frank {data.table} | R Documentation

## Fast rank

### Description

Similar to `base::rank` but much faster. And it accepts vectors, lists, data.frames or data.tables as input. In addition to the `ties.method` possibilities provided by `base::rank`, it also provides `ties.method="dense"`.

`bit64::integer64` type is also supported.

### Usage

    frank(x, ..., na.last=TRUE, ties.method=c("average",
      "first", "random", "max", "min", "dense"))

    frankv(x, cols=seq_along(x), order=1L, na.last=TRUE,
          ties.method=c("average", "first", "random",
            "max", "min", "dense"))

### Arguments

`x` | A vector, or list with all it's elements identical in length or data.frame or data.table.
`...` | Only for lists, data.frames and data.tables. The columns to calculate ranks based on. Do not quote column names. If ... is missing, all columns are considered by default. To sort by a column in descending order prefix a "-", e.g., frank(x, a, -b, c). The -b works when b is of type character as well.
`cols` | A character vector of column names (or numbers) of x, to which obtain ranks for.
`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` | Control treatment of `NA`s. If `TRUE`, missing values in the data are put last; if `FALSE`, they are put first; if `NA`, they are removed; if `"keep"` they are kept with rank `NA`.
`ties.method` | A character string specifying how ties are treated, see `Details`.

### Details

To be consistent with other `data.table` operations, `NA`s are considered identical to other `NA`s (and `NaN`s to other `NaN`s), unlike `base::rank`. Therefore, for `na.last=TRUE` and `na.last=FALSE`, `NA`s (and `NaN`s) are given identical ranks, unlike `rank`.

`frank` is not limited to vectors. It accepts data.tables (and lists and data.frames) as well. It accepts unquoted column names (with names preceded with a `-` sign for descending order, even on character vectors), for e.g., `frank(DT, a, -b, c, ties.method="first")` where `a,b,c` are columns in `DT`. The equivalent in `frankv` is the `order` argument.

In addition to the `ties.method` values possible using base's `rank`, it also provides another additional argument "dense" which returns the ranks without any gaps in the ranking. See examples.

### Value

A numeric vector of length equal to `NROW(x)` (unless `na.last = NA`, when missing values are removed). The vector is of integer type unless `ties.method = "average"` when it is of double type (irrespective of ties).

### See Also

`data.table`, `setkey`, `setorder`

### Examples

    # on vectors
    x = c(4, 1, 4, NA, 1, NA, 4)
    # NAs are considered identical (unlike base R)
    # default is average
    frankv(x) # na.last=TRUE
    frankv(x, na.last=FALSE)

    # ties.method = min
    frankv(x, ties.method="min")
    # ties.method = dense
    frankv(x, ties.method="dense")

    # on data.table
    DT = data.table(x, y=c(1, 1, 1, 0, NA, 0, 2))
    frankv(DT, cols="x") # same as frankv(x) from before
    frankv(DT, cols="x", na.last="keep")
    frankv(DT, cols="x", ties.method="dense", na.last=NA)
    frank(DT, x, ties.method="dense", na.last=NA) # equivalent of above using frank
    # on both columns
    frankv(DT, ties.method="first", na.last="keep")
    frank(DT, ties.method="first", na.last="keep") # equivalent of above using frank

    # order argument
    frank(DT, x, -y, ties.method="first")
    # equivalent of above using frankv
    frankv(DT, order=c(1L, -1L), ties.method="first")

[Package data.table version 1.10.4-1 Index]