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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.
SRF at a glance
SRF
Before ARW became the better-known Sony raw family, Sony's raw ecosystem already included older variants that modern tools still need to decode correctly.
Format comparison
| Feature | R Markdown | SRF |
|---|---|---|
| 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 SRF.
- R Markdown is commonly used in document workflows.
When to use SRF
- Your target workflow expects SRF.
- Improve delivery compatibility with SRF.
- SRF is commonly used in image workflows.
FAQs
Why convert R Markdown to SRF?
Convert to SRF when preserving older Sony originals or keeping a legacy Sony raw library intact.
It is useful for archive recovery and compatibility workflows.
What changes when converting R Markdown to SRF?
This conversion changes how the format behaves in downstream tools and delivery environments.
What should I review after converting R Markdown to SRF?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.