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r4ds | fasteR | |
---|---|---|
165 | 22 | |
4,339 | 873 | |
- | - | |
8.7 | 7.1 | |
9 days ago | 5 months ago | |
R | R | |
GNU General Public License v3.0 or later | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
r4ds
Posts with mentions or reviews of r4ds.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-24.
- Ask HN: Learning Maths from the Ground Up
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Any suggestions on where I can learn R studio for an affordable cost?
https://r4ds.hadley.nz is free and very good
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Help with Understanding data loading/cleaning in R.
R for Data Science teaches you the tidyverse packages, which makes data wrangling so much easier!
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Learning R & statistics
One of the best free resources is the R4DS book by Hadley Wickham. You should make sure you start with the in progress second edition. https://r4ds.hadley.nz/
- Trying to learn Rstudio
- Questions as incoming PhD political science student
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First R project
The first edition of R4DS is quite old now. Check out the soon to be released second edition: https://r4ds.hadley.nz/
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Is R dead?
R for Data Science (2nd Ed), the updated guide from Hadley Wickham
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[Career] Strong Mathematics Background, Limited "Technical" Background
The big skills gap you have is in practical data exploration and transformation, which will be a large part of any data-centric role. As much as people may have distaste for it, there is no avoiding data manipulation as critical foundational enabler of all inferential and predictive modeling work. SQL is the lingua franca here and well worth picking up the basics (joins, window functions, handling dates and times, etc.), plus learning how to implement similar transformations in R and Python. With appropriately transformed data, you then need to be able to visualize it effectively using tools like Tableau or ggplot2 in R. I would not necessarily seek courses or certificates in it but expect to be evaluated on them in technical interview screenings, so self-study accordingly. R for Data Science by Hadley Wickham is a great free resource for these topics for R.
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There’s a lot of data science books out there, any recommendations for must-reads?
I just looked and there is now a second edition! https://r4ds.hadley.nz/
fasteR
Posts with mentions or reviews of fasteR.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-07.
- Matloff/fasteR: Fast Lane to Learning R (2019)
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Anyone know which pod where Eric and Greg talked about R and SPSS?
The good/bad news is that R has become so popular that there is a overabundance of resources you can use to learn it. Here are a few that helped me get started (though they may be dated at this point, ymmv): [1] [2] [3] [4] [5].
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Where to learn R?
Start with fasteR, then move to Hands on Programming with R and R for Data Science. There is considerable overlap in the early chapters so don’t be afraid to skip parts. If you want to know more about the nuts and bolts of R then try Advanced R.
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Help Please !
This tutorial is very good for starters. As is this book.
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Book suggestion for R beginner in college? Using Tidyverse DPLYR etc.
If you’re sure you need to be focussed on tidyverse then the seminal text would be R for Data Science. If you want even more basics than that then I would start with this link, and a book like Hands on Programming with R.
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STA Courses Programming in Python?
I’m taking a special topic ECS course and we use R here the profs quick start course https://github.com/matloff/fasteR
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Would love your college course PowerPoints on how to use R Studio
Recently I’ve favoured recommending this as one of the best ways to get up to speed with the main basics as quickly as possible. But be prepared that this really is just the start, and you will need to follow the recommendations here or elsewhere for further learning.
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Rgui or Rstudio? And why is my Rgui blurry?
Check out his free course on GitHub where you'll see he walks you through getting right into learning R, keeping things simple by using the R Gui command line: https://github.com/matloff/fasteR
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Programming (Stata, R & Python)
For R - the free book "R for Data Science", https://github.com/matloff/fasteR , and the data.table vignettes (I personally prefer using data.table than tidyverse, although there are some useful functions in tidyverse)
- Resources for learning R?
What are some alternatives?
When comparing r4ds and fasteR you can also consider the following projects:
swirl - :cyclone: Learn R, in R.
tidytuesday - Official repo for the #tidytuesday project
db-benchmark - reproducible benchmark of database-like ops
R-vs.-Python-for-Data-Science
lab02_R_intro - Vežbe 2: Uvod u R
viridis - Colorblind-Friendly Color Maps for R
ggplot2-book - ggplot2: elegant graphics for data analysis
dplyr - dplyr: A grammar of data manipulation
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
data_to_viz - Leading to the dataviz you need