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Within the text section of an RMarkdown document you can include LaTeX format text to output different forms of text, mainly equations and mathematical expressions. As data scientists there is often the need to explain distributions and equations that are behind the methods we present. Unlike a highly formatted word processor, we cannot produce equations by clicking on symbols. Or we can add the next consecutive number.We can use one again to continue our ordered list.You can manipulate the number of spaces or indents to your liking.simply add an indent or four preceding spaces to indent a list.You can create bullet points by using symbols such as *, +, or.Which delivers the following list structure: Or we can add the next consecutive number. We can use one again to continue our ordered list.Ģ. + You can manipulate the number of spaces or indents to your liking.ġ. + simply add an indent or four preceding spaces to indent a list.

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RMarkdown allows to create different list structures as shown in the code below: * You can create bullet points by using symbols such as *, +, or. Lists can be extremely convenient to make text more readable or to take course notes during class.

  • A Basic Probability and Statistics with R.
  • 10.2 Denial-of-service (DoS), crawl rate, and robots.txt.
  • 8.1.7 Step 7: Create a github repo - possibly with the same name as package.
  • 8.1.3 Step 3: Move your R scripts into the R folder.
  • 8.1.1 Step 1: Create an “empty” R package.
  • 7.8.3 Step 3: Connecting frontend and backend.
  • 7.5 Step 4: Connecting frontend and backend.
  • 7.4 Step 3: Implementing the backend (server).
  • 7.3 Step 2: User Interface (UI) / Frontend.
  • Defining the R Code in the backend of the Shiny app
  • 6.4 Example (continued): Least-squares function.
  • 5.5.4 Application to Nonelementary Integrals.
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    5.5.3 Application to the Normal Distribution.4.2.3 Example: Summary Statistics with Matrix Notation.3.2.5 Note about GitHub Student Developer Pack.2.1 Create an R Markdown file in RStudio.1.2 Basic Probability and Statistics with R.










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