Відео

You held my attention for one full hour. Thank you!

Thank you! That was very well explained!

Hello @AverageJoeStats, is there a future for statistical analysts using R/Python, given that AI tools can manipulate lists, dataframes very easily and also carry out complex statistical analysis beyond linear regression?

Thank you so much. I am refreshing my R skills after grad school and your stuff is a great foundational refresher! Much appreciated.

I may be alone on this but I find this stuff extremely boring.

Interesting but all this sprintf stuff seems obsolete given that we have the glue package.

I believe setwd is frowned upon by the R gods. They suggest using here from the here package instead.

Why not use testthat to test the function?

I don't see how [ ] or [ ] would do partial matching. It is looking for an index integer. Besides that partial match such as A[["ma"]] might confuse someone reading the code.

Subsetting is one of the most boring things about learning coding in any language. However, it is like fish oil you have to take it. The question is how can one teach it without leaving a bad taste in a learner's mouth?

Curiosity killed the forcats

If you output the results for the list and c() to an html it will no longer show the equation but rather something like <srcref: file "" chars 1:37 to 1:51>. What is needed to fix that? Some sort of yml setting? (I am using Quarto).

Regarding the assignment operator makes more sense to me from a mathematical standpoint when we have x <- x + y vs x = x + y. The latter implies that the two sides are equal and they are not.

So atomic is taken from the definition of atom from the Greeks where the word means "indivisible"? It is not clear to me what it means in R though. What exactly is indivisible? The element tag or position? In the 1:10 plenty of the numbers are divisible.

Very nice. Any reason why you are avoiding pipes?

Could you please make videos on Shiny and Ggplot🥺

I don't know why such few people are watching / commenting on these series of videos. This is spectacular. I've been programming in R, Python and C for a while new, but it's useful to keep studying it in order not to do a few things the least efficient way. Learning a great deal. Congrats and keep up the great work.

I really like this video. Thanks for sharing. It does help me a lot on error handling.

@8:33 If its a number or any string with spaces then it must be on 'single' or "double quotes" OR `back ticks`

This was clearly explained. I watched the Ads as a form of gratitude. Thanks.

great, I am following your videos on advanced R.

Great Video and great series for what I see, it would be nice if you put index the parts of the video with what you're explaining.

already subscribed

new sub

I love these videos. I wish I can like and subscribe a million times!

Thank you Joe for this amazing lecture, I needed it!

wow! thank you so much, this is exaclty what I was looking for!!

Just want to say I've really been enjoying your videos. Very happy to have found them. Very educational. Thanks a lot, good sir

I was looking for a course following wickhams book thanks

Hey thanks joe

Love these videos

*PromoSM*

Great content. Easy to follow teaching style. After trying a lot of online tutorials as a non-programmer, no formal training in stats r programming, this tutorial series is with-in my reach. Thank you.

Great tips on performance tuning, methodology will translate to other programming languages as well.

Hello. Do you have any plans to make a course or videos about ggplot in the future? I've started to learn R. I know it's is quite a popular package. Your videos are very good and detailed.

Very good explanation

you should DOUBLE the size of your fonts

Fantastic playlist! Thanks for sharing.