Frustration-One-Year-With-R
An extremely long review of R. (by ReeceGoding)
ggplot2-book
ggplot2: elegant graphics for data analysis (by hadley)
Frustration-One-Year-With-R | ggplot2-book | |
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17 | 31 | |
621 | 1,583 | |
- | - | |
2.9 | 0.0 | |
over 1 year ago | 5 months ago | |
Perl | ||
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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.
Frustration-One-Year-With-R
Posts with mentions or reviews of Frustration-One-Year-With-R.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-08-19.
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Seven basic rules for causal inference
R is my least favorite language to use, thanks to the uni courses that force it
https://github.com/ReeceGoding/Frustration-One-Year-With-R
- Will R be replaced by python in the coming years in industry for data analysis based bioinformatics (ie omics, NGS analysis)
- O que acham da linguagem R?
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What would you recommend for a mathematician and R person who really sucks at software/computing to learn Python as well? Or: how is Python so much more difficult than R?
python is a lot more consistent than R. it doesn't have most of the bullshit detailed here: https://github.com/ReeceGoding/Frustration-One-Year-With-R
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Modeling and simulation is where it’s at
See my friend's essay about it.
- Frustration: One Year with R
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don’t
A friend of mine wrote a [recently viral R takedown](https://github.com/ReeceGoding/Frustration-One-Year-With-R) that shocked people in the same way.
- An R user writes down his frustration
- One Year with R
ggplot2-book
Posts with mentions or reviews of ggplot2-book.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
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Does anyone else absolutely love plotting their data
I also only recently started using ggplot after doing most of my graphs with base R‘s plot() function. I started by reading ggplot2 by Hadley Wickham which is also available as a free ebook. Reading the first few chapters is enough to enable you to plot many basic plots. I can’t imagine going back to any other visualization tool ever again. Absolutely love the freedom ggplot gives you.
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I am starting to learn R and I love it. I would like to learn at least 1 another simmilar language. Which one(s) should I learn?
His ggplot book will teach you all you need to know about R plotting, and is probably right at your current level. It is likewise pretty great, ggplot
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What are your favorite softwares for data visualization?
The OG book is still the best in my opinion! https://ggplot2-book.org/
- Data analysis skills before/in lieu of master’s program
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How can I do this graph?
You could use base R, see ?plot but a lot of people would use ggplot2. However, looking at your data it won’t look very good because there’s going to be very few points per country.
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Can someone explain how R project are organized and deployed?
If you included DESCRIPTION to your repository (like in ggplot2-book - https://github.com/hadley/ggplot2-book/blob/master/DESCRIPTION ) devtools::install_deps() and renv::install() will install dependencies listed there as would pip with requirements.txt , you can trigger this from your R script, from command line or from whatever deployment / automation tool you are using.
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[Q] is majoring in stats a bad choice if i suck at programming?
Chapters 1-8 of https://adv-r.hadley.nz/, https://r4ds.had.co.nz/ , and https://ggplot2-book.org/ were covered in my statistical computing courses. I don't think it gets much more advanced than that at the undergrad level.
- How to add color?
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How can I make a line graph!?
You can check out more about Ggplot2 here: https://ggplot2-book.org/
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Ask HN: How would you spatialize higher dimensional data?
* "ggplot2: Elegant graphics for data analysis" : https://ggplot2-book.org/
What are some alternatives?
When comparing Frustration-One-Year-With-R and ggplot2-book you can also consider the following projects:
review-tuxedo-pulse-15-gen1 - A review of the Tuxedo Pulse 15 (Gen 1).
r4ds - R for data science: a book
mech - 🦾 Mech is a programming language for building data-driven systems like robots, games, and interfaces. Start here!
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)
handson-ml2 - A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
tidyr - Tidy Messy Data
argbash - Bash argument parsing code generator
dtplyr - Data table backend for dplyr
Frustration-One-Year-With-R vs review-tuxedo-pulse-15-gen1
ggplot2-book vs r4ds
Frustration-One-Year-With-R vs mech
ggplot2-book vs cheatsheets
Frustration-One-Year-With-R vs cheatsheets
ggplot2-book vs mech
Frustration-One-Year-With-R vs forcats
ggplot2-book vs handson-ml2
Frustration-One-Year-With-R vs tidyr
ggplot2-book vs forcats
Frustration-One-Year-With-R vs argbash
ggplot2-book vs dtplyr