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R Markdown in sintesi
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.
CR2 in sintesi
CR2
CR2 became the dominant Canon raw family through the long DSLR era, so huge real-world photo archives still depend on stable CR2 decoding and migration paths.
Confronto tra formati
| Caratteristica | R Markdown | CR2 |
|---|---|---|
| File type | Document | Image |
| Extensions |
|
|
| MIME type |
|
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| Created year | 2012 | 2004 |
| Inventor | Yihui Xie (RStudio / knitr) | Canon |
| Status | active | proprietary |
| Primary use cases |
|
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| Vector scaling | Non supportato | Supportato |
Quando usare ciascun formato
When to use R Markdown
- Your source file is already in R Markdown.
- Preserve source expectations before exporting to CR2.
- R Markdown is commonly used in document workflows.
When to use CR2
- Your target workflow expects CR2.
- Improve delivery compatibility with CR2.
- CR2 is commonly used in image workflows.
Domande frequenti
Why convert R Markdown to CR2?
Convert to CR2 when preserving Canon originals or maintaining a workflow that expects Canon raw files.
It is useful for archive retention, raw editing, and non-destructive photo finishing.
What changes when converting R Markdown to CR2?
This conversion changes how the format behaves in downstream tools and delivery environments.
Moving to CR2 adds vector scaling.
What should I review after converting R Markdown to CR2?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.