Essential R to learn for statistics and data science in 2024

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Very Normal

Very Normal

Күн бұрын

An (very) opinionated list of concepts to learn if you want to learn R
Stay updated with the channel and some stuff I make!
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Пікірлер: 26
@Unaimend
@Unaimend 8 ай бұрын
Nice introduction. I remember starting with R and hating it compared to Python. But it is quite prevalent in Bioinformatics. Luckily after a while, the Stockholm Syndrom kicked in and I started to like it 🤣
@tomaz1724
@tomaz1724 8 ай бұрын
Python video would be great! Thanks! 😊
@leocarlsson3753
@leocarlsson3753 8 ай бұрын
I have a masters in Data Science, and have been using R since 2018. However, today I learned I could NAME list objects :D
@noproof7376
@noproof7376 8 ай бұрын
Python content please 0:41. Good vid
@streampunksheep
@streampunksheep 8 ай бұрын
Entertaining, educational, and clear. I like the video can help data scientists at entry levels.
@guntervanderwalt7649
@guntervanderwalt7649 8 ай бұрын
Awesome video. As a very beginner, I found your explanation very clear, enough to find my feet in the process. One question: How does the tidyverse cluster combine with other larger packages? I am specifically interested in a sequencing data package such as DSeq2, haven't really seen others use any of these packages with such very niche pipelines.
@trevorschrotz
@trevorschrotz 8 ай бұрын
Very good organization and explanation in this video.
@MKhan-zo8xo
@MKhan-zo8xo 8 ай бұрын
great video!! personally I would greatly benefit from learning more about the purrr package and list-columns, especially in the use case you had mentioned regarding simulations. I would love a video on that!
@very-normal
@very-normal 8 ай бұрын
Thanks for watching! Luckily that video’s been planned out for the month, keep your eyes peeled!
@MKhan-zo8xo
@MKhan-zo8xo 8 ай бұрын
awesome!! Happy New Year!! @@very-normal
@s.k_525
@s.k_525 8 ай бұрын
Love your videos❤❤❤ And thank you for brilliant explanations ❤🎉😊
@tamirmashbat3147
@tamirmashbat3147 8 ай бұрын
Beautiful work
@r.s.e.9846
@r.s.e.9846 7 ай бұрын
🔥🔥, python video please
@joshstat8114
@joshstat8114 7 ай бұрын
I still prefer you to use R for more statistics stuff in your channel because they are more rigorous to mathematics and statistics.
@budiardjo6610
@budiardjo6610 2 ай бұрын
i am using R if i am feels like spss had magical result.
@adrianfletcher8963
@adrianfletcher8963 8 ай бұрын
Edit: haha maybe that was the point At 2:38, the comment after array() is pretty similar contrast so it's hard to read.
@lingerlights
@lingerlights 8 ай бұрын
Nice video
@andreccf1873
@andreccf1873 8 ай бұрын
this was pretty great :)
@umbraemilitos
@umbraemilitos 7 ай бұрын
Please make Python videos too.
@walterreuther1779
@walterreuther1779 7 ай бұрын
5:16 You don't recommend adding an else to an if statement because it's easy to make mistakes? That bugs me. Am I alone on this? 😅
@very-normal
@very-normal 7 ай бұрын
lol why does it bug you?
@walterreuther1779
@walterreuther1779 7 ай бұрын
@very-normal Let me try to answer this question, but first let me start with a disclaimer: You know R much better than I do (so thanks for the excellent overview!), so all with a grain of salt here: 1. Readability matters. When your interpreter interprets your if statement, it reads something like this: IF (condition is met) DO {something}, ELSE DO {nothing} And for convenience reasons, this ELSE DO {nothing} is left away. But if you want the program to do something, adding an else statement is just making explicit, what you implicitly wrote anyway. 2. I mistrust code without defaults. If adding an extra else statement causes problems, maybe there is something wrong with my code in the first place. Maybe I haven't thought about what values my condition can evaluate to. It doesn't hurt to throw an error when the condition evaluates to some non-sense that shouldn't happen. (I like Rust mentality: write robust programs, where everything is accounted for.) Too often R code is written on the fly and people spend hours debugging some weird results. Maybe the R interpreter and paradigm are to blame for some of this, but I believe writing robust code is a virtue in itself, even if you are "just doing statistics". Anyways, thanks for the great video ... as always actually. Keep up the great work! 👍
@very-normal
@very-normal 7 ай бұрын
Yeah, I see where you’re coming from! I would be lying if I said that I haven’t written errant R code that’s burned me in the long run. It’s an oversight in graduate statistics programs that good programming conventions are not taught to us. I’ve tried learning by myself, but I definitely know I have a lot to learn here. I appreciate your thoughts on it. I know that I’ve adjusted the way I code to work with not using defaults, but I could reconsider this. Thanks!
@walterreuther1779
@walterreuther1779 7 ай бұрын
​@@very-normalThat's cool, thanks for the considerate reply! Just for the record I want to recommend two books on the matter of good programming style: 1. The Pragmatic Programmer by Andy Hunt and Dave Thomas, which is THE seminal book for best practices in programming, and 2. Advanced R by Hadley Wickham (available for free online), which tries to provide the same, but specifically for the R programming language. I must admit I have only read some of the second recommendation, but it seems pretty good. Oh and then there is Joel Grus who is a serious data scientist with what I find impeccable coding style ... but he's a Python guy (sorry) :P
@very-normal
@very-normal 7 ай бұрын
Ooh, very nice, I’ve seen Advanced R in passing, but never got a look at it. I’ll take a look at all your suggestions! Thanks!
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