![]() car_plot <- ggplot ( data = mtcars, aes ( x = disp, y = hp, color = wt, size = mpg )) + geom_point () # Save the plot to disk as a PNG image. Library ( ggplot2 ) library ( htmltools ) # Create a plot. A quick summary of the output metadata options are: OptionĪ character string giving the email subject lineĪ character string to be used as the plain-text body of the emailĪ character string that results in HTML to be rendered in the body of the emailĪ list of relative file paths for files to be attached to the emailĪ named list, where the key matches the CID name of the image in the email body, and the object is a base64 encoded image.Ī boolean, whether to send the scheduled email ( FALSE) or suppress the email ( TRUE)Ī boolean, whether to include the rendered report as an attachment to the email Instead of using the blastula package, it is possible to construct custom emails using R Markdown Output Metadata. When you publish to Posit Connect, simply include theĬhild R Markdown document responsible for the email as a supporting file. This code is an example from the final code chunk found inĬonnect-example-main.Rmd Rendering the main report will create a preview You can list them in the R Markdown header: You can use the RStudio IDE to select resource files, or Output file, a resource file can be a plot, a data file, or any other artifact You render it, then you will need to mark that file as a resource file. If you want Posit Connect to host a file that you have in your report's sourceĭirectory on your computer, and that file is not generated by the report when The URL for your content is the same as its "Open Solo" location and isĪvailable in the Posit Connect dashboard. An output file namedĭaily-summary.csv will be available at the URL Output files available under that URL path. You will get a download of the file from the same point in time as the report. ![]() In the example above, if you viewĪ historical rendering of the report, when you click on the data.csv link, Here is the data used in my report: (data.csv)īecause output files are versioned along with the rendering of their report, The YAML header is a good place to configure default values for metadata that There are two ways to set output metadata: in the YAML header and in R code ![]() Subjects, and additional email attachments. Takes advantage of this metadata, allowing output files, custom email The rmarkdown package allows reportĪuthors to emit additional output metadata from their report. We normally think of R Markdown documents as producing a single outputĪrtifact, such as an HTML or PDF file. Collaborate and share code with others, and.Do data science interactively within the RStudio IDE,.You bring your data, code, and ideas, and R Markdown renders yourĬontent into a polished document that can be used to: ![]() It combines theĭynamic analysis documents that combine code, rendered output (such as figures),Īnd prose. An authoring format that enables easy creation of dynamic documents, ![]()
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