The knitr package (Xie 2014) 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 http://yihui.name/knitr¹, and remember to read the help pages of functions in this package. There is a book (Xie 2013) 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:

rnorm(5)

## [1] 0.5775 0.4042 0.6726 0.2836 1.1780

df = data.frame(y = rnorm(100), x = 1:100)
summary(lm(y ~ x, data = df))

## 
## Call:
## lm(formula = y ~ x, data = df)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -2.553 -0.731  0.115  0.764  2.390 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)
## (Intercept)  0.18254    0.22023    0.83     0.41
## x           -0.00393    0.00379   -1.04     0.30
## 
## Residual standard error: 1.09 on 98 degrees of freedom
## Multiple R-squared:  0.0109, Adjusted R-squared:  0.000808 
## F-statistic: 1.08 on 1 and 98 DF,  p-value: 0.301