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R Markdown at a glance
R Markdown
R Markdown grew from the knitr and RStudio ecosystem and became the dominant reproducible-reporting format for R-centered data science before Quarto generalized the model across more languages.
HDR at a glance
HDR
HDR raster formats became important in rendering and lighting workflows before consumer-facing HDR delivery stories matured in mainstream media formats.
Format comparison
| Feature | R Markdown | HDR |
|---|---|---|
| File type | Document | Image |
| Extensions |
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| MIME type |
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| Created year | 2012 | 1989 |
| Inventor | Yihui Xie (RStudio / knitr) | Greg Ward |
| Status | active | active |
| Primary use cases |
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| Vector scaling | Not supported | Not supported |
When to use each format
When to use R Markdown
- Your source file is already in R Markdown.
- Preserve source expectations before exporting to HDR.
- R Markdown is commonly used in document workflows.
When to use HDR
- Your target workflow expects HDR.
- Improve delivery compatibility with HDR.
- HDR is commonly used in image workflows.
FAQs
Why convert R Markdown to HDR?
Convert to HDR when you need scene-referred high-dynamic-range image data for rendering, environment lighting, or technical HDR processing.
It is useful for lighting assets and specialized imaging pipelines.
What changes when converting R Markdown to HDR?
This conversion changes how the format behaves in downstream tools and delivery environments.
What should I review after converting R Markdown to HDR?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.