R: Relational Operators

Comparison {base} | R Documentation

## Relational Operators

### Description

Binary operators which allow the comparison of values in atomic vectors.

### Usage

    x < y
    x > y
    x <= y
    x >= y
    x == y
    x != y

### Arguments

`x, y` | atomic vectors, symbols, calls, or other objects for which methods have been written.

### Details

The binary comparison operators are generic functions: methods can be written for them individually or via the `Ops`) group generic function. (See `Ops` for how dispatch is computed.)

Comparison of strings in character vectors is lexicographic within the strings using the collating sequence of the locale in use: see `locales`. The collating sequence of locales such as en_US is normally different from C (which should use ASCII) and can be surprising. Beware of making any assumptions about the collation order: e.g. in Estonian `Z` comes between `S` and `T`, and collation is not necessarily character-by-character – in Danish `aa` sorts as a single letter, after `z`. In Welsh `ng` may or may not be a single sorting unit: if it is it follows `g`. Some platforms may not respect the locale and always sort in numerical order of the bytes in an 8-bit locale, or in Unicode point order for a UTF-8 locale (and may not sort in the same order for the same language in different character sets). Collation of non-letters (spaces, punctuation signs, hyphens, fractions and so on) is even more problematic.

Character strings can be compared with different marked encodings (see `Encoding`): they are translated to UTF-8 before comparison.

At least one of `x` and `y` must be an atomic vector, but if the other is a list R attempts to coerce it to the type of the atomic vector: this will succeed if the list is made up of elements of length one that can be coerced to the correct type.

If the two arguments are atomic vectors of different types, one is coerced to the type of the other, the (decreasing) order of precedence being character, complex, numeric, integer, logical and raw.

Missing values (`NA`) and `NaN` values are regarded as non-comparable even to themselves, so comparisons involving them will always result in `NA`. Missing values can also result when character strings are compared and one is not valid in the current collation locale.

Language objects such as symbols and calls are deparsed to character strings before comparison.

### Value

A logical vector indicating the result of the element by element comparison. The elements of shorter vectors are recycled as necessary.

Objects such as arrays or time-series can be compared this way provided they are conformable.

### S4 methods

These operators are members of the S4 `Compare` group generic, and so methods can be written for them individually as well as for the group generic (or the `Ops` group generic), with arguments `c(e1, e2)`.

### Note

Do not use `==` and `!=` for tests, such as in `if` expressions, where you must get a single `TRUE` or `FALSE`. Unless you are absolutely sure that nothing unusual can happen, you should use the `identical` function instead.

For numerical and complex values, remember `==` and `!=` do not allow for the finite representation of fractions, nor for rounding error. Using `all.equal` with `identical` is almost always preferable. See the examples.

### References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

Collation of character strings is a complex topic. For an introduction see http://en.wikipedia.org/wiki/Collating_sequence. The Unicode Collation Algorithm (http://unicode.org/reports/tr10/) is likely to be increasingly influential. Where available R makes use of ICU (http://site.icu-project.org/ for collation.

### See Also

`factor` for the behaviour with factor arguments.

`Syntax` for operator precedence.

`icuSetCollate` to tune the string collation algorithm when ICU is in use.

### Examples

    x <- stats::rnorm(20)
    x < 1
    x[x > 0]

    x1 <- 0.5 - 0.3
    x2 <- 0.3 - 0.1
    x1 == x2                           # FALSE on most machines
    identical(all.equal(x1, x2), TRUE) # TRUE everywhere

    # range of most 8-bit charsets, as well as of Latin-1 in Unicode
    z <- c(32:126, 160:255)
    x <- if(l10n_info()$MBCS) {
        intToUtf8(z, multiple = TRUE)
    } else rawToChar(as.raw(z), multiple= TRUE)
    ## by number
    writeLines(strwrap(paste(x, collapse=" "), width = 60))
    ## by locale collation
    writeLines(strwrap(paste(sort(x), collapse=" "), width = 60))

[Package base version 2.15.1 Index]