R package reviews | report | Report Statistical Results of Tests, Models, Data! 

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

Thank you! More to come! ;)

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

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!

Thanks so much for such a positive feedback! :) I'll try my best to post more often! The quality - quantity trade off is important though :) Hope other videos also deliver more than they promise. Please, always feel free to give a feedback, especially when you think I can improve something on the video production site.

Thank you very much! I hope so too!

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

Awesome! Thank you, Robert! Welcome aboard!

Thanks 🙏 glad you enjoyed it

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

@@yuzaR-Data-Science Tks.

that's a good question. You can check out {vegan} package and "adonis2" function. SES is the effect size then: library(vegan) data(dune, dune.env) mod

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

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

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.

Thanks Jonathan! Glad, it was useful!

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

true. I use gtsummary package vor ORs

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

@@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.

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

👍

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

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

thanks for watching, mate! cheers!

Glad you enjoyed it!

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

@@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.

@@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!

Danke, Louis!