Notebooks as Posts: An R Demo

Quarto doesn’t care which language produced the numbers — the same .qmd → Hugo pipeline used in the Python demo works for R too, executed through knitr instead of Jupyter.

A simple random walk, simulated and summarized:

set.seed(42)
steps <- sample(c(-1, 1), 500, replace = TRUE)
walk <- cumsum(steps)
summary(walk)

   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.
  -6.00   11.00   13.00   13.18   16.00   28.00

plot(walk, type = "l", col = "#a8071a", lwd = 1.5,
     axes = FALSE, xlab = "", ylab = "",
     panel.first = abline(h = 0, col = "#888", lty = 2))

Data frames render as ordinary tables, the same way they would in any other Quarto document:

knitr::kable(head(data.frame(step = seq_along(walk), position = walk), 5))

The point, same as the Python post: this table and plot are computed by R at build time, not maintained by hand.