I’ve being using R (and Rstudio) for one year and now want to move to Julia (maybe with Jupyter or Beaker) because I need better speed. R was causing me a lot of problems when dealing with large dataset. What R features will I miss in Julia? In R I use quite a lot data.table, ggplot, lattice, lme…

I would say that rmarkdown and Jupyter are quite different. Weave.jl ( GitHub - JunoLab/Weave.jl: Scientific reports/literate programming for Julia ) is the “JuliaMarkdown” that closely resembles rmarkdown. Would be nice if it was integrated with Juno. : )

Wouldn’t that really only be a question of a button that could run weave, save to a temporary html file, then render that file to an Atom pane?

Seems so. Especially since the syntax highlighting is already implemented ( language-weave ). Very nice work from @mpastell and others!

There’s actually an open issue for this https://github.com/JunoLab/Juno.jl/issues/30

[image] traktofon: Actually, after #265 was fixed, I found the opposite to be true. The reason is that my modules usually contain type definitions, and when reloading/replacing a module in the REPL, any data which was defined using the types of the original module will go into an “orphaned type”…

Personally I find the whole workflow situation to be quite unsatisfying. I’ve been using Julia for 3 years and I’m still puzzled about the whole thing. Imagine explaining this to a new comer atom-julia-client/workflow.md at master · JunoLab/atom-julia-client · GitHub The fact that you need externa…

I’ve been writing my code in a package, and putting my exploratory code in runtests.jl, then just running Pkg.test("mypkg") over and over. It runs fresh every time, so I can change anything, it goes pretty fast for small package (it gets cumbersome eventually). I also end up with way better test cov…

i miss data type definitions from Haskell , i.e. data Foo = A Int | B Double | C Really, really, very useful, and of course even more so when you have “case” to go along with it. I expect I can get the same sort of functionality by using separate types and Union and typealias, but not nearly as …

[image] purplishrock: The good news is that even though julia doesn’t have “case” there is the match package which is quite nice ! For what it’s worth, “Julia has” and “there’s a package for” is pretty much the same in Julia, and that it a major strength. Practically nothing has to be in Base…

I’ve seen than Weave is not updated since three years ago. And the same happens with Judo.jl. Is there any alternative?

What features will I miss in Julia?

New to Julia

Juan November 19, 2018, 1:40pm 90

What about multiple imputation (fully conditional specification or any advanced method)?

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What features will I miss in Julia?

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