Data Science Desktop Survival Guide by Graham Williams
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KnitR Basic Example

20200602 Our first example of running actual R code will generate some random uniform data using stats::runif() and then viewing the utils::head() of the data and calculating the base::mean(). The following code block shows how this will look in the source .Rnw file.

<<example_random_mean>>=
# Always include a short comment to support the code.
x <- runif(1000) * 1000
head(x)
mean(x)
@

Below is what it looks like after it is processed by knitr and then LaTeX (as happens when we click the Compile PDF button in ).

# Always include a short comment to support the code.

x <- runif(1000) * 1000
head(x)

## [1] 183.53871 308.71132  29.63586 833.02629 633.34938 169.63990

mean(x)

## [1] 496.6546

Notice that the syntax is colour highlighted and the output is included as comments introduced in R with the ##. If we were to evaluate these commands ourselves in R the the output would not include the ##.