expect_equivalent() for categorical data

[AmeliaMN]

I know you are using base functions like all.equal() to do the underlying checks, but it would be nice to have a way to check levels in factor variables without getting the ordering precisely right. See https://github.com/dsscollection/factor-mgmt/blob/master/analysis/working_with_factors.Rnw#L394 for an example of what I'm talking about. In essence, I wish that I could run

expect_equivalent(c("Male", "Female"), c("Female", "Male")) 

and get a TRUE.
Maybe this is something more appropriate for https://github.com/hadley/forcats ?

cc @nicholasjhorton

[nicholasjhorton]

I would think that:

expect_equivalent(c("Male", "Female"), c("Female", "Male"))

should return TRUE but

expect_equal(c("Male", "Female"), c("Female", "Male"))

should return FALSE

On Sep 15, 2016, at 2:45 PM, Amelia McNamara notifications@github.com wrote:

I know you are using base functions like all.equal() to do the underlying checks, but it would be nice to have a way to check levels in factor variables without getting the ordering precisely right. See https://github.com/dsscollection/factor-mgmt/blob/master/analysis/working_with_factors.Rnw#L394 for an example of what I'm talking about. In essence, I wish that I could run

expect_equivalent(c("Male", "Female"), c("Female", "Male"))

and get a TRUE.
Maybe this is something more appropriate for https://github.com/hadley/forcats ?

cc @nicholasjhorton

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Nicholas Horton
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Amherst, MA 01002-5000

[hadley]

Maybe expect_setequal() that would use setequal() under the hood?

I'm unlikely to implement this myself, but I'd be happy to review a PR.