With regards to arrays with named dimensions, I suspect that with the arrival of stagedfunctions, something like NamedAxesArrays (https://github.com/timholy/NamedAxesArrays.jl) may be a good choice. But stagedfunctions still have some show-stopper bugs, and we need to fix those first.
--Tim On Sunday, November 09, 2014 05:10:06 PM Milan Bouchet-Valat wrote: > Le dimanche 09 novembre 2014 à 07:52 -0800, David van Leeuwen a écrit : > > I would vote for calling such a function `table()`, to get even closer > > to R's table(). > > Well, that's the debate at > https://github.com/JuliaStats/StatsBase.jl/issues/32 > > At first I was in favor of table() too, but now I prefer freqtable(), > because "table" could mean any kind of cross-tabulation. I think > NamedArray could even be called Table. > > > And I can't wait for such functionality to be included in METADATA... > > Actually I didn't do it because NamedArrays.jl didn't work well on 0.3 > when I first worked on the package. Now I see the tests are still > failing. Do you know what is needed to make them work? > > Another point is that I think this deserves going into StatsBase, but > before that we need everybody to agree on a design for NamedArrays. > > Regards > > > On Sunday, November 9, 2014 4:26:45 PM UTC+1, Milan Bouchet-Valat > > > > wrote: > > Le jeudi 06 novembre 2014 à 11:17 -0800, Conrad Stack a > > > > écrit : > > > I was also looking for a function like this, but could not > > > find one in docs.julialang.org. I was doing this > > > (v0.4.0-dev), for anyone who is interested: > > > > > > > > > example = rand(1:10,100) > > > uexample = sort(unique(example)) > > > counts = map(x->count(y->x==y,example),uexample) > > > > > > > > > It's pretty ugly, so thanks, Johan, for pointing out the > > > StatsBase->countmap > > > > I've also put together a small package precisely aimed at > > offering an equivalent of R's table(): > > https://github.com/nalimilan/Tables.jl > > > > But there's a more general issue about how to handle arrays > > with dimension names in Julia. NamedArrays.jl (which is used > > in my package) attempts to tackle this issue, but I don't > > think we've reached a consensus yet about the best solution. > > > > > > Regards > > > > > On Sunday, August 17, 2014 9:56:29 AM UTC-4, Johan Sigfrids > > > > > > wrote: > > > I think countmap comes closest to giving you what > > > you want: > > > > > > using StatsBase > > > data = sample(["a", "b", "c"], 20) > > > countmap(data) > > > > > > Dict{ASCIIString,Int64} with 3 entries: > > > "c" => 3 > > > "b" => 10 > > > "a" => 7 > > > > > > On Sunday, August 17, 2014 4:45:21 PM UTC+3, Florian > > > > > > Oswald wrote: > > > Hi > > > > > > > > > I'm looking for the best way to count how > > > many times a certain value x_i appears in > > > vector x, where x could be integers, floats, > > > strings. In R I would do table(x). I found > > > StatsBase.counts(x,k) but I'm a bit confused > > > by k (where k goes into 1:k, i.e. the vector > > > is scanned to find how many elements locate > > > at each point of 1:k). most of the times I > > > don't know k, and in fact I would do > > > table(x) just to find out what k was. Apart > > > from that, I don't think I could use this > > > with strings, as I can't construct a range > > > object from strings. > > > > > > > > > I'm wondering whether a method > > > StatsBase.counts(x::Vector) just returning > > > the frequency of each element appearing > > > would be useful. > > > > > > > > > The same applies to Base.hist if I > > > understand correctly. I just don't want to > > > have to specify the edges of bins.
