Matthieu Gomez

That'd be great, thanks.

In my mind it would not change the number of rows. It would just compute the function using rows where none of the cols is missing (and return a missing...

Alternatively, it could apply the function on a view of columns no?

I understood your question as asking the desired behavior, not how to implement it with the current implementation of these functions in DataFrames. As for `combine(df, :x => identity, :y...

> Then for `combine` this can be the rule you propose and it is consistent. I understand that for `ByRow` you want `combine` to behave like `select` described below (i.e....

I think I would prefer a kwarg `skipmissing`, where true corresponds to dropmissing = true, and false corresponds to dropmissing = nothing. I am not sure it is worth introducing...

Yes. Personally, I prefer an argument that always have the same name (skipmissing), even if it has slightly different meanings in different contexts, rather than a different keyword argument everytime....

If the goal is to be able to make it easier to replace certain rows of a column if a condition is satisfied, I am not sure it is worth...

Right, I did not think about that . The ifelse pattern can only be used in transform for functions that are elementwise, not functions that compute reductions.

It's great you're thinking about how to make working with missing values easier! I 100% agree. A macro may be good. I'm not sure I'm convinced by an option at...