Load r rmarkdown github portfolio install#
Load r rmarkdown github portfolio code#

Load r rmarkdown github portfolio code#

Last month, all files were able to return all latex code within my longer document without issue. This is essentially the same line minus a few things, since it is screenshotted and the test file was edited for simplicity. Previously, my github document could create this image (using the pandoc_args: -webtex): old independent sign generation. Returns this image: new independent sign generation Give funcreporter a whirl, and let me know if it works.I have tried to knit several Rmarkdown files that output a github_document, e.g.:. Now that’s power! Three reports for three species isn’t much, but how about 100 reports for 100 clients? Here I’ll run the “Sample 1” report for all three iris species, setting an additional breaks parameter to 15 and adjusting a plot title accordingly: species <- unique ( iris $ Species ) funcreporter ( template_name = 'Sample 1', output_file = paste0 ( species, '-report' ), params = list ( species = species, breaks = 15, plot_title = paste ( species, 'Distribution' )) ) But funcreporter’s params argument can take list values of length greater than 1, meaning you can render any number of reports with a single function call. yaml file title): funcreporter ( template_name = 'Sample 2', output_file = 'carb-report', params = list ( cyl = 6 ) ) Here I’ll run the “Sample 2” report you can see in the tree directory above (the. Now you–the user–just need to know the names of your reports and their associated parameters. But first it has to know which package to use for reporting: library ( funcreporter ) set_funcreporter_pkg ( 'funcreports' ) Setting env var FUNCREPORTER_PKG = funcreports Setting env var FUNCREPORTER_PATH_TO_TEMPLATES =/ Library / Frameworks / R.framework / Versions / 4.0 / Resources / library / funcreports / rmarkdown / templates funcreport! libPaths, rmarkdown::render, and here::here.

Load r rmarkdown github portfolio install#

Within funcreports, note how each RMarkdown template has a skeleton.Rmd in a separte folder in the directory tree:Īfter you’ve created your reporting package (or installed funcreports), install funcreporter: remotes :: install_github ( 'ir-sfsu/funcreporter' )įuncreporter is really just a wrapper that coordinates some logistics between your. If you want to follow along, install it with: remotes :: install_github ( 'daranzolin/funcreports' ) Follow the mechanics of parameterized reporting here.īefore we get to funcreporter, there’s a little demo package called funcreports to give you an idea of what a reporting package looks like. I won’t go over package development here, but adding templates to a package is trivial: use usethis::use_rmarkdown_template and you’re good to go. Create your Reporting Packageįirst, create a package that contains your RMarkdown reports, parameterized or not. The infrastructure is mostly in place via rmarkdown, usethis, and devtools we only had to put it all together. It’s not the only approach, and it might not even be the best one, but it works. Here I’ll share our office’s approach to automated Rmarkdown reporting via the funcreporter package. We’ve been left to our own devices, at least for the moment. And surprisingly, there isn’t (yet) an RStudio-sanctioned method of doing so. There’s been some recent commotion about automating Rmarkdown reports.