Markdown For Dummies



No one starting point will serve all beginners, but here are 6 ways to begin learning R.

  • Install , RStudio, and R packages like the tidyverse. These three installation steps are often confusing to first-time users. For beginner-friendly installation instructions, we recommend the free online ModernDive chapter Getting Started with R and RStudio. You may also enjoy the Basic Basics lesson unit from R-Ladies Sydney, which provides an opinionated tour of RStudio for new users and a step-by-step guide to installing and using R packages.

  • Spend an hour with A Gentle Introduction to Tidy Statistics In R. If you are coming to R from a traditional point-and-click statistics package such as SPSS or SAS, RStudio’s Thomas Mock has created a free video webinar titled A Gentle Introduction to Tidy Statistics In R. This one-hour introduction covers how to get started quickly with the basics of research statistics in R, providing an emphasis on reading data into R, exploratory data analysis with the tidyverse, statistical testing with ANOVAs, and finally producing a publication-ready plot in ggplot2. Plus, you’ll find a host of other RStudio webinars and videos to explore via the topic menus on the left side of that page.

  • Read R for Data Science. While videos are great for some, others of us learn best by curling up with a good book. If that describes you, pick up a copy of R For Data Science by Wickham and Grolemund (2016) from your friendly local bookseller. R For Data Science is available in paper and electronic forms and has been translated into multiple languages including Spanish, so choose the version that’s easiest for you. R For Data Science is also available for free as a online book at https://r4ds.had.co.nz. If you don’t yet know enough about R to commit to R for Data Science, you may find Garrett Grolemund’s Hands On Programming with R(2014) a quicker way to get started. It’s also available in paper, electronic, and free online versions.

  • Start coding using RStudio.cloud Primers. One of the most effective ways to get started learning R is to start using it. RStudio.cloud Primers offer a cloud-based learning environment that will teach you the basics of R all from the comfort of your browser. RStudio.cloud doesn’t require you to install any software on your computer, making it easy to dip your toe into data science with R with a minimum of fuss. And best of all, rstudio.cloud accounts are free for personal use.

  • Publish your work with R Markdown. R is a terrific tool for telling stories with graphics and data, but sometimes you need words too. R Markdown weaves together narrative text and code to produce elegantly formatted reports, papers, books, slides and more. Garrett Grolemund will give you a personal R Markdown tour with his Get Started With R Markdown video, or you can choose your own path through the wonders of R Markdown at rmarkdown.rstudio.com. Bookmark R Markdown: The Definitive Guide(2018) as you work too; it provides a great overview of what is possible within the R Markdown family of packages.

  • Learn about some power tools for development. RStudio offers 6 videos called the RStudio Essentials Series that help you learn how to program and manage R projects using RStudio’s tools including the RStudio Integrated Development Environment (IDE). These videos will also help you learn good development practices that make collaboration within a team safe and easy.

  1. Super Nintendo Development Wiki - Technical Documents, Tutorials & SNES Documentation.
  2. Markdown is also a syntax for styling text on the GitHub platform R Markdown: R code embedded in a Markdown document use.Rmd extension in R studio R Markdown converted to standard Markdown using ‘knitr’ package Workflow: R Markdown = Markdown = html/pdf/word.
  3. R markdownis a particular kind of markdown document. Authors should be cautious about following formatting advice for other types of markdown when working on R markdown. The distinguishing feature of R markdownis that it cooperates with R. Like LATEX with Sweave, code chunks can be included. When the document is compiled, the code is executed.
  4. 자료구조 스택 (STACK), 큐(QUEUE) 개념/비교 /활용 예시/ 실생활 활용 스택 (STACK)이란? 📌 스택의 개념 스택(stack)이란 쌓아 올린다는 것을 의미한다. 따라서 스택 자료구조라는 것은 책을 쌓는 것처럼 차.


Books & packages referenced

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2020. Rmarkdown: Dynamic Documents for R. https://CRAN.R-project.org/package=rmarkdown.

Towards Data Science: Anomaly Detection for Dummies. Computer Vision News (March 2019): Python Open Source Toolbox for Outlier Detection 'examples/knnexample.py' demonstrates the basic API of using kNN detector. It is noted that the API across all other algorithms are consistent/similar.

Grolemund, Garrett. 2014. Hands-on Programming with R: Write Your Own Functions and Simulations. O’Reilly Media, Inc. https://rstudio-education.github.io/hopr/.

Markdown For Dummies

Wickham, Hadley. 2019. Tidyverse: Easily Install and Load the ’Tidyverse’. https://CRAN.R-project.org/package=tidyverse.

Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2020. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics.

Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media, Inc. https://r4ds.had.co.nz/.

Xie, Yihui, Joseph J Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown/.

About the Super Nintendo Development Wiki

Welcome to the SNES Development wiki. For many years information has been literally scattered across the world, in old text files, in aging and now disappearing web sites, in dead forums, in some wiki's that never quite made it happen, in books... basically it's been attempted but hasn't even been made quite right.

So why do I think this will work? I've been collecting SNES games, development items, prototype games, game source code, memorabilia, etc for a while, and maintain my own SNES database. I am truly interested in this, it is my hobby. Even if no one else finds this useful, it will be my own little book, the go to guide.

I will be adding important documents and they will probably have flaws, feel free to help me in updating them.

Check out the tags page to view all tags and their documents.

Super Nintendo Technical Documents

Audio / SPC700 Technical Documents

Concepts

Other SNES Documents

Game Specific SNES Documents

  • Secret of Mana / Seiken Densetsu 2
Markdown For Dummies

SNES Development Tutorials

  • ikari_01's SNES Debugging - Drakkhen II Text Compression (Video)

blargg's ca65 Tutorials

Iceguy's Tutorials

ForDummies

bazz's Tutorials

bazz's Tutorials 2 - Special FX

Aaendi's Tutorials

Core Concepts

Markdown Definition For Dummies

Optimization

Foreign Language Tutorials

  • SNES逆汗解析・改造入門 (Japanese: Introduction to SNES Disassembly Analysis and Hacking)
  • SFC サウンドマニュアル (Japanese: SFC Sound Manual)

R Markdown For Dummies

Misc. Documents

Old Software

Markdown Language For Dummies

Wiki Help