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narrower lines in groupingsets.Rd #6544

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Sep 27, 2024
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narrower lines in groupingsets.Rd #6544

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27 changes: 16 additions & 11 deletions man/groupingsets.Rd
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Original file line number Diff line number Diff line change
Expand Up @@ -56,17 +56,22 @@ DT <- data.table(
)

# rollup
rollup(DT, j = sum(value), by = c("color","year","status")) # default id=FALSE
rollup(DT, j = sum(value), by = c("color","year","status"), id=TRUE)
rollup(DT, j = lapply(.SD, sum), by = c("color","year","status"), id=TRUE, .SDcols="value")
rollup(DT, j = c(list(count=.N), lapply(.SD, sum)), by = c("color","year","status"), id=TRUE)
rollup(DT, j = sum(value), by = c("color","year","status"),
label = list(color = "total", year = as.Date("3000-01-01"), status = factor("total"))) # specify label by variable name
rollup(DT, j = sum(value), by = c("color","year","status"),
label = list(color = "total", Date = as.Date("3000-01-01"), factor = factor("total"))) # specify label by variable name and first element of class
rollup(DT, j = sum(value), by = c("color","year","status"), label = "total") # label is character scalar so applies to color only
rollup(DT, j = .N, by = c("color","year","status","value"),
label = list(color = NA_character_, year = as.Date(NA), status = factor(NA), value = NaN)) # label can be explicitly specified as NA or NaN
by_vars = c("color", "year", "status")
rollup(DT, j=sum(value), by=by_vars) # default id=FALSE
rollup(DT, j=sum(value), by=by_vars, id=TRUE)
rollup(DT, j=lapply(.SD, sum), by=by_vars, id=TRUE, .SDcols="value")
rollup(DT, j=c(list(count=.N), lapply(.SD, sum)), by=by_vars, id=TRUE)
rollup(DT, j=sum(value), by=by_vars,
# specify label by variable name
label=list(color="total", year=as.Date("3000-01-01"), status=factor("total")))
rollup(DT, j=sum(value), by=by_vars,
# specify label by variable name and first element of class
label=list(color="total", Date=as.Date("3000-01-01"), factor=factor("total")))
# label is character scalar so applies to color only
rollup(DT, j=sum(value), by=by_vars, label="total")
rollup(DT, j=.N, by=c("color", "year", "status", "value"),
# label can be explicitly specified as NA or NaN
label = list(color=NA_character_, year=as.Date(NA), status=factor(NA), value=NaN))

# cube
cube(DT, j = sum(value), by = c("color","year","status"), id=TRUE)
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