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111,750 skills indexed with the new KISS metadata standard.

Showing 24 of 111,750Categories: Research & Learning, General, Coding & Debugging, Cursor-rules, Data
General
PromptBeginner5 minmarkdown

> Non-obvious behaviors

gotchas

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General
PromptBeginner5 minmarkdown

- `with(df

expr)` avoids repeating `df$` everywhere

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General
PromptBeginner5 minmarkdown

- Use `stop()`

`warning()`

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General
PromptBeginner5 minmarkdown

- **misc-utilities.md** — Read when: do.call behaves differently than direct call

need Reduce/Filter/Map

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General
PromptBeginner5 minmarkdown

- **dates-and-system.md** — Read when: Date/POSIXct conversion gives wrong day

time zones cause off-by-one

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Data
PromptBeginner5 minmarkdown

- **io-and-text.md** — Read when: read.table silently drops data or misparses columns

regex behaves differently than expected

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Data
PromptBeginner5 minmarkdown

- **visualization.md** — Read when: par settings reset unexpectedly

layout/mfrow interaction is confusing

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Data
PromptBeginner5 minmarkdown

- **statistics.md** — Read when: hypothesis test gives surprising result

need to choose correct p.adjust method

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General
PromptBeginner5 minmarkdown

- **modeling.md** — Read when: formula syntax is confusing (`I()`

`*` vs `:`

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Data
PromptBeginner5 minmarkdown

- **data-wrangling.md** — Read when: subsetting returns wrong type

apply on data frame gives unexpected coercion

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General
PromptBeginner5 minmarkdown

For deeper coverage

read the reference files in `references/`:

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General
PromptBeginner5 minmarkdown

Non-obvious behaviors

surprising defaults

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General
PromptBeginner5 minmarkdown

labels = c(low

med

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General
PromptBeginner5 minmarkdown

df$category <- cut(df$value

breaks = c(0

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General
PromptBeginner5 minmarkdown

rbind(df1

df2) # stack rows (same columns)

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General
PromptBeginner5 minmarkdown

cbind(df1

df2) # bind columns (same rows)

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General
PromptBeginner5 minmarkdown

df[!duplicated(df$id)

]

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General
PromptBeginner5 minmarkdown

df[!duplicated(df)

]

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General
PromptBeginner5 minmarkdown

df[order(df$group

-df$value)

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General
PromptBeginner5 minmarkdown

df[order(-df$value)

] # descending

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General
PromptBeginner5 minmarkdown

df[order(df$value)

] # ascending

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General
PromptBeginner5 minmarkdown

varying = list(c(v1

v2))

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General
PromptBeginner5 minmarkdown

idvar = id

timevar = time

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General
PromptBeginner5 minmarkdown

wide <- reshape(long

direction = wide

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