General
PromptBeginner5 minmarkdown
- `Reduce(f
x
0
Explore
Find agent skills by outcome
120,725 skills indexed with the new KISS metadata standard.
Showing 24 of 120,725Categories: Data & Insights, Creative, General, Coding & Debugging, Cursor-rules
General
PromptBeginner5 minmarkdown
- `Reduce(f
x)` applies binary function `f` cumulatively: `Reduce(+
0
General
PromptBeginner5 minmarkdown
- `do.call(fun
args_list)` — `args` must be a **list**
0
General
PromptBeginner5 minmarkdown
- `with(df
expr)` avoids repeating `df$` everywhere
0
General
PromptBeginner5 minmarkdown
> Non-obvious behaviors
gotchas
0
General
PromptBeginner5 minmarkdown
- **misc-utilities.md** — Read when: do.call behaves differently than direct call
need Reduce/Filter/Map
0
General
PromptBeginner5 minmarkdown
- Use `stop()`
`warning()`
0
General
PromptBeginner5 minmarkdown
- **dates-and-system.md** — Read when: Date/POSIXct conversion gives wrong day
time zones cause off-by-one
0
General
PromptBeginner5 minmarkdown
- **modeling.md** — Read when: formula syntax is confusing (`I()`
`*` vs `:`
0
General
PromptBeginner5 minmarkdown
Non-obvious behaviors
surprising defaults
0
General
PromptBeginner5 minmarkdown
For deeper coverage
read the reference files in `references/`:
0
General
PromptBeginner5 minmarkdown
labels = c(low
med
0
General
PromptBeginner5 minmarkdown
df$category <- cut(df$value
breaks = c(0
0
General
PromptBeginner5 minmarkdown
df[!duplicated(df$id)
]
0
General
PromptBeginner5 minmarkdown
cbind(df1
df2) # bind columns (same rows)
0
General
PromptBeginner5 minmarkdown
rbind(df1
df2) # stack rows (same columns)
0
General
PromptBeginner5 minmarkdown
df[order(df$group
-df$value)
0
General
PromptBeginner5 minmarkdown
df[!duplicated(df)
]
0
General
PromptBeginner5 minmarkdown
df[order(-df$value)
] # descending
0
General
PromptBeginner5 minmarkdown
df[order(df$value)
] # ascending
0
General
PromptBeginner5 minmarkdown
varying = list(c(v1
v2))
0
General
PromptBeginner5 minmarkdown
long <- reshape(wide
direction = long
0
General
PromptBeginner5 minmarkdown
wide <- reshape(long
direction = wide
0
General
PromptBeginner5 minmarkdown
merged <- merge(df1
df2
0