Your videos are gold mines for R programmers. You deserve so much recognition. I suggest you to make RU-vid shorts as well, talking about 1 or 2 tips using R. You can reach a wider audience then.
Thank you Andrew. Especially the rmarkdown::paged_table() function. So useful! BUT How does one get a caption on the table using paged_table() and is it possible to make a reference to the table, like we know from DT::datatable?
Nice video & I like the theme that you use, which one is it ? And one thing that I find better in python than R is jupyter notebook/lab is much lighter with lot of functionalities that makes it possible to work with old system configuration as well. Where as it remains a challenge for rstudio & this is what I faced several time earlier with ram going low & rmarkdown knit taking a hell lot of time.
I currently use Dracula with rainbow parenthesis. I agree that jupyter notebook is lighter but I think that's also R's strength is that it's heavily integrated with R Studio. Knitting takes a long time for certain tasks but there are some ways to prepare for it and make it faster such as caching code chunks. RAM management is definitely still an issue but R Studio is aware of it and has just added a RAM usage section in the environment pane so I'm guessing they will continue on improving it. Thanks for watching!
