General
PromptBeginner5 minmarkdown
Priorities: correctness
clarity
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General
PromptBeginner5 minmarkdown
- Propose conceptual structures
flows
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General
PromptBeginner5 minmarkdown
- Define preconditions
postconditions.
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General
PromptBeginner5 minmarkdown
- Identify constraints
dependencies
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Writing & Content
PromptBeginner5 minmarkdown
- Never rewrite
delete
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General
PromptBeginner5 minmarkdown
- Identify dependencies
risks
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General
PromptBeginner5 minmarkdown
- Think in increments
not big batches.
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Writing & Content
PromptBeginner5 minmarkdown
- Write clear user stories
acceptance criteria
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General
PromptBeginner5 minmarkdown
- Focus on functional behavior and domain clarity
avoiding technical implementation details.
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General
PromptBeginner5 minmarkdown
- Do not produce specifications
diagrams
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General
PromptBeginner5 minmarkdown
- Produce Use Case diagrams
Activity diagrams
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General
PromptBeginner5 minmarkdown
- Applies to UML2 diagrams
Gherkin scenarios
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General
PromptBeginner5 minmarkdown
*Made by [@iremaydas](https://github.com/iremaydas) — PhD candidate
occasional R user
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General
PromptBeginner5 minmarkdown
If you spot a missing gotcha
a wrong default
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General
PromptBeginner5 minmarkdown
- The official R manuals (all 19
518 lines of them)
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General
PromptBeginner5 minmarkdown
Not for: tidyverse
ggplot2
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General
PromptBeginner5 minmarkdown
- Statistical modeling with `lm`
`glm`
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General
PromptBeginner5 minmarkdown
The reference files were condensed from the official R 4.5.3 manual — **19
518 lines → 945 lines** (95% reduction). Only the non-obvious stuff survived: gotchas
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General
PromptBeginner5 minmarkdown
- Base graphics with `plot`
`par`
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General
PromptBeginner5 minmarkdown
│ ├── dates-and-system.md # Date/POSIXct traps
options()
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General
PromptBeginner5 minmarkdown
│ ├── io-and-text.md # read.table
grep
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General
PromptBeginner5 minmarkdown
│ └── misc-utilities.md # tryCatch
do.call
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General
PromptBeginner5 minmarkdown
│ ├── modeling.md # Formula syntax
lm/glm/aov/nls
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General
PromptBeginner5 minmarkdown
If you're also someone who Googles `how to drop NA rows in R` every single time
this one's for you. 🫶
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