swirl
TidyverseSkeptic
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swirl | TidyverseSkeptic | |
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58 | 13 | |
1,095 | 508 | |
0.7% | - | |
0.0 | 3.3 | |
6 months ago | 4 months ago | |
R | TeX | |
GNU General Public License v3.0 or later | - |
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swirl
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Any suggestions on where I can learn R studio for an affordable cost?
R, the language you mean? I really like swirl, and my students do to.
- A little help for a pretty new bioinformatics student
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How to learn R for free?
I second using swirl for basics. Gets you coding straight in the terminal and is interactive. Great way to get started.
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Where to learn R?
Note, the R website has lots of manuals/introduction documentation and there’s also the swirl package to supplement / replace some of the options above.
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Help Please !
Hey, have you tried swirl? It's an interactive learning experience at a variety of difficulty levels.
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What is the recommended statistic language that a Policy analyst (EC group) should learn ?
Try this https://swirlstats.com/
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Would love your college course PowerPoints on how to use R Studio
My colleagues recommend installing a package called "swirl" and working through their tutorials. https://swirlstats.com/ I don't personally know a whole lot about it, but I have heard good things.
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Would love your college PowerPoints on how to use R Studio
swirl
- Resources for learning R?
- [S] [E] Tool to "play around with" statistical analysis
TidyverseSkeptic
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Why Pandas feels clunky when coming from R
I just don't get these to be honest -- besides the fact that author missed simple things like `df.groupby('var',as_index=False)`, isn't this obviously arbitrary "this is easier my way" complaints? (I did R before all the chaining stuff was popular, and I wouldn't stuff everything into a single command like that even now. It isn't like you get lazy evaluation or any special data processing magic.)
So I get people love chaining and tidyverse, good for you, I don't. But at least I can acknowledge that my way (or this way) people have different preferences and one is not intrinsically easier.
Norm Matloff has a blog where he essentially just argues the opposite of all the tidyverse stuff, https://github.com/matloff/TidyverseSkeptic, but it is the same idea in reverse to me (one is not obviously easier to learn than the other IMO).
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Where to learn R?
On the other hand, there is also a more traditional universe outside of the of the newer tidyverse approach. See the criticism of the tidyverse ecosystem by Prof Norm Matloff (of UC Davis). He provides a freely available introductory course in base R.
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I will take that odds
Whenever I hear tidyverse, I just feel the need to leave this: TidyverseSceptic
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Base-R Is Alive and Well
Yeah, I had never heard of him before, but I followed the link in the article above to his GitHub page and think he made some really great points about conciseness and clarity in base R code, and, I admittedly had no idea tapply() was so useful and easy to use, because I almost never see it used in any examples online. Although I agree with others here that he's misrepresenting why package developers use base R (which is to avoid dependences in their packages, which is very important), I also find myself agreeing with him that future R programmers not being taught base R is worrisome (I'm thinking of dependencies in future package development).
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Your thoughts on base R? I never considered it and, after reading seemingly know little about it.
I was in an R group meeting. One of the members mentioned Prof. Norm Matloff and said he has comments about tidyverse. I searched and found Matloff's explanation here. What are your thoughts on tidyverse and Matloff's comments about it? As I read it, I found myself agreeing with certain points. I do not have a computer science background; I'm someone trying to learn coding because I see uses for it in my work. I started my learning, about a year ago, with tidyverse tutorials. My patchwork jumping around, maybe in addition to some of the gaps Matloff indicates, show me that I know very little about base R.
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In charge of making the transition from Excel to R at the office
There are good arguments against tidyverse, especially for beginners. It doesn't lead to a growth in understanding the language fundamentals and requires to learn many functions, paradigms, and syntaxes not shared by base R, which can easily be overwhelming and lead to a learn-by-heart approach more than to a learn-by-understanding. There are many good articles on the topic, such as this one or a more in-depth one, suggesting to consider tidyverse a more advanced application for specific use cases, if you like the dialect. I don't, so I might be biased.
- Teaching R in a Kinder, Gentler, More Effective Manner
- An opinionated view of the Tidyverse “dialect” of the R language
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Thoughts on book?
I would discourage you to get into the tidyverse, at least in the first stages of your R training. It's like trying to learn english AND scottish together as a foreigner. You can read some better worded discussions here https://github.com/matloff/TidyverseSkeptic and here https://towardsdatascience.com/a-thousand-gadgets-my-thoughts-on-the-r-tidyverse-2441d8504433?gi=1b0a3648b6e6
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Ho everyone I am R beginer. I need to to change the data type of these two columns, I tried as many ways I could find on the internet but it just won't work for me. This is really frustrating especially when you are a beginer, can you pleae provide a solution ? Thanks a lot in advance !
My opinions are largely in agreement with Norm Matloff on the subject actually.
What are some alternatives?
r4ds - R for data science: a book
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
fasteR - Fast Lane to Learning R!
RCall.jl - Call R from Julia
100ProjectsOfCode - A list of practical knowledge-building projects.
VegaLite.jl - Julia bindings to Vega-Lite
tidytuesday - Official repo for the #tidytuesday project
Transformers.jl - Julia Implementation of Transformer models
pols3316-summer2022 - Lab materials, assignments, and other materials for my students in Statistics for Political Science, POLS 3316, Section 1, at University of Houston, Summer 2022.
magrittr - Improve the readability of R code with the pipe
algs4 - Algorithms in C# ported from the book "Algorithms 4th Edition".
PackageCompiler.jl - Compile your Julia Package