setorder {data.table} | R Documentation

## Fast row reordering of a data.table by reference

### Description

In `data.table` parlance, all `set*` functions change their input by reference. That is, no copy is made at all, other than temporary working memory, which is as large as one column.. The only other `data.table` operator that modifies input by reference is `:=`. Check out the `See Also` section below for other `set*` function `data.table` provides.

`setorder` (and `setorderv`) reorders the rows of a `data.table` based on the columns (and column order) provided. It reorders the table by reference and is therefore very memory efficient.

Also `x[order(.)]` is now optimised internally to use data.table's fast order by default. data.table always reorders in C-locale. To sort by session locale, use `x[base::order(.)]` instead.

`bit64::integer64` type is also supported for reordering rows of a `data.table`.

### Usage

    setorder(x, ..., na.last=FALSE)
    setorderv(x, cols, order=1L, na.last=FALSE)
    # optimised to use data.table's internal fast order
    # x[order(., na.last=TRUE)]

### Arguments

`x` | A `data.table`.
`...` | The columns to sort by. Do not quote column names. If `...` is missing (ex: `setorder(x)`), `x` is rearranged based on all columns in ascending order by default. To sort by a column in descending order prefix a `"-"`, i.e., `setorder(x, a, -b, c)`. The `-b` works when `b` is of type `character` as well.
`cols` | A character vector of column names of `x`, to which to order by. Do not add `"-"` here. Use `order` argument instead.
`order` | An integer vector with only possible values of `1` and `-1`, corresponding to ascending and descending order. The length of `order` must be either `1` or equal to that of `cols`. If `length(order) == 1`, it's recycled to `length(cols)`.
`na.last` | logical. If `TRUE`, missing values in the data are placed last; if `FALSE`, they are placed first; if `NA` they are removed. `na.last=NA` is valid only for `x[order(., na.last)]` and it's default is `TRUE`. `setorder` and `setorderv` only accept TRUE/FALSE with default `FALSE`.

### Details

`data.table` implements fast radix based ordering. In versions <= 1.9.2, it was only capable of increasing order (ascending). From 1.9.4 on, the functionality has been extended to decreasing order (descending) as well.

`setorder` accepts unquoted column names (with names preceded with a `-` sign for descending order) and reorders data.table rows by reference, for e.g., `setorder(x, a, -b, c)`. Note that `-b` also works with columns of type `character` unlike `base::order`, which requires `-xtfrm(y)` instead (which is slow). `setorderv` in turn accepts a character vector of column names and an integer vector of column order separately.

Note that `setkey` still requires and will always sort only in ascending order, and is different from `setorder` in that it additionally sets the `sorted` attribute.

`na.last` argument, by default, is `FALSE` for `setorder` and `setorderv` to be consistent with `data.table`'s `setkey` and is `TRUE` for `x[order(.)]` to be consistent with `base::order`. Only `x[order(.)]` can have `na.last = NA` as it's a subset operation as opposed to `setorder` or `setorderv` which reorders the data.table by reference.

If `setorder` results in reordering of the rows of a keyed `data.table`, then it's key will be set to `NULL`.

### Value

The input is modified by reference, and returned (invisibly) so it can be used in compound statements; e.g., `setorder(DT,a,-b)[, cumsum(c), by=list(a,b)]`. If you require a copy, take a copy first (using `DT2 = copy(DT)`). See `?copy`.

### See Also

`setkey`, `setcolorder`, `setattr`, `setnames`, `set`, `:=`, `setDT`, `setDF`, `copy`, `setNumericRounding`

### Examples

    set.seed(45L)
    DT = data.table(A=sample(3, 10, TRUE),
             B=sample(letters[1:3], 10, TRUE), C=sample(10))

    # setorder
    setorder(DT, A, -B)

    # same as above, but using setorderv
    setorderv(DT, c("A", "B"), c(1, -1))

[Package data.table version 1.10.0 Index]