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.

par(mar=c(4, 4, 1, .1))
plot(cars, pch = 20)
abline(fit, col = 'red')
A scatterplot with a regression line.
A scatterplot with a regression line.

A scatterplot with a regression line.

References

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.