- Returns columns named after the grouping variables
with result column keeping the original name.
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131,254 skills indexed with the new KISS metadata standard.
with result column keeping the original name.
result column is a **matrix column** inside the data frame.
data
but sort order is **locale-dependent** at creation time.
but earlier versions converted to integer.
`>`.
not original values. Use `as.numeric(levels(f))[f]` or `as.numeric(as.character(f))`.
but many operations will de-dup them silently.
not the first. Use `fromLast = TRUE` to reverse.
but only if exact multiple. Protect with `I()` to prevent conversion.
operates on whole rows. For lists
class table. Convert to data frame with `as.data.frame(tbl)`.
`rbind(NULL)` also returns `NULL`.
not position. Missing columns get `NA`.
interaction is used; levels containing `.` can cause unexpected splits unless `sep` is changed.
~ Month)`.
not `cbind.matrix`. Mixing matrices and data frames can give unexpected results.
so FUN should not expect additional args with same length as X.
adding a Row.names column.
names(y))` — can silently merge on unintended columns if data frames share column names.
`MARGIN`
matrix
Date objects become numeric).
result has dim `c(n