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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.
SR2 at a glance
SR2
Early Sony raw formats reflect the transitional period in which Sony was still establishing its photography ecosystem and raw compatibility story.
Format comparison
| Feature | R Markdown | SR2 |
|---|---|---|
| File type | Document | Image |
| Extensions |
|
|
| MIME type |
|
|
| Created year | 2012 | 2003 |
| Inventor | Yihui Xie (RStudio / knitr) | Sony |
| Status | active | proprietary |
| Primary use cases |
|
|
| 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 SR2.
- R Markdown is commonly used in document workflows.
When to use SR2
- Your target workflow expects SR2.
- Improve delivery compatibility with SR2.
- SR2 is commonly used in image workflows.
FAQs
Why convert R Markdown to SR2?
Convert to SR2 when maintaining an archive of older Sony raws or preserving compatibility with an earlier Sony camera workflow.
In most modern pipelines it is a source or recovery target rather than a preferred new output.
What changes when converting R Markdown to SR2?
This conversion changes how the format behaves in downstream tools and delivery environments.
What should I review after converting R Markdown to SR2?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.