Please continue with more videos of this type, it is very useful for the entire community. Excellent video, thank you very much for the continuous contribution.
Concise and highly informative. I've been trying to use the ' %>% map' functional syntax to produce many ggraphs at once, not successful yet: such is the process of learning.
I love your videos and screencasts! They are very educational and still very high-level. Could you please make a video on performing meta-analysis in R using for example the metafor or other packages? Especially covering the choices one has to make concerning types of meta-analysis: e.g. fixed-effects, random-effects or bayesian meta-analysis of different types of response variables, modulators and outcomes. It could also be cool if you covered the considerations of multivariate and multilevel meta-analysis as well as composite outcome meta-analysis, such as the concept of "borrowing of strength" (BoS) in meta-analysis when dealing with multiple outcomes or studies with small sample sizes.
Thanks for such a lovely feedback! The meta-analysis videos are definetely on my list! And they will be done. But the list still has a few topics before it, like all kind of models. Thus, please, don't expect them too soon, but stay tuned as they are important for my work and will be produced in the future!
Please continue with more videos of this type, it is very useful for the entire community. Excellent video, thank you very much for the continuous contribution.
Waw, thanks, Alin! That means the world to me! And, of course motivate to create more useful content! Thank you for watching!
Concise and highly informative. I've been trying to use the ' %>% map' functional syntax to produce many ggraphs at once, not successful yet: such is the process of learning.
Even when I'm tired, I can't enough of your content. GOAT Status in deed. Thank you sir.
That means a lot to me!!! 🙏 I truly appreciate that, Jonathan!
I love these videos! Best R RUclips channel out there ♥️
Wow 🤩 thanks a ton mate! That means a lot for me!
I agree to your statement !
Another killer video using the power of purrr. Thank you!!!
you are very welcome! thanks for your continuous support!
I love your videos and screencasts! They are very educational and still very high-level.
Could you please make a video on performing meta-analysis in R using for example the metafor or other packages? Especially covering the choices one has to make concerning types of meta-analysis: e.g. fixed-effects, random-effects or bayesian meta-analysis of different types of response variables, modulators and outcomes. It could also be cool if you covered the considerations of multivariate and multilevel meta-analysis as well as composite outcome meta-analysis, such as the concept of "borrowing of strength" (BoS) in meta-analysis when dealing with multiple outcomes or studies with small sample sizes.
Thanks for such a lovely feedback! The meta-analysis videos are definetely on my list! And they will be done. But the list still has a few topics before it, like all kind of models. Thus, please, don't expect them too soon, but stay tuned as they are important for my work and will be produced in the future!
Excellent work sir
Many thanks for bringing this significant concept
You are most welcome! Thanks for the feedback, Abdul!
This is a great video! Thank you for explaining it so clearly
You are very welcome! Thanks for watching!
@@yuzaR-Data-Science Is it possible to run nested linear models when the data is stored in a data frame? 🤔
Excellent 👍👍👍👍
Thank you! You might like the bootstrapping video too. It's my recent. Cheers!
Great video, again!
Thanks again! I am very grad it's useful! :)
Fantástic. Thanks so much
Glad you enjoyed it! Thanks for watching!
Glad you enjoyed it! Thanks for watching!
great show of using many different packages working together. it would be a great addition if the plots are all consistent (themes) as well.
oh yeah, I probably forgot to set_theme( ... ) to one theme. thanks for the feedback and for watching!
tks a lot! 😃
Welcome mate!
Thanks a lot 🥰🥰,
You are very welcome 🙏
além de agrupar os modelos por "health_ins" combina também com "jobclass"? Grato!
feliz que você gostou! obrigado por assistir!