Comments (2)
So far as teaching the way that factors are used in R
is concerned, I don't see the technical difference between "data type" and "data structure" being a major sticking point - I'm not sure novice learners worry about the difference.
I would have considered a factor to be composed of the numeric
(specifically, integer
) and character
data types and, as it is a specific implementation in R
, I'd consider it a data structure (labelled integer
), rather than an abstract data type.
Would I be wrong?
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I was with @jcoliver when he added the issue, and I think it's a reasonable point of confusion (I've always thought of a factor as a type instead of a structure), plus I've seen it both ways in online lists of "data types in R". But, according to R, it looks like you're right @widdowquinn:
> typeof(c("a", "a", "b"))
[1] "character"
> typeof(factor(c("a", "a", "b")))
[1] "integer"
> str(c("a", "a", "b"))
chr [1:3] "a" "a" "b"
> str(factor(c("a", "a", "b")))
Factor w/ 2 levels "a","b": 1 1 2
So perhaps should be left as-is. And I will update my thinking on factors!
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Related Issues (20)
- Update instructions on creating a self contained project
- Clarify instructions on how to navigate to RStudio project
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