Factor-class {S4Vectors} | R Documentation

## Factor objects

### Description

The Factor class serves a similar role as factor in base R (a.k.a. ordinary factor) except that the levels of a Factor object can be any vector-like object, that is, they can be an ordinary vector or a Vector derivative, or even an ordinary factor or another Factor object.

A notable difference with ordinary factors is that Factor objects cannot contain `NA`s, at least for now.

### Usage

    Factor(x, levels, index=NULL, ...)  # constructor function

### Arguments

`x, levels` | At least one of `x` and `levels` must be specified. If `index` is `NULL`, both can be specified. When `levels` is specified, it must be a vector-like object (see above) with no duplicates (i.e. `anyDuplicated(levels)` must return 0). When `x` and `levels` are both specified, they should typically have the same class (or, at least, `match(x, levels)` must work on them), and all the elements in `x` must be represented in `levels` (i.e. the integer vector returned by `match(x, levels)` should contain no `NA`s). See Details section below.
`index` | `NULL` or an integer (or numeric) vector of valid positive indices (no `NA`s) into `levels`. See Details section below.
`...` | Optional metadata columns.

### Details

There are 4 different ways to use the `Factor()` constructor function:

1. `Factor(x, levels)` (i.e. `index` is missing): In this case `match(x, levels)` is used internally to encode `x` as a Factor object. An error is returned if some elements in `x` cannot be matched to `levels` so it's important to make sure that all the elements in `x` are represented in `levels` when doing `Factor(x, levels)`.

2. `Factor(x)` (i.e. `levels` and `index` are missing): This is equivalent to `Factor(x, levels=unique(x))`.

3. `Factor(levels=levels, index=index)` (i.e. `x` is missing): In this case the encoding of the Factor object is supplied via `index`, that is, `index` must be an integer (or numeric) vector of valid positive indices (no `NA`s) into `levels`. This is the most efficient way to construct a Factor object.

4. `Factor(levels=levels)` (i.e. `x` and `index` are missing): This is a convenient way to construct a 0-length Factor object with the specified levels. In other words, it's equivalent to `Factor(levels=levels, index=integer(0))`.

### Value

A Factor object.

### Accessors

Factor objects support the same set of accessors as ordinary factors. That is:

- `length(x)` to get the length of Factor object `x`.

- `names(x)` and `names(x) <- value` to get and set the names of Factor object `x`.

- `levels(x)` and `levels(x) <- value` to get and set the levels of Factor object `x`.

- `nlevels(x)` to get the number of levels of Factor object `x`.

- `as.integer(x)` to get the encoding of Factor object `x`. Note that `length(as.integer(x))` and `names(as.integer(x))` are the same as `length(x)` and `names(x)`, respectively.

In addition, because Factor objects are Vector derivatives, they support the `mcols()` and `metadata()` getters and setters.

### Decoding a Factor

`unfactor(x)` can be used to decode Factor object `x`. It returns an object of the same class as `levels(x)` and same length as `x`. Note that it is the analog of `as.character()` on ordinary factors, with the notable difference that `unfactor(x)` propagates the names on `x`.

For convenience, `unfactor(x)` also works on ordinary factor `x`.

`unfactor()` supports extra arguments `use.names` and `ignore.mcols` to control whether the names and metadata columns on the Factor object to decode should be propagated or not. By default they are propagated, that is, the default values for `use.names` and `ignore.mcols` are `TRUE` and `FALSE`, respectively.

### Coercion

From vector or Vector to Factor: coercion of a vector-like object `x` to Factor is supported via `as(x, "Factor")` and is equivalent to `Factor(x)`. There are 2 IMPORTANT EXCEPTIONS to this:

1. If `x` is an ordinary factor, `as(x, "Factor")` returns a Factor with the same levels, encoding, and names, as `x`. Note that after coercing an ordinary factor to Factor, going back to factor again (with `as.factor()`) restores the original object with no loss.

2. If `x` is a Factor object, `as(x, "Factor")` is either a no-op (when `x` is a Factor instance), or a demotion to Factor (when `x` is a Factor derivative like GRangesFactor).

From Factor to integer: `as.integer(x)` is supported on Factor object `x` and returns its encoding (see Accessors section above).

From Factor to factor: `as.factor(x)` is supported on Factor object `x` and returns an ordinary factor where the levels are `as.character(levels(x))`.

From Factor to character: `as.character(x)` is supported on Factor object `x` and is equivalent to `unfactor(as.factor(x))`, which is also equivalent to `as.character(unfactor(x))`.

### Subsetting

A Factor object can be subsetted with `[`, like an ordinary factor.

### Concatenation

2 or more Factor objects can be concatenated with `c()`. Note that, unlike with ordinary factors, `c()` on Factor objects preserves the class i.e. it returns a Factor object. In other words, `c()` acts as an endomorphism on Factor objects.

The levels of `c(x, y)` are obtained by appending to `levels(x)` the levels in `levels(y)` that are "new" i.e. that are not already in `levels(x)`.

`append()`, which is implemented on top of `c()`, also works on Factor objects.

### Comparing & Ordering

Comparing (e.g. `==`, `!=`, `<=`, `<`, `match()`) and ordering (e.g. `order()`, `sort()`, `rank()`) Factor objects is supported and behave like on the unfactored objects.

For example `F1 <= F2`, `match(F1, F2)`, and `sort(F1)`, are equivalent to `unfactor(F1) <= unfactor(F2)`, `match(unfactor(F1), unfactor(F2))`, and `sort(unfactor(F1))`, respectively.

### Author(s)

Hervé Pagès, with contributions from Aaron Lun

### See Also

- factor in base R.

- GRangesFactor objects in the GenomicRanges package.

- IRanges objects in the IRanges package.

- Vector objects for the parent class.

- `anyDuplicated` in the BiocGenerics package.

### Examples

    showClass("Factor")  # Factor extends Vector

    ## ---------------------------------------------------------------------
    ## CONSTRUCTOR & ACCESSORS
    ## ---------------------------------------------------------------------
    library(IRanges)
    set.seed(123)
    ir0 <- IRanges(sample(5, 8, replace=TRUE), width=10,
                   names=letters[1:8], ID=paste0("ID", 1:8))

    ## Use explicit levels:
    ir1 <- IRanges(1:6, width=10)
    F1 <- Factor(ir0, levels=ir1)
    F1
    length(F1)
    names(F1)
    levels(F1)  # ir1
    nlevels(F1)
    as.integer(F1)  # encoding

    ## If we don't specify the levels, they'll be set to unique(ir0):
    F2 <- Factor(ir0)
    F2
    length(F2)
    names(F2)
    levels(F2)  # unique(ir0)
    nlevels(F2)
    as.integer(F2)

    ## ---------------------------------------------------------------------
    ## DECODING
    ## ---------------------------------------------------------------------
    unfactor(F1)

    stopifnot(identical(ir0, unfactor(F1)))
    stopifnot(identical(ir0, unfactor(F2)))

    unfactor(F1, use.names=FALSE)
    unfactor(F1, ignore.mcols=TRUE)

    ## ---------------------------------------------------------------------
    ## COERCION
    ## ---------------------------------------------------------------------
    F2b <- as(ir0, "Factor")  # same as Factor(ir0)
    stopifnot(identical(F2, F2b))

    as.factor(F2)
    as.factor(F1)

    as.character(F1)  # same as unfactor(as.factor(F1)),
                      # and also same as as.character(unfactor(F1))

    ## On an ordinary factor 'f', 'as(f, "Factor")' and 'Factor(f)' are
    ## NOT the same:
    f <- factor(sample(letters, 500, replace=TRUE), levels=letters)
    as(f, "Factor")  # same levels as 'f'
    Factor(f)        # levels **are** 'f'!

    stopifnot(identical(f, as.factor(as(f, "Factor"))))

    ## ---------------------------------------------------------------------
    ## CONCATENATION
    ## ---------------------------------------------------------------------
    ir3 <- IRanges(c(5, 2, 8:6), width=10)
    F3 <- Factor(levels=ir3, index=2:4)
    F13 <- c(F1, F3)
    F13
    levels(F13)

    stopifnot(identical(c(unfactor(F1), unfactor(F3)), unfactor(F13)))

    ## ---------------------------------------------------------------------
    ## COMPARING & ORDERING
    ## ---------------------------------------------------------------------
    F1 == F2   # same as unfactor(F1) == unfactor(F2)

    order(F1)  # same as order(unfactor(F1))
    order(F2)  # same as order(unfactor(F2))

    ## The levels of the Factor influence the order of the table:
    table(F1)
    table(F2)

[Package S4Vectors version 0.25.15 Index]