Fantastic video! Would have been awesome-er had you split the data, made predictions and got the results of the predictions too in the nested data frame. But I suppose in true academic style, the ‘proof is left to the user’ ;)
Thanks for this video! I'm trying to make a function with the survey package glm (svyglm) and since I need to add my survey weight argument (which is a list of 9 things) into the svyglm() formula, I'm having trouble. Any ideas? I'd also love to make a function for chi square tests with the survey package. Thanks!
You can find materials supporting this vid (and others) at github.com/equitable-equations/youtube.
I found your 18 minutes presentation on nesting to surpass in quality two books on this topic(R for Data Science and Tidy for Modeling with R).
Thanks man! I still love those books though.
Awesome tutorial. Thumbs UP.
Thanks!
I'll figure out with it a little bit later...
Thank you.
This was an excellent vid. It combined many different tools in a natural way. I’ll definitely be coding this one up tonight!
I had so much fun making this. I'm learning all sorts of new things.
Cool video!! Thank you. Very useful.
Thanks for the boost! 👌
Fantastic video! Would have been awesome-er had you split the data, made predictions and got the results of the predictions too in the nested data frame. But I suppose in true academic style, the ‘proof is left to the user’ ;)
Totally! It was already a loooong vid (at least for me).
Sounds like a good idea for a follow up vid!
this topic would be a killer sequel. Looking forward to it!
Awesome vid
Thanks!
excellent stuff💌
Thanks
Thanks for this video! I'm trying to make a function with the survey package glm (svyglm) and since I need to add my survey weight argument (which is a list of 9 things) into the svyglm() formula, I'm having trouble. Any ideas? I'd also love to make a function for chi square tests with the survey package. Thanks!
Hi! For questions like this, I recommend the R4DS learning community, which you can find by googling. Good luck!
Hello, is it possible to model bill_length_mm against sex?