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After seeing @WardBrian's comment here: #317 (comment)
it occurred to me to check our support for complex numbers. It appears none of the existing formats support them.
Support for converting complex numbers that are encoded as arrays with a dimension that has a "real" and "complex" component would be straightforward if our underlying types worked with R's complex number data type; e.g. given a variable like this:
> cbind(real = rvar_rng(rnorm, 5), imag = rvar_rng(rnorm, 5, 1))
rvar<4000>[5,2] mean ± sd:
real imag
[1,] -0.0069 ± 1.01 0.9964 ± 1.02
[2,] -0.0093 ± 0.99 0.9854 ± 0.98
[3,] -0.0061 ± 1.02 0.9984 ± 0.99
[4,] 0.0301 ± 0.99 0.9650 ± 1.00
[5,] 0.0030 ± 1.00 0.9919 ± 0.99
The following would be an easy way to turn the above into a complex rvar backed by the base complex number data type if it wasn't generating a bunch of warnings:
> x = cbind(real = rvar_rng(rnorm, 5), imag = rvar_rng(rnorm, 5, 1))
> x[,"real"] + x[,"imag"] * rvar(1i)
rvar<4000>[5,1] mean ± sd:
real
[1,] -0.02+0.99i ± 1
[2,] 0.00+1.00i ± 1
[3,] 0.00+1.02i ± 1
[4,] 0.00+1.00i ± 1
[5,] 0.02+1.00i ± 1
Warning messages:
1: In var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm) :
imaginary parts discarded in coercion
2: In var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm) :
imaginary parts discarded in coercion
3: In var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm) :
imaginary parts discarded in coercion
4: In var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm) :
imaginary parts discarded in coercion
5: In var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm) :
imaginary parts discarded in coercion
The other draws types all exhibit similar issues. Should be solvable though I think.
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