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quarto-dev / quarto-cli

Open-source scientific and technical publishing system built on Pandoc.
https://quarto.org
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Feature Request: Support for R Notebook equivalent #650

Open ailich opened 2 years ago

ailich commented 2 years ago

Currently it seems that to render a Quarto document all of the code needs to be rerun. Are there plans to add something similar to R Notebooks, which just use the last output from the chunks (In Rstudio this is accomplished with the "Preview" button when using an R notebook)? This can be nice for longer analyses or more interactive exercises where you may want to edit a plot or a later section but don't need to rerun all the earlier parts.

jjallaire commented 2 years ago

I think the best way to accomplish this for now is to use Knitr caching (https://quarto.org/docs/computations/caching.html#knitr-cache)

ailich commented 2 years ago

Thanks @jjallaire , I do still think there's a place for the "notebook" style though if there's time to add it in the future as it can be nice to not have to go around and flip all the chunk options (e.g. you can work interactively in the notebook to get things running and looking the way you want and then when you're done click knit/render to see if everything runs clean from start to finish). Also some packages don't always play nice with caching (e.g. raster and terra packages b/c they link to C++ objects/external files).

jjallaire commented 2 years ago

Yes, we will definitely be considering the pure notebook use case hopefully make some progress there soon.

marianschmidt commented 2 years ago

For me caching fails when trying to load large files from disk inside the .qmd file.

GitHunter0 commented 1 year ago

Yes, we will definitely be considering the pure notebook use case hopefully make some progress there soon.

.qmd should be the future R Notebook format, right?

isaactpetersen commented 2 weeks ago

Just wanted to state my strong support for a Notebook version of Quarto. This would allow working interactively on the Quarto script, which is important for data analysis because it often requires iterating. I almost exclusively use RMarkdown Notebooks (rather than Quarto) for this reason. Adding an interactive notebook feature to Quarto would address an important gap. I hope this will be supported.