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Merge branch 'master' of ../StatsBase into StatsBase
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‎.codecov.yml‎

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comment: off

‎.gitignore‎

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docs/build
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docs/site
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perf/*.csv
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Manifest.toml

‎.travis.yml‎

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language: julia
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os:
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- linux
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- osx
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julia:
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- 0.7
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- 1.0
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- nightly
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notifications:
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email: false
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# Work around a Travis bug
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git:
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depth: 999999
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# Uncomment the following lines to override the default test script
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#script:
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# - if [[ -a .git/shallow ]]; then git fetch --unshallow; fi
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# - julia -e 'Pkg.clone(pwd()); Pkg.build("StatsBase"); Pkg.test("StatsBase"; coverage=true)'
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after_success:
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- julia -e 'using Pkg; Pkg.add("Coverage"); using Coverage; Coveralls.submit(process_folder()); Codecov.submit(process_folder())';
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jobs:
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include:
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- stage: "Documentation"
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julia: 1.0
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os: linux
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script:
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- julia --project=docs/ -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd()));
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Pkg.instantiate()'
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- julia --project=docs/ docs/make.jl
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after_success: skip
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‎README.md‎

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## StatsBase.jl
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*StatsBase.jl* is a Julia package that provides basic support for statistics. Particularly, it implements a variety of statistics-related functions, such as scalar statistics, high-order moment computation, counting, ranking, covariances, sampling, and empirical density estimation.
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- **Current Release**:
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[![StatsBase](http://pkg.julialang.org/badges/StatsBase_0.5.svg)](http://pkg.julialang.org/?pkg=StatsBase)
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[![StatsBase](http://pkg.julialang.org/badges/StatsBase_0.6.svg)](http://pkg.julialang.org/?pkg=StatsBase)
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- **Build & Testing Status:**
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[![Build Status](https://travis-ci.org/JuliaStats/StatsBase.jl.svg?branch=master)](https://travis-ci.org/JuliaStats/StatsBase.jl)
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[![Build status](https://ci.appveyor.com/api/projects/status/fsut3j3onulvws1w?svg=true)](https://ci.appveyor.com/project/nalimilan/statsbase-jl)
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[![Coverage Status](https://coveralls.io/repos/JuliaStats/StatsBase.jl/badge.svg?branch=master)](https://coveralls.io/r/JuliaStats/StatsBase.jl?branch=master)
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[![Coverage Status](http://codecov.io/github/JuliaStats/StatsBase.jl/coverage.svg?branch=master)](http://codecov.io/github/JuliaStats/StatsBase.jl?branch=master)
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- **Documentation**: [![][docs-stable-img]][docs-stable-url] [![][docs-latest-img]][docs-latest-url]
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[docs-latest-img]: https://img.shields.io/badge/docs-latest-blue.svg
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[docs-latest-url]: http://JuliaStats.github.io/StatsBase.jl/latest/
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[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg
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[docs-stable-url]: http://JuliaStats.github.io/StatsBase.jl/stable/

‎appveyor.yml‎

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environment:
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matrix:
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- julia_version: 0.7
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- julia_version: 1.0
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- julia_version: nightly
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platform:
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- x86 # 32-bit
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- x64 # 64-bit
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# Uncomment the following lines to allow failures on nightly julia
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# (tests will run but not make your overall status red)
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matrix:
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allow_failures:
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- julia_version: nightly
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branches:
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only:
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- master
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- /release-.*/
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notifications:
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- provider: Email
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on_build_success: false
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on_build_failure: false
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on_build_status_changed: false
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install:
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- ps: iex ((new-object net.webclient).DownloadString("https://raw.githubusercontent.com/JuliaCI/Appveyor.jl/version-1/bin/install.ps1"))
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build_script:
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- echo "%JL_BUILD_SCRIPT%"
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- C:\julia\bin\julia -e "%JL_BUILD_SCRIPT%"
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test_script:
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- echo "%JL_TEST_SCRIPT%"
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- C:\julia\bin\julia -e "%JL_TEST_SCRIPT%"

‎docs/Project.toml‎

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[deps]
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Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
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[compat]
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Documenter = "~0.22"

‎docs/make.jl‎

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using Documenter, StatsBase, Statistics, Random
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# Workaround for JuliaLang/julia/pull/28625
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if Base.HOME_PROJECT[] !== nothing
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Base.HOME_PROJECT[] = abspath(Base.HOME_PROJECT[])
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end
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makedocs(
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sitename = "StatsBase.jl",
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modules = [StatsBase],
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pages = ["index.md",
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"weights.md",
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"means.md",
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"scalarstats.md",
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"robust.md",
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"deviation.md",
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"cov.md",
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"counts.md",
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"ranking.md",
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"sampling.md",
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"empirical.md",
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"signalcorr.md",
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"multivariate.md",
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"misc.md",
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"statmodels.md",
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"transformations.md"]
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)
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deploydocs(
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repo = "github.com/JuliaStats/StatsBase.jl.git"
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)

‎docs/src/assets/logo.png‎

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‎docs/src/counts.md‎

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# Counting Functions
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The package provides functions to count the occurrences of distinct values.
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## Counting over an Integer Range
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```@docs
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counts
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proportions
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addcounts!(r::AbstractArray, x::StatsBase.IntegerArray, levels::StatsBase.IntUnitRange)
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```
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## Counting over arbitrary distinct values
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```@docs
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countmap
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proportionmap
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addcounts!{T}(cm::Dict{T}, x::AbstractArray{T})
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```

‎docs/src/cov.md‎

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# Scatter Matrix and Covariance
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This package implements functions for computing scatter matrix, as well as weighted covariance matrix.
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```@docs
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scattermat
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cov
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cov(::CovarianceEstimator, ::AbstractVector)
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cov(::CovarianceEstimator, ::AbstractVector, ::AbstractVector)
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cov(::CovarianceEstimator, ::AbstractMatrix)
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cor
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mean_and_cov
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cov2cor
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cor2cov
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CovarianceEstimator
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SimpleCovariance
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```

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