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exercism
Exercism exercises in R.
Would it be best to assume that @jonmcalder is going to be too busy to engage much with this? I'm currently working with Bethany to add approaches to the Python...
Concept taxonomy was discussed in [issue #198](https://github.com/exercism/r/issues/198). This issue is about implementation, borrowing extensively from the earlier issue. A [tracking spreadsheet](https://docs.google.com/spreadsheets/d/1xW5WDL5Xp2yQ9ZFJY-oVj1c19kNkZLwCiSEjH1H2SGI/edit#gid=0) for Concepts and Concept Exercises is available. A flowchart...
Not the most important branch in the learning tree, but it is relatively small and simple.
Filtering/subsetting is another central concept in the R learning tree. This is an introduction restricted to vectors, but it needs to lay the foundations for dataframes, etc.
Second exercise for `vector-filtering`, after `elyses-analytic-enchantments`.
First exercise for the `vector-filtering` concept. I'm a bit conflicted about the concept name: filtering is probably clearer for a general audience, subsetting is maybe more technically correct. I've seen...
I tried to open this a few months ago during a hiatus. Reopening again 🤞🏽 https://github.com/exercism/r/pull/233 Going through this exercise I notice a fair bit of redundant testing. They loose...
Couple of issues with this one: - I'm not very happy about the name - I don't have an exercise to practice it Maybe a PR to just park here...
I've provisionally called this `errors`, but alternative names include `exceptions` or `conditions`. The corresponding exercise is `factory-sensors`. I've done most of that, but need to add a final part to...