Rich FitzJohn

:+1: - always a need for these! Another potential source of interesting and available datasets: public transport usage (e.g., [sydney](http://www.bts.nsw.gov.au/Statistics/Rail/default.aspx?FolderID=223)). Pretty sure there will be other transport nerds around.

If the data is too big for the package, we could instead ship scripts that download the packages into place (using github.com/hadley/rappdirs to keep things organised/platform independent). So we could...

Is that harder than ``` install.packages("amazing_data") amazing_data::fetch(c("domain1", "domain2")) ``` This approach would also have the advantage of keeping the git repo small and light.

If the data already have canonical sources, then presumably we don't need to re-host them? Though for small datasets (

Hi - I've been meaning to reply to this, but am a little confused here about what is missing. When we've been storing data from R into Redis, we typically...

Right - I think I'm starting to understand. How much of an issue your problem is depends a lot on how one is using Redis/redux. If you're in control of...

Not at present - here's the heuristic: https://github.com/richfitz/redux/blob/master/src/conversions.c#L228-L255 This gets called from a a bunch of places as we build a list of redis replies (not everything is as simple...

Can you have a look at #61, which adds control over conversion at the lower-level interface. You should be able to see the real-world performance impact of this in your...

1. The default is auto - that was a typo in the PR comment which I've fixed 2. There was a change uncommitted which fixes `$command()`, so that should work...

I started a direct port of os.path and will push that up to gh - it's mostly just going to be grunt work to get all the bits filled in,...