Great videos and blog posts. Please keep them coming.

@yuzaR-Data-Science

2 жыл бұрын

Thank you! More to come! ;)

Can’t expain how useful is this!

@yuzaR-Data-Science

Жыл бұрын

I really appreciate your feedback! Useful - is my key parameter ;)

Definitely looks like a time saver! Thanks!

@yuzaR-Data-Science

Жыл бұрын

thanks for watching, mate! cheers!

Oh my god, you're genius. This channel is a true mine of gold. Please, keep up the great work.

@yuzaR-Data-Science

Жыл бұрын

thanks for your positive feedback and thanks for watching! I'll do my best to produce more useful content

I love the line "If you think it's no big deal, try to arrive at this once without a single mistake". Time 0:49

@yuzaR-Data-Science

11 ай бұрын

😂 yeah, brackets and special characters are always killing me 😁🙈

This package is amazing! Thanks for introducing me to it. You got some great content on your channel! Subscribed ;)

@yuzaR-Data-Science

2 жыл бұрын

Awesome! Thank you, Robert! Welcome aboard!

Thank you for, yet another, very useful tutorial. I hope your channel becomes more popular.

@yuzaR-Data-Science

2 жыл бұрын

Thank you very much! I hope so too!

Always on point. Thanks so much Sir.

@yuzaR-Data-Science

2 жыл бұрын

Thanks Jonathan! Glad, it was useful!

@fishfish20

2 жыл бұрын

@@yuzaR-Data-Science I'm always on guard for new videos. 💪

Great video! The one thing that would be a neat added feature would be to report GLS, GAM and ML (such as random forest or mvtboost) function summaries.

@yuzaR-Data-Science

Жыл бұрын

Oh man, I totally agree! I was very happy about the features the package already has, but I also requested some new. So, if you, and more people would ask for the same feature on github, like "interpret random forest model result" or similar, the authors might be willing to implement it. I assume that, because the authors are young and smart and develop their packages steadily. Thanks for the feedback and thanks for watching!

Incredible contents, underrated channel!! Hey GOAT, can you make a video explaining how to do multinomial logistic regression and linear discriminant analysis please? Thanks!! Have a nice day.

@yuzaR-Data-Science

2 жыл бұрын

Thank for such a nice feedback! Great suggestion! They were on my list anyway. Might take some time though, have a day job. Cheers

OMG - thanks so much for this - this will be a life saver when I am struggling to interpret things

@yuzaR-Data-Science

10 ай бұрын

Thanks 🙏 for nice feedback! You might also find emmeans video useful.

Great work. I expect each lesson from you.

@yuzaR-Data-Science

2 жыл бұрын

Thanks a lot, Yao! I appreciate your feedback and your long time you are already a subscriber of my channel! That motivates me!

@m.irfanmalik5649

2 жыл бұрын

@@yuzaR-Data-Science your videos are excellent, with a lot of information in short time. I am watching since last week. Have you ever worked on meta-analysis packages ? If yes please plan some videos.

@yuzaR-Data-Science

2 жыл бұрын

Hi, Irfan, Thanks for positive feedback! Great suggestion, thanks! It's definitely on my list.

Thanks , for the video 🥰🥰

@yuzaR-Data-Science

Жыл бұрын

Glad you enjoyed it!

The best video I have watched so far. I never expected this.

@yuzaR-Data-Science

Жыл бұрын

Wow! Thanks mate! I am glad you liked it. Hope the other videos would be useful too. Cheers and thanks for watching!

@festusboakye3698

Жыл бұрын

@@yuzaR-Data-Science Please could you help us on mixed effect logit model because I have read your articles on Mixed effects Model 1, 2, 3, and 4 for Random intercept, crossed vs nested Random effects, Random Slopes, and Logistics regression. I believe the video does better.

@yuzaR-Data-Science

Жыл бұрын

@@festusboakye3698 Mixed Effects Models are on my list! However, it might take some time, since the list is long. But it'll be coming. Thanks for the suggestion!

This is soooo cooool

@yuzaR-Data-Science

Жыл бұрын

Thanks 🙏 glad you enjoyed it

Bist ne Maschine, mein Lieber!

@yuzaR-Data-Science

2 жыл бұрын

Danke, Louis!

Very practical video and thank you for recommendation. For beginners, is there a guide document to use the package?

@yuzaR-Data-Science

Жыл бұрын

Thanks 🙏 yes, there is a document on cran for every package, which describes every function of the function. However, it’s a bit dry.

@chengyang4187

Жыл бұрын

@@yuzaR-Data-Science Tks.

Can it be used in another statistical methods like time series models?

@yuzaR-Data-Science

Жыл бұрын

I never tried. But if you try and it does not, you can create a new issue at the github of the package, so that the developers know it's important. I, for example, requested nnet::multinom() reposting.

the problem is that logistic regression analysis result needed to present OR , but the report package is not supported, that is the imperfection about the package

@yuzaR-Data-Science

Жыл бұрын

hey, sorry for late replay. it actually does support ORs. try this: m

Does this package report the results of (mixed repeated measures anova) in APA format?

@yuzaR-Data-Science

10 ай бұрын

you can totally report mixed effects models, but I am not sure for APA format

But it does not report Odds ratio. Very sad

@yuzaR-Data-Science

10 ай бұрын

true. I use gtsummary package vor ORs

𝓅𝓇o𝓂o𝓈𝓂 💃

@yuzaR-Data-Science

Жыл бұрын

👍