complex {base} | R Documentation

## Complex Vectors

### Description

Basic functions which support complex arithmetic in R.

### Usage

    complex(length.out = 0, real = numeric(), imaginary = numeric(),
            modulus = 1, argument = 0)
    as.complex(x, ...)
    is.complex(x)

    Re(z)
    Im(z)
    Mod(z)
    Arg(z)
    Conj(z)

### Arguments

`length.out` | numeric. Desired length of the output vector, inputs being recycled as needed.
`real` | numeric vector.
`imaginary` | numeric vector.
`modulus` | numeric vector.
`argument` | numeric vector.
`x` | an object, probably of mode `complex`.
`z` | an object of mode `complex`, or one of a class for which a methods has been defined.
`...` | further arguments passed to or from other methods.

### Details

Complex vectors can be created with `complex`. The vector can be specified either by giving its length, its real and imaginary parts, or modulus and argument. (Giving just the length generates a vector of complex zeroes.)

`as.complex` attempts to coerce its argument to be of complex type: like `as.vector` it strips attributes including names. All forms of `NA` and `NaN` are coerced to a complex `NA`, for which both the real and imaginary parts are `NA`.

Note that `is.complex` and `is.numeric` are never both `TRUE`.

The functions `Re`, `Im`, `Mod`, `Arg` and `Conj` have their usual interpretation as returning the real part, imaginary part, modulus, argument and complex conjugate for complex values. Modulus and argument are also called the polar coordinates. If z = x + i y with real x and y, for r = `Mod`(z) = sqrt{x^2 + y^2}, and phi = `Arg`(z), x = r*cos(phi) and y = r*sin(phi). They are all generic functions: methods can be defined for them individually or via the `Complex` group generic.

In addition, the elementary trigonometric, logarithmic and exponential functions are available for complex values.

### S4 methods

`as.complex` is primitive and can have S4 methods set.

`Re`, `Im`, `Mod`, `Arg` and `Conj` constitute the S4 group generic `Complex` and so S4 methods can be set for them individually or via the group generic.

### References

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

### Examples

    require(graphics)

    0i ^ (-3:3)

    matrix(1i^ (-6:5), nrow=4) #- all columns are the same
    0 ^ 1i # a complex NaN

    ## create a complex normal vector
    z <- complex(real = stats::rnorm(100), imaginary = stats::rnorm(100))
    ## or also (less efficiently):
    z2 <- 1:2 + 1i*(8:9)

    ## The Arg(.) is an angle:
    zz <- (rep(1:4,len=9) + 1i*(9:1))/10
    zz.shift <- complex(modulus = Mod(zz), argument= Arg(zz) + pi)
    plot(zz, xlim=c(-1,1), ylim=c(-1,1), col="red", asp = 1,
         main = expression(paste("Rotation by "," ", pi == 180^o)))
    abline(h=0,v=0, col="blue", lty=3)
    points(zz.shift, col="orange")

[Package base version 2.6.2 Index]