![]() One of the plots is special and important. I don’t want to involve in the war of arguing whether 11-10-2018 means 11th October 2018 or 10th November 2018.Īdd id tag and further style images Scenario To avoid ambiguity between the date number and the month number, I usually format the month using its full name. SIDENOTE: even though I am in line with xkcd that ISO 8601 is the best way to indicate date, not all viewers agree on this. the magical "%d %B, %Y" argument above) is also summarised in Chapter 4 of R Markdown Cookbook. The inline expression above calls R to get the current time ( Sys.time())when the document is “knitted”, and then format the date ( format(Sys.time(), "%d %B, %Y")) to human readable format.Ī full table of POSIXct formats (i.e. Therefore, it is possible to write r expressions inside the YAML header. Knitr evaluates the r expressions (both inline and block) to create a markdown before passing it to pandoc to convert the markdown to HTML report. date : '`r format(Sys.time(), "%d %B, %Y")`' - Explanation This one-liner from Stack Overflow does the trick. To differentiate between them, it is needed to show the last updated date on the top of the document. ![]() The rmarkdown document is continuously updating that there will exist various verison of the report. Interactively present spatial data with mapviewĪutomatically update the last edited/updated date Scenario.Automatically update the last edited/updated date.Though, I may not have time to write many paragraphs. This list may be continuously updating, as I always learn new things about R. Here is a list of selected packages and functions I find extremely useful (for my routine works, at least). The details and flexibility of extending your Rmd is fully listed in the R Markdown Cookbook. I am always surprised many functions that I believe required manual edits the actually available as functions in knitr. Rmarkdown (and markdown) are crazily useful to generate documents.
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