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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.
CUR at a glance
CUR
These formats reflect how desktop operating systems built their own graphics-resource conventions for cursors, icons, and device-independent drawing.
Format comparison
| Feature | R Markdown | CUR |
|---|---|---|
| File type | Document | Image |
| Extensions |
|
|
| MIME type |
|
|
| Created year | 2012 | 1990 |
| Inventor | Yihui Xie (RStudio / knitr) | Microsoft / Windows ecosystem |
| Status | active | legacy |
| 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 CUR.
- R Markdown is commonly used in document workflows.
When to use CUR
- Your target workflow expects CUR.
- Improve delivery compatibility with CUR.
- CUR is commonly used in image workflows.
FAQs
Why convert R Markdown to CUR?
Convert to CUR when preparing or preserving cursor assets for Windows applications, themes, or interface restoration.
It is useful when pointer hotspot behavior must survive alongside the bitmap itself.
What changes when converting R Markdown to CUR?
This conversion changes how the format behaves in downstream tools and delivery environments.
What should I review after converting R Markdown to CUR?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.