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124,542 skills indexed with the new KISS metadata standard.

Showing 24 of 124,542Categories: Operations & Workflow, Coding & Debugging, General
General
PromptBeginner5 minmarkdownQuality: 24

- `Map(f

...) is a simple wrapper for mapply(f

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General
PromptBeginner5 minmarkdownQuality: 24

- `Filter(f

x) keeps elements where f(elem) is TRUE. Unlike x[sapply(x

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General
PromptBeginner5 minmarkdownQuality: 24

- `Reduce(f

x

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General
PromptBeginner5 minmarkdownQuality: 24

- `Reduce(f

x

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General
PromptBeginner5 minmarkdownQuality: 24

- `Reduce(f

x) applies binary function f cumulatively: Reduce(+

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General
PromptBeginner5 minmarkdownQuality: 24

- `do.call(fun

args_list) — args` must be a list

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General
PromptBeginner5 minmarkdownQuality: 24

Non-obvious behaviors

gotchas

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General
PromptBeginner5 minmarkdownQuality: 24

- Use stop()

warning()

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General
PromptBeginner5 minmarkdownQuality: 24

- `with(df

expr) avoids repeating df$` everywhere

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General
PromptBeginner5 minmarkdownQuality: 28

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

need Reduce/Filter/Map

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General
PromptBeginner5 minmarkdownQuality: 28

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

time zones cause off-by-one

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General
PromptBeginner5 minmarkdownQuality: 24

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

* vs :

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General
PromptBeginner5 minmarkdownQuality: 24

For deeper coverage

read the reference files in references/:

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General
PromptBeginner5 minmarkdownQuality: 24

Non-obvious behaviors

surprising defaults

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General
PromptBeginner5 minmarkdownQuality: 24

labels = c(low

med

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General
PromptBeginner5 minmarkdownQuality: 24

cbind(df1

df2) # bind columns (same rows)

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General
PromptBeginner5 minmarkdownQuality: 24

df$category <- cut(df$value

breaks = c(0

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General
PromptBeginner5 minmarkdownQuality: 24

rbind(df1

df2) # stack rows (same columns)

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General
PromptBeginner5 minmarkdownQuality: 24

df[!duplicated(df$id)

]

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General
PromptBeginner5 minmarkdownQuality: 24

df[!duplicated(df)

]

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General
PromptBeginner5 minmarkdownQuality: 24

df[order(df$group

-df$value)

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General
PromptBeginner5 minmarkdownQuality: 24

varying = list(c(v1

v2))

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General
PromptBeginner5 minmarkdownQuality: 24

df[order(-df$value)

] # descending

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General
PromptBeginner5 minmarkdownQuality: 24

df[order(df$value)

] # ascending

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