If you are new to using R Markdown, we encourage you to start with a systematic overview, rather than diving right in to reading documentation pages. The best place to start is the “Communication” section in the book “R for Data Science” (R4DS for short), an O’Reilly book written by Hadley Wickham and Garrett Grolemund.
The complete Cheat Sheet can be used to give an indication of market timing. Green below the current price and red above will tend to keep trading in a narrow band, whereas green above the current price, or red below can produce a breakout where each new price level is confirmed by a new signal. The 2020 CARES Act temporarily waives the required minimum distribution (RMD) rules for 401(k) plans and individual retirement accounts (IRAs) and the 10% penalty on early withdrawals up to. Check out the R Markdown cheat sheet more examples. For instructions on how to include R output and special characters (symbols, subscripts, etc.) in your text, see the document in the “Links.
Here are the chapters that cover R Markdown, as summarized by Hadley and Garrett:
Markup Language Cheat Sheet
In R Markdown, you will learn about R Markdown, a tool for integrating prose, code, and results. You can use R Markdown in notebook mode for analyst-to-analyst communication, and in report mode for analyst-to-decision-maker communication. Thanks to the power of R Markdown formats, you can even use the same document for both purposes.
In R Markdown formats, you’ll learn a little about the many other varieties of outputs you can produce using R Markdown, including dashboards, websites, and books.
We’ll finish up with R Markdown workflow, where you’ll learn about the “analysis notebook” and how to systematically record your successes and failures so that you can learn from them.
R Markdown Reference Guide