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R Markdown in het kort
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.
RAS in het kort
RAS
Before today's relatively small set of mainstream consumer image formats dominated everyday use, desktop software, workstations, GUI systems, and early graphics tools produced many specialized raster formats with local importance.
Formaatvergelijking
| Kenmerk | R Markdown | RAS |
|---|---|---|
| File type | Document | Image |
| Extensions |
|
|
| MIME type |
|
|
| Created year | 2012 | 1987 |
| Inventor | Yihui Xie (RStudio / knitr) | Sun Microsystems |
| Status | active | legacy |
| Primary use cases |
|
|
| Vector scaling | Niet ondersteund | Niet ondersteund |
Wanneer je elk formaat gebruikt
When to use R Markdown
- Your source file is already in R Markdown.
- Preserve source expectations before exporting to RAS.
- R Markdown is commonly used in document workflows.
When to use RAS
- Your target workflow expects RAS.
- Improve delivery compatibility with RAS.
- RAS is commonly used in image workflows.
Veelgestelde vragen
Why convert R Markdown to RAS?
Convert to RAS when preserving compatibility with historical Sun or Unix image assets.
In most modern contexts it serves as a migration and archive-recovery format.
What changes when converting R Markdown to RAS?
This conversion changes how the format behaves in downstream tools and delivery environments.
What should I review after converting R Markdown to RAS?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.