markvanderloo
commented
7 years ago Thanks :-).
I have never imputed an image, but it is an interesting idea. This package assumes that variables are columns and cases are rows. Also, missings must be represented as NA. If you can represent the image as one or more columns, (RGB, hex codes) it could work. Perhaps a sequential hotdeck would be suitable. That would amount to imputing the neighboring pixel (which neighbor depending on how the image is unrolled to a vector).
Now that I think of it, if the image is represented as one or more matrices you could stick that in a data.frame , each column containing one matrx. I think that impute_shd() for sequential hot deck would work. Not really what I had in mind when I wrote this package, and I would have to test it but I don't see why it wouldn't work in principle.
jennybc
njtierney
I need to teach imputation soon and am happy to have found this package!
I've been trying to think up a very simple, compelling, and visual example to work through and someone suggested working with an image, where certain pixels are missing.
Have you ever done that (or seen a nice example somewhere)? Even better, using this package?
If not, do you have a hunch whether this will work out nicely? Is it clear to you in advance that this is either a great or terrible idea? Thanks for any wisdom.