When compiling ("knitting") a knitr-based vignette, for instance, via `knitr::knit()`, **[knitr]** shows the progress of code chunks processed thus far using a progress bar. We can use **[progressr]** also for this type of progress reporting. To have **knitr** report on progress via **progressr**, set R option `knitr.progress.fun` as: ```r options(knitr.progress.fun = function(total, labels) { p <- progressr::progressor(total, on_exit = FALSE) list( update = function(i) p(sprintf("chunk: %s", labels[i])), done = function() p(type = "finish") ) }) ``` That's it! With the above `knitr.progress.fun` option set, try to knit a document, e.g. ```r progressr::handlers(global = TRUE) infile <- system.file("examples", "knitr-minimal.Rnw", package = "knitr") outfile <- knitr::knit(infile) ``` To customize the progress bar, try for instance: ```r progressr::handlers(global = TRUE) options(crayon.enabled = TRUE) ## force use of colors progressr::handlers("pbcol") ``` This will produce a colored progress bar in the terminal. _Comment:_ If the above knit example completes too quickly for you to see the progress updates, you can add the "slowdown" handler to slow down the knitting process, e.g. ```r progressr::handlers(c("pbcol", "slowdown")) ``` This will cause the overall process to take at least ten seconds (default). To make **knitr** report via **progressr** in all your R session, set the above R option in your ~/.Rprofile startup file, e.g. ```r if (requireNamespace("progressr", quietly = TRUE)) { options(knitr.progress.fun = function(total, labels) { p <- progressr::progressor(total, on_exit = FALSE) list( update = function(i) p(sprintf("chunk: %s", labels[i])), done = function() p(type = "finish") ) }) } ``` [progressr]: https://progressr.futureverse.org [knitr]: https://cran.r-project.org/package=knitr