dmbates

Formula, ModelFrame and ModelMatrix types

In R, the functions for fitting statistical models based on a linear predictor usually allow for a formula/data specification of the model. The data part is a data.frame object in R. In Julia the corresponding type is a DataFrame as implemented in the DataFrames package.

A formula object in R is an expression whose top-level operator is a unary or binary tilde, ~. The interpretation of many operators, including +, *, ^, \ and : are overridden in the formula language. See the result of

?formula

in R for the details.

Chutes.jl

module Chutes

abstract Graph
abstract DGraph <: Graph
abstract UGraph <: Graph

typealias LabelType Dict{Int,Any}

type DenseGraph <: Graph
    mat :: Matrix{Uint8}

kjhealy

[
// Modified Sublime-REPL keybindings for an "R-friendly" set of shortcuts.
// Copy and paste this text into the Key Bindings - User (under Preferences menu).
// For more information, see http://tomschenkjr.net/2012/05/17/using-sublime-text-2-for-r/

// Executes a selection of text in REPL, latter only displays code and does not execute
{ "keys": ["super+shift+enter"], "command": "repl_transfer_current", "args": {"scope": "selection"}},

// I disabled this one
//{ "keys": ["super+shift+enter", "r"], "command": "repl_transfer_current", "args": {"scope": "selection", "action":"view_write"}},

simonbyrne

require("extras/distributions.jl")
require("slicesampler.jl")

import Distributions.*

macro buildslicesampler(model)
    # pull apart the model into variables and distributions 
    variables = Dict{Symbol,Expr}()
    unboundvars = Set{Symbol}()
    for line in model.args

simonbyrne

type DataFrame{N,D}
    data::D
end

immutable Field{s}
end

Field(s::Symbol) = Field{s}()

function DataFrame(;kwds...)

quinnj

Pkg.clone("https://github.com/quinnj/Mmap.jl")
Pkg.clone("https://github.com/quinnj/CSV.jl")
Pkg.add("ODBC")
Pkg.checkout("SQLite","jq/remodel")
Pkg.add("SQLite")
Pkg.checkout("SQLite","jq/updates")

reload("Mmap")
reload("CSV")

cscheid

# You should totally ignore this because it's the first piece of Julia I've ever written.
# 2-clause BSD, blah.

function make_cycle(n)
    result = Dict{Int32, Array{Int32}}()
    for i = 1:n
        ii = i - 1
        push!(result, i, [1 + ((i+n-2) % n), 1 + i % n])
    end
    result