Yaml header rmarkdown pro#
3.3.3 Sharing Projects on RStudio Server Pro.Let me know if you have other favorite features in Rmarkdown/YAML to streamline your analyses and increase your productivity. The result is a gorgeous and neatly organized HTML report! I’m sure the awesomeness doesn’t end there. For instance, I just realized that subheaders in the HTML report can be shown underĭifferent tabs on the same page. Rmarkdown is just awesome! I would say almost as good as Nutella! I feel like I keep learning hidden (?) features of R and Rmarkdown every day. When they get hungry leading to bad decision-making. It turns out that the government officials across the globe are a bit grumpy To the insufficient amounts of Nutella consumption in situation rooms. Our analysis shows that the main reason of global conflicts can be attributed Title: Our groundbreaking analysis that will lead to world peace
Yaml header rmarkdown code#
This can be useful for including logos, details of the analytical approach, interpretations of the results, contact us sections, Google Analytics tracking code snippet etc: Indented underneath this variable, you can specify HTML contents to display in the page header or before/after the page body. includes: I don’t usually use this really, but I can see how powerful it can be.It can be one of “default”, “cerulean”, “journal”, “flatly”, “darkly”, “readable”, “spacelab”, “united”, “cosmo”, “lumen”, “paper”, “sandstone”, “simplex”, “yeti”. theme: Change the overall look of the report.code_folding: true/false to display code in collapsible sections (especially useful when sharing the analysis with others who don’t care about the code itself).number_sections: true/false to organize the document with numeric headings.toc_float: true/false determining whether the TOC stays visible when you scroll down.toc_depth: A number (default 3) determining how many subheadings will be visible in the TOC.It creates links to headings throughout the html_document toc: true/false to show table of contents.These variables need to be indented under the html_document option. OK, SERIOUS NOW: HTML code can beĪlso added to leave some breating space after abstract such as Second paragraph of the abstract continues to be just magnificent. It is aīeautiful abstract because nobody writes abstracts better than I do. Multiple paragraphs can be specified but they must be indendented and preceded by the OR sign:įirst paragraph of what may be the best abstract ever written. Centered text will be displayed before the content of the document. abstract: Useful for summarizing the analysis.The language needs to be specified as and the code needs to be wrapped with backticks and quotes ( "`r function_call()`").ĭate: "`r format(Sys.time(), '%d %B, %Y')`" # nicely formattedĭate: "`r lubridate::today()`" # can use functions from pkgs date: You can hard-code this or execute R code to automate it.Name_2 # but be consistent among different entriesĪffiliation: University of Someplace # same amt of indentation needed You can use lists for multiple authors and for adding other metadata:.title: A descriptive main title (no need for quotes).However, Rmarkdown can also be used to generate other types of reports (such as PDF, Word, Powerpoint, etc.) (see more YAML header in an Rmd file looks like this: -ĭate: Aug# can execute R code here (see below)īelow you can find some general and HTML output-specific YAML options. You can check out the following resources for details about tons of other options: In this post, I will share with you few of the YAML options I commonly use for generating HTML outputs in my data analysis projects. Built-in YAML parameters make it easier to create more organized and informative reports. YAML header to specify certain parameters right at the beginning of the document. Scripts are great for modular computational tasks, but for generating informative reports, Rmarkdown is a must. I think most people start using R with scripts initially.
0 kommentar(er)
