Data
PromptBeginner5 minmarkdownQuality: 28
- cbind on data frames calls data.frame(...)
not cbind.matrix. Mixing matrices and data frames can give unexpected results.
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26,868 skills indexed with the new KISS metadata standard.
Showing 24 of 26,868Categories: Coding & Debugging, Data, Creative, Writing & Content
Data
PromptBeginner5 minmarkdownQuality: 28
- Default by is `intersect(names(x)
names(y))` — can silently merge on unintended columns if data frames share column names.
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Data
PromptBeginner5 minmarkdownQuality: 28
- Returns an array (not a data frame). Class info on return values is discarded (e.g.
Date objects become numeric).
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Data
PromptBeginner5 minmarkdownQuality: 28
- On a data frame
apply coerces to matrix via as.matrix first — mixed types become character.
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Data
PromptBeginner5 minmarkdownQuality: 28
- subset argument uses non-standard evaluation — column names are resolved in the data frame
which can silently pick up wrong variables in programmatic use. Use [ with explicit logic in functions.
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Data
PromptBeginner5 minmarkdownQuality: 24
- Matrix indexing a data frame (`df[cbind(i
j)]`) coerces to matrix first — avoid.
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Data
PromptBeginner5 minmarkdownQuality: 28
- Data frame [ with single column: `df[
1]` returns a vector (drop=TRUE default for columns)
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 28
- Factor indexing: x[f] uses integer codes of factor f
not its character labels. Use x[as.character(f)] for label-based indexing.
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Data
PromptBeginner5 minmarkdownQuality: 24
- `ts(data
start
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Data
PromptBeginner5 minmarkdownQuality: 24
- `relist(flesh
skeleton) — flesh` is the flat data
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Creative
PromptBeginner5 minmarkdownQuality: 28
- `tryCatch(expr
warning = function(w) {...}) catches the first warning and exits. Use withCallingHandlers + invokeRestart(muffleWarning)` to suppress warnings but continue.
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Creative
PromptBeginner5 minmarkdownQuality: 24
- Reduce with init adds a starting value: `Reduce(f
x
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Data
PromptBeginner5 minmarkdownQuality: 24
- Useful pattern: `do.call(rbind
listofdfs)` to combine a list of data frames.
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Data
PromptBeginner5 minmarkdownQuality: 28
- 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 minmarkdownQuality: 28
- visualization.md — Read when: par settings reset unexpectedly
layout/mfrow interaction is confusing
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Data
PromptBeginner5 minmarkdownQuality: 28
- statistics.md — Read when: hypothesis test gives surprising result
need to choose correct p.adjust method
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Data
PromptBeginner5 minmarkdownQuality: 28
- data-wrangling.md — Read when: subsetting returns wrong type
apply on data frame gives unexpected coercion
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Data
PromptBeginner5 minmarkdownQuality: 24
fit <- aov(value ~ group
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 24
predict(fit
newdata = new_df)
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Data
PromptBeginner5 minmarkdownQuality: 24
fit <- lm(y ~ x1 + x2
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 24
boxplot(value ~ group
data = df
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Data
PromptBeginner5 minmarkdownQuality: 24
saveRDS(obj
data.rds)
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Data
PromptBeginner5 minmarkdownQuality: 24
df <- read.csv(data.csv
stringsAsFactors = FALSE)
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Data
PromptBeginner5 minmarkdownQuality: 24
df <- read.table(data.txt
header = TRUE
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