12/24/2023 0 Comments Load r rmarkdown github portfolioWithin 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. 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. Also, the mobile version of the app is embedded below: You can access either to the web or mobile Rmarkdown app respectively here and here. ![]() Now you are ready to experiment different RMarkdown functions and test the corresponding outputs! □ The above code generates the following output: For example, let’s click both Code and Emoji in the toolbar, we can see the following R code used: You can also try multiple functions at the same time. Then when we click on the Compiled html, we can see the following output: Click on the Code in the toolbar for some example code: On the right hand side, Raw code shows the original R code that generates the output, Compiled html shows the compiled output based on the Raw code, and BibTex file shows the formatting lists of references.įor example, let’s try to compile some R code within RMarkdown. Then a shiny app window will pop out for you to access the application like the following:Īs you can see, the toolbar on the left hand side allows you to try different RMarkdown functions. # RMarkdown Web introDS :: runShiny( 'rmd') # RMarkdown Mobile introDS :: runShiny( 'rmd_mini')
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