I’m new to Julia, and have been using R previously. Could I ask if there’s an equivalent package in Julia to the package,
prob in R.
prob to learn basic probability and have a lot of code that uses it. Or, alternatively should I use
RCall, or try to port the package over to R - that would be hard because I’m new to Julia.
Thanks a lot, Aj
I would actually think this would be a great way to learn the language. It shouldn’t be too difficult, and it gives you concrete problems with known solutions to try and tackle. I wouldn’t try “porting” either: I’d just remake the same functionality without looking at their internals.
I think many of the necessary pieces for such a package exist in
Distributions.jl but is probably organized differently than the
Great, thanks for the quick reply! I’ll try to implement the functions I need.
prob package at it’s most basic level only uses
data.frames i.e. probability tables, and
set operations, it’s got no parametric distributions. It’s very, very simple really
Looks like a fun little project. Some tips to get your started as you are new: check out
PkgDev.jl to make a nice package layout. And then you will want
StatsBase.jl to get combinations/permuations as well as sampling with and without replacement. You might also want to check out
Cards.jl once 0.6 is out to get a nice datastructure for the cards examples! Good luck!
Okay this got me thinking … for the
toss_coin function is there a more straightforward way of doing this than
toss_coin(n::Int) = collect(product(fill((:H, :T), n)...))
The program is meant to give all the possible outcomes from toss a coin
n times. I think R uses the
expand.grid function. For some reason the above feels clunky to me.
Its a great case for chaining:
toss_coin(n::Int) = begin
Thanks a lot for the kind encouragement , and the pointers to useful packages already in Julia.
The two functions in the
R package that I always need are,
probspace to setup the probability space, and
subset to partition/slice up the probability table.
Once I’ve done those two - it should be OK to do most of the examples in the vignette
Kind of a cool package, like the Mathematica like argument syntax … though I am still not sure I love this way of making the outcome, even if it has a cleaner layout with your version.
Here’s also a fun package in Haskell,
and here’s a children’s guide to learning Haskell,
which is a lot of fun to learn both probability and programming from