ISLR
rmarkdown
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| ISLR | rmarkdown | |
|---|---|---|
| 4 | 36 | |
| 54 | 2,735 | |
| - | 0.5% | |
| 0.0 | 8.2 | |
| over 2 years ago | 6 days ago | |
| R | R | |
| - | GNU General Public License v3.0 only |
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.
ISLR
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An Introduction to Statistical Learning with Applications in Python
It’s a well known machine learning book. I’ve read through it and done the exercises in R.
https://github.com/melling/ISLR
There’s an edX course from the authors:
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R Markdown: The Definitive Guide
I recently discovered R Markdown. Started doing the ISLR examples with it.
https://github.com/melling/ISLR/blob/main/chapter08/08_Lab02...
https://github.com/melling/ISLR/blob/main/chapter08/08_Lab02...
I need to figure out how to better fit images so I don’t have pages with large gaps
Also, you can now embed executable Python in the files.
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The Elements of Statistical Learning [pdf]
I’m up to Chapter 6 in ISLR
https://github.com/melling/ISLR
Would Elements of Statistical Learning be my next book? I’ve seen the Bishop book highly recommended too.
https://www.amazon.com/Pattern-Recognition-Learning-Informat...
rmarkdown
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We’re Washington Post reporters who analyzed Google’s C4 data set to see which websites AI uses to make itself sound smarter. Ask us Anything!
We used R Markdown for cleaning and analysis, creating updateable web pages we could share with everyone involved. Similarweb’s categories were useful, but too niche for us. So we spent a lot of time recategorizing and redefining the groupings. We used the token count for each website — how many words or phrases — to measure it’s importance in the overall training data.
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Generating PDF 📄 with Python 🐍
R Markdown / Quarto https://quarto.org/ https://rmarkdown.rstudio.com/ ; can dynamically generate a document and compile it to HTML, PDF, others
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PYTHON CHARTS: the Python data visualization site with more than 500 different charts with reproducible code and color tools
Hi! At this moment I'm not opening the source code, but I can explain you the tech used. This site is based on another site I created before named https://r-charts.com/ and it was created with blogdown (HUGO + R Markdown). Hence, each tutorials is an R markdown file. For PYTHON CHARTS, in order to run Python within an R markdown file I had to use an R package named reticulate. In addition, the template depends on shuffle.js for filtering and fuse.js for searching
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looking for an "low dependency" or pythonesque way to generate PDF's
What you want is not Python, its R Markdown; https://rmarkdown.rstudio.com/
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LaTex alternative/replacement written in Rust?
not sure what you mean by this exactly but in my experience its far better to use Markdown + pandoc for stuff like this. Actually I use R Markdown which can compile to either HTML or PDF from the same source document, with executable code chunks embedded (to generate the document contents) ; https://rmarkdown.rstudio.com/
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Neovim support for editing Quarto (.qmd) files
Quarto is a relatively new Markdown-based file format. One of its main uses is writing reports that interleave text with code and results; it supports rendering with knitr (an engine widely used in the R community) as well as Jupyter (more popular with Python users). Since I work in data science, I use both languages regularly. For writing R reports, I've switched from R Markdown (Quarto's R-focused predecessor) to Quarto. I'd also like to start writing Python reports in Quarto using Neovim.
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How do you build and send reports to your users?
If you're not already aware of and using RMarkdown, make learning it a priority. I use both R and Python extensively. Although Jupyter Notebooks have utility, RMarkdown is the superior tool for the most flexibility in reporting.
- Ask HN: Markdown/reStructuredText to write a PhD thesis in STEM fields?
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Securing R Markdown Documents
The polished package now supports Rmarkdown documents that use the shiny runtime. This includes flexdashboard!
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[D] Research paper figure drawing
The package ggplot2 in R platform is a good choice. You can make any type of figure, here are some examples, https://www.r-graph-gallery.com/heatmap.html . Combined with rmarkdown (https://rmarkdown.rstudio.com/), you can combine together all of the steps together -- data input, data cleaning, data analysis, the final report of various formats, PDF, HTML, Word, PowerPoint, or journal articles. See here https://github.com/rstudio/rticles
What are some alternatives?
Pluto.jl - 🎈 Simple reactive notebooks for Julia
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
here_here - I love the here package. Here's why.
tinytex - A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live
codebraid - Live code in Pandoc Markdown
blogdown - Create Blogs and Websites with R Markdown
TikZ - Complete collection of my PGF/TikZ figures.
github-orgmode-tests - This is a test project where you can explore how github interprets Org-mode files
the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
RStudio Server - RStudio is an integrated development environment (IDE) for R
dplyr - dplyr: A grammar of data manipulation
noweb - The noweb tool for literate programming