R demo | Two-Samples t-Test | Student’s & Welch’s | How to conduct, visualise, interpret & more 😉

[@hoangduong2926]

This video actually is a hidden gem. Thank you, Sir. I've learnt a lot today.

[@yuzaR-Data-Science]

So nice of you! Glad it was useful! Hope you like some other of my videos too. Thanks for watching!

[@fishfish20]

The first time I went through the video I was just interested in the R part of it. Today I've learned more from the information shared here in. Thank you for the great video.

[@yuzaR-Data-Science]

Glad it was helpful! :) Feel free to share it with others who might find it useful and thanks for watching!

[@fishfish20]

@@yuzaR-Data-Science Noted

[@lizongzhang]

Very helpful video! It introduced the most practical and convenient function tools! Your voice is also very magnetic.

[@yuzaR-Data-Science]

Glad it was helpful! Hope the others are helpful too. Thanks for feedback and for watching!

[@madhuprasath6193]

Absolutely loved the presentation !

[@yuzaR-Data-Science]

Glad you enjoyed it! Hope you like the rest too.

[@Adelphos0101]

I'm loving your videos, all is clearly explained.

[@yuzaR-Data-Science]

Happy to hear that! Thanks for watching!

[@jonrrobinson]

Love this! thanks for sharing it. Is it possible to report the Bayesian output based on B10, as opposed to B01?

[@yuzaR-Data-Science]

Not that I know of. The package doesn't provide any arguments for it, but you could the author of the package on his github page or on twitter. Cheers

[@jonrrobinson]

@@yuzaR-Data-Sciencemany thanks 👍

[@yuzaR-Data-Science]

@@jonrrobinson welcome! 🙂

[@kostasioannidis5463]

valuable assistance for violin plots...please provide reference for bias factor table at 5:03

[@yuzaR-Data-Science]

The original is from the book: "Jeffreys, Harold. The theory of probability. OuP Oxford, 1998.", but you can also see it used in papers like this one: journals.sagepub.com/doi/10.1177/0049124117729712

[@joaoalexissantibanezarment4766]

Excellent video🙌 It would be great a video of bayesian analysis

[@yuzaR-Data-Science]

Noted! Thanks for your positive feedback! 🙏

[@SUNILYADAV-tv5ze]

A very nice lecture Sir 👍👍.

[@yuzaR-Data-Science]

Thanks and welcome!

[@SUNILYADAV-tv5ze]

Sir please make videos on Bayesian.

[@yuzaR-Data-Science]

I will eventually, but it could take some time. So, please, use other study-resources in the meanwhile and then you'll be able to compare with this channel, when I come up with those. Cheers

[@ramoda13]

Nice and very helpful video.

[@yuzaR-Data-Science]

Glad you like it! Thanks for watching!

[@hassanhijazi4757]

Why in this case the pairwise comparison horizontal bar didn’t appear?

[@yuzaR-Data-Science]

Because those are independent samples. For horizontal bars to appear you need a paired t test, which is a completely different video because it is a completely different test. So, make sure you use a correct test on your data.

[@viniciusdevertentes]

Excelent explanation, but, how can I increase the fontsize of the equations in the plot to save it as a figure?

[@yuzaR-Data-Science]

Thanks! I usually use ggsave() and make the plot smaller with width and height arguments. That makes the font larger automatically. Until now nobody complaned about small font ;)

[@viniciusdevertentes]

@@yuzaR-Data-Science thank you so much, sir! I was saving 4 plots of these, tried using first the ggarrange to combine the ggplot objects than using the jpeg function, and I don't know what happened but even using smaller height and width values the fontsize of the equations kept low, now I'll try with ggsave. Thank you so much 😉

[@yuzaR-Data-Science]

oh yeah, there is one bug in saving you have to watch out: "device" argument: ggsave("name.jpg", plot = last_plot(), width = 19, height = 11, device=jpeg) ggarrange actually works fine too! if not, try out "patchwork" package