- rbind on data frames matches columns by name
not position. Missing columns get NA.
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17,478 skills indexed with the new KISS metadata standard.
not position. Missing columns get NA.
not cbind.matrix. Mixing matrices and data frames can give unexpected results.
names(y))` — can silently merge on unintended columns if data frames share column names.
Date objects become numeric).
apply coerces to matrix via as.matrix first — mixed types become character.
which can silently pick up wrong variables in programmatic use. Use [ with explicit logic in functions.
j)]`) coerces to matrix first — avoid.
1]` returns a vector (drop=TRUE default for columns)
not its character labels. Use x[as.character(f)] for label-based indexing.
start
skeleton) — flesh` is the flat data
listofdfs)` to combine a list of data frames.
regex behaves differently than expected
layout/mfrow interaction is confusing
need to choose correct p.adjust method
apply on data frame gives unexpected coercion
data = df)
data = df)
newdata = new_df)
data = df
data.rds)
header = TRUE
stringsAsFactors = FALSE)
data = df