You can find materials supporting this vid (and others) at github.com/equitable-equations/youtube.
@albertocabrera4297 Жыл бұрын
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).
@EquitableEquations Жыл бұрын
Thanks man! I still love those books though.
@romanvasiura6705 Жыл бұрын
I'll figure out with it a little bit later... Thank you.
@pipertripp Жыл бұрын
This was an excellent vid. It combined many different tools in a natural way. I’ll definitely be coding this one up tonight!
@EquitableEquations Жыл бұрын
I had so much fun making this. I'm learning all sorts of new things.
@marcoesteves4367 Жыл бұрын
Awesome tutorial. Thumbs UP.
@EquitableEquations Жыл бұрын
Thanks!
@forrestoakley4882 Жыл бұрын
Cool video!! Thank you. Very useful.
@tewfik8616 Жыл бұрын
Thanks for the boost! 👌
@onkar7651 Жыл бұрын
excellent stuff💌
@srisai1985 Жыл бұрын
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’ ;)
@EquitableEquations Жыл бұрын
Totally! It was already a loooong vid (at least for me).
@pipertripp Жыл бұрын
Sounds like a good idea for a follow up vid!
@srisai1985 Жыл бұрын
this topic would be a killer sequel. Looking forward to it!
@intesar_taieb Жыл бұрын
Awesome vid
@EquitableEquations Жыл бұрын
Thanks!
@davidgustavsson4347 Жыл бұрын
Thanks
@alexjparton Жыл бұрын
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!
@EquitableEquations Жыл бұрын
Hi! For questions like this, I recommend the R4DS learning community, which you can find by googling. Good luck!
@jerryakanwari338210 ай бұрын
Hello, is it possible to model bill_length_mm against sex?