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Feature Extraction from Grouped Data. Tutorial:

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Added use case for global annual temperature

If we have many features, it would be helpful if multiple feature functions could be added at once as a vector or list. ```r fun_vec = c(fun1, fun2) xtractor$add_feature(fun_vec) ```

enhancement

It looks like that debugging isn't as expected. The code from #36 and calling `browser()` have an empty environment. But this also may depend on dplyr... :disappointed:

Is it possible to have a list as element of the result? This does not work for me: ``` library(fxtract) iris$id = paste0(iris$Sepal.Length, iris$Species) aggregate = function(data) { a =...

This would be nice, especially for unlinking etc. Something like: ``` xtractor$dir ```

``` xtractor = Xtractor$new("averaging_iters", load = TRUE) #> Error in .subset2(public_bind_env, "initialize")(...) : #> Assertion on 'name' failed: Must be a subset of the empty set, i.e. also empty. ```