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Import StatsBase into Statistics #2

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Commits on Mar 29, 2014

  1. new API for function cov

    lindahua committed Mar 29, 2014
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  2. new API for cor

    lindahua committed Mar 29, 2014
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Commits on Mar 31, 2014

  1. eliminate StoredArray (fix #6212, #987); UniformScaling is no longer …

    …an AbstractArray (#5810)
    stevengj committed Mar 31, 2014
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Commits on Apr 1, 2014

  1. nearly finish OrdinalRange

    still not clear what to do with floating point in StepRange
    JeffBezanson committed Apr 1, 2014
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  2. allow constructing StepRange by length

    It turns out there are many cases that are drastically easier this way.
    Tests not passing yet, but getting there.
    JeffBezanson committed Apr 1, 2014
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Commits on Apr 8, 2014

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  2. Make histrange us the extrema function

    And add a simple test for hist()
    ivarne committed Apr 8, 2014
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Commits on Apr 11, 2014

  1. Change @test_throws to only check for a single exception type

    Also update test suite to follow suit
    staticfloat committed Apr 11, 2014
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  2. Change syntax to @test_throws ExceptionType Expression

    Also split out parseint loops in strings.jl to better separate out exception types
    staticfloat committed Apr 11, 2014
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Commits on Apr 16, 2014

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Commits on Apr 17, 2014

  1. Fix type stability

    IainNZ committed Apr 17, 2014
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Commits on Apr 27, 2014

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Commits on May 12, 2014

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Commits on May 22, 2014

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Commits on May 26, 2014

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  2. Rename varzm_pairwise -> sumabs2_pairwise

    Also some minor reorganization
    simonster committed May 26, 2014
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Commits on May 28, 2014

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Commits on May 29, 2014

  1. Tweaks to sum across dimensions

    - Implement sum(fn, A, region)
    - Implement Base.sumabs across dimensions
    - Use pairwise summation/BLAS for sums across first dimension
    simonster committed May 29, 2014
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Commits on Jun 7, 2014

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Commits on Jun 9, 2014

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  3. add @inbounds to sqrt!

    lindahua committed Jun 9, 2014
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Commits on Jun 10, 2014

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Commits on Jun 20, 2014

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Commits on Jul 2, 2014

  1. Simplify implementation of centralize_sumabs2

    Also fix a bounds violation when computing the variance of a vector
    with a single element
    simonster committed Jul 2, 2014
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Commits on Jul 3, 2014

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Commits on Aug 13, 2014

  1. make vcats explicit

    nolta committed Aug 13, 2014
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Commits on Aug 21, 2014

  1. Avoid Real overflow in middle

    kshramt committed Aug 21, 2014
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Commits on Sep 26, 2014

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Commits on Oct 6, 2014

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Commits on Oct 7, 2014

  1. Remove checknan option to median and update docs

    Fixes #8598, closes #8605, ref #6820
    simonster committed Oct 7, 2014
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Commits on Oct 23, 2014

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Commits on Nov 6, 2014

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Commits on Nov 17, 2014

  1. Document return type for middle(x)

    The special cases give the same result as the general rule, but are faster.
    Fix the docs and explain the rule as regards the result type.
    nalimilan committed Nov 17, 2014
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Commits on Nov 25, 2014

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Commits on Dec 8, 2014

  1. Merge pull request #8077 from kshramt/kshramt/overflow

    Avoid `Real` overflow in `middle`
    JeffBezanson committed Dec 8, 2014
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Commits on Jan 19, 2015

  1. Try and remove as many generic error() messages from base as possible

     * throw more specific Exception types
     * make error messages more consistent
     * give more context for the error when possible
     * update tests
    jakebolewski committed Jan 19, 2015
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Commits on Jan 27, 2015

  1. Add mapreducedim for DArrays.

    Export mapreducedim.
    
    Update documentation.
    andreasnoack committed Jan 27, 2015
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Commits on Feb 1, 2015

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Commits on Feb 3, 2015

  1. Use stagedfunctions instead of @ngenerate and @nsplat

    This commit tackles all files except multidimensional.jl
    timholy committed Feb 3, 2015
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Commits on Feb 9, 2015

  1. Merge branch 'master' into jcb/sanecat

    Conflicts:
    	base/LineEdit.jl
    	base/abstractarray.jl
    	base/array.jl
    	base/dates/periods.jl
    	base/inference.jl
    	base/io.jl
    	base/linalg/factorization.jl
    	base/linalg/triangular.jl
    	base/show.jl
    	base/string.jl
    	deps/libmojibake
    	src/julia-parser.scm
    	src/julia-syntax.scm
    	src/uv_constants.h
    	test/arrayops.jl
    	test/blas.jl
    	test/collections.jl
    	test/combinatorics.jl
    	test/core.jl
    	test/dates/conversions.jl
    	test/dates/ranges.jl
    	test/hashing.jl
    	test/linalg4.jl
    	test/math.jl
    	test/perf/sparse/perf.jl
    	test/random.jl
    	test/sorting.jl
    	test/statistics.jl
    	test/suitesparse.jl
    JeffBezanson committed Feb 9, 2015
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Commits on Feb 10, 2015

  1. Merge pull request #9884 from JuliaLang/anj/darrayops

    Add mapreducedim for DArrays
    andreasnoack committed Feb 10, 2015
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Commits on Feb 17, 2015

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Commits on Mar 8, 2015

  1. begin removing lowercase conversion functions (#1470)

    not quite done with renaming
    
    [ci skip]
    JeffBezanson committed Mar 8, 2015
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Commits on Mar 9, 2015

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Commits on Mar 10, 2015

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Commits on Mar 16, 2015

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Commits on Apr 19, 2015

  1. Change i=1:length(A) to i in eachindex(A)

    This fixes performance problems for many SubArray operations
    timholy committed Apr 19, 2015
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Commits on Apr 20, 2015

  1. Rename stagedfunction → @generated function

    This fixes the long-standing name "bug".  Note that it only affects surface syntax.  Internally, generated functions still use the old language (e.g., Expr(:stagedfunction, ...), isstaged, stagedcache, etc).
    
    This adds a temporary deprecation to the `stagedfunction` keyword -- the keyword should be entirely removed before the 0.4 release.
    mbauman committed Apr 20, 2015
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Commits on May 1, 2015

  1. adds_license_headers [skip ci]

    JuliaLang#11073 (comment)
    JuliaLang#11023
    
    Related pullrequests are:
    
    JuliaLang#11079
    JuliaLang#11084
    peter1000 committed May 1, 2015
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Commits on Jun 15, 2015

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Commits on Jul 6, 2015

  1. Test cases for mean handling NaN

    Test cases for the behavior of #6486
    juliangehring committed Jul 6, 2015
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Commits on Jul 14, 2015

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Commits on Jul 30, 2015

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  2. Tests for statistics

    kshyatt committed Jul 30, 2015
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Commits on Jul 31, 2015

  1. Merge pull request #12379 from JuliaLang/ksh/statstests

    Tests and a bugfix for statistics
    kshyatt committed Jul 31, 2015
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Commits on Aug 3, 2015

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Commits on Sep 28, 2015

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Commits on Oct 8, 2015

  1. Make cov and cor similar to mean and var by removing keyword arguments.

    This fixes #13081 and the type instability that motivated that issue.
    andreasnoack committed Oct 8, 2015
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Commits on Oct 9, 2015

  1. A few fixes of the deprecations of the keyword versions of cov and cor.

    Also make sure that all methods are tested.
    andreasnoack committed Oct 9, 2015
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Commits on Dec 16, 2015

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Commits on Feb 1, 2016

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Commits on Mar 19, 2016

  1. more general indexes (2)

    dfdx committed Mar 19, 2016
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Commits on Apr 15, 2016

  1. Remove some excess empty lines

    2 in a row is generally enough
    tkelman committed Apr 15, 2016
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Commits on Apr 21, 2016

  1. Deprecate binary functors

    Deprecate AndFun, OrFun, XorFun, AddFun, DotAddFun, SubFun, DotSubFun,
    MulFun, DotMulFun, RDivFun, DotRDivFun, LDivFun, IDivFun, DotIDivFun,
    ModFun, RemFun, DotRemFun, PowFun, MaxFun, MinFun, LessFun, MoreFun,
    DotLSFun, and DotRSFun.
    
    Rewrite specialization of BitArray map! to use function types and a
    helper type BitChunkFunctor for operations without a named function.
    martinholters committed Apr 21, 2016
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Commits on May 25, 2016

  1. Fixes numerical accuracy issues in quantile.

    Fixes issue JuliaStats/StatsBase.jl#164, and another when `p < eps()`.
    simonbyrne committed May 25, 2016
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  2. Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in …

    …/base/ (#16498)
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) for arrays.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/pkg/.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/linalg/.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/strings/.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/unicode/.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/grisu/.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/fft/.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/ for files starting b-e.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/docs/.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/ for files starting with f-i.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/dSFMT.jl, base/Enums.jl, and base/LineEdit.jl.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/ for files starting with l-m.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/ for files starting with p-r.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/ for files starting with s-t.
    
    * Replace deprecated Array(T..., dims...) with Array{T...}(dims...) in base/special/.
    
    * Additional changes from Array(T, dim) to Array{T}(dim).
    
    * Further changes.
    
    * fix constructors.rst
    pkofod authored and tkelman committed May 25, 2016
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Commits on May 26, 2016

  1. Merge pull request #16572 from JuliaLang/sb/quantile-acc

    Fixes numerical accuracy issues in quantile.
    andreasnoack committed May 26, 2016
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Commits on May 27, 2016

  1. deprecate histogram functionality (#16450)

    * deprecate histogram functionality
    
    * move hist exports to deprecated.jl
    
    * remove hist from tests
    
    * remove hist and friends from docs
    simonbyrne authored and tkelman committed May 27, 2016
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Commits on Jun 7, 2016

  1. remove varzm functions

    the external abi is to call var,
    the internal abi doesn' need to branch to alternative functions based on whether mean is given as zero
    that simply made the dispatch less straightforward to understand
    even though doing an exact comparison to 0 isn't generally reliable
    
    ref #6273, which initially introduced these functions as the public API, before changing them to be the internal implementation
    vtjnash committed Jun 7, 2016
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Commits on Jun 8, 2016

  1. RFC: Function argument to mean, akin to sum (#16691)

    * Added a function argument to mean
    
    * Test function argument to mean
    
    * Fixed tests and function call in fallback method
    
    * Fixed test to address issue
    
    * Changed == to === in tests
    
    * Addressed type instability in fallback method
    
    * Removed extra function call
    
    * Document mean(f::Function, v)
    
    * Moved the docs into a docstring
    ararslan authored and tkelman committed Jun 8, 2016
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  2. Merge pull request #16764 from JuliaLang/jn/notequal

    change identity comparisons to use isequal
    vtjnash committed Jun 8, 2016
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Commits on Jun 12, 2016

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Commits on Jun 27, 2016

  1. Make median non-mutating on arrays.

    Due to a change in the behaviour of `mapslices` (#16260), `median(X,k)` would mutate the underlying array. Fixes #17153.
    simonbyrne committed Jun 27, 2016
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Commits on Jun 28, 2016

  1. replace @test_approx_eq with ≈ (#17151)

    Also fix bug in hex2num, exposed due to ≈ not being broken like `@test_approx_eq`.
    StefanKarpinski authored Jun 28, 2016
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  2. Merge pull request #17154 from JuliaLang/sb/median-slice

    Make `median` non-mutating on arrays.
    JeffBezanson authored Jun 28, 2016
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Commits on Jul 4, 2016

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Commits on Jul 17, 2016

  1. Avoid that cor(x,x) != 1 by trading a sqrt for two / and use clamp to

    avoid that cor(x,y) > 1.
    
    Make sure that the loop vectorizes
    
    Convert corzm into corm to avoid allocation of tempraries.
    andreasnoack committed Jul 17, 2016
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Commits on Jul 18, 2016

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  4. Add test for Issue #17153 and PR #17154 (#17164)

    * Add test for Issue #17153 and PR #17154
    
    * Fix whitespaces
    ranjanan authored and tkelman committed Jul 18, 2016
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Commits on Jul 19, 2016

  1. Merge pull request #17228 from JuliaLang/teh/safe_size_length

    Make unvetted `size` throw an error for arrays with non-1 indexing
    timholy authored Jul 19, 2016
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Commits on Jul 23, 2016

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  2. Fixed per Jameson's comments

    ararslan committed Jul 23, 2016
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Commits on Jul 25, 2016

  1. Merge pull request #17464 from JuliaLang/anj/covzm

    Avoid that cor(x,x) != 1...
    simonbyrne authored Jul 25, 2016
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Commits on Aug 5, 2016

  1. Operations between Float16 and Integer now return Float16

    Previously we would promote to Float32 leading to subtle type
    instabilities when Float16 was used for computations instead of
    a pure data-storage format.
    
    By defining `promote_type(Float16, Integer) = Float16` this
    incurs an overhead by first converting the `Integer` argument
    to `Float16` and then `Float32` for mathematical operations,
    that are performed in Float32.
    vchuravy committed Aug 5, 2016
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  2. Move math docs out of HelpDB, more examples, fix typos (#17791)

    * Move math docs out of HelpDB, more examples, fix typos
    
    Found a series of typos in `cov` and friends. Added more notes
    about `NaN` and Julia. Made the function signatures reflect
    what's actually in the code. More examples for quite a few
    functions.
    
    * Move quadgk docs out, update formatting
    
    * Moved special functions out of HelpDB, insert some links
    
    * Updated docs for some array ops as well
    
    * Updated in response to feedback
    
    Removed calls to `rand` in doctests. Made examples
    better. Cleaned up function signatures.
    kshyatt authored Aug 5, 2016
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Commits on Aug 6, 2016

  1. Merge pull request #17297 from JuliaGPU/vc/fp16

    Operations between Float16 and Integer now return Float16
    tkelman authored Aug 6, 2016
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  1. Generalize broadcast to handle tuples and scalars (#16986)

    * Generalized broadcast arguments
    
    * Naming fixes
    
    * Add some tests
    
    * News and documentation
    pabloferz authored and stevengj committed Sep 18, 2016
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  1. RFC:add functionality for quantiles of vectors of infinity (#19574)

    * add functionality for quantiles of vectors of infinity
    
    * fixed spacing
    alexhallam authored and tkelman committed Dec 19, 2016
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Commits on Jan 3, 2017

  1. Quantiles of vector of infinities (#19659)

    Use naive interpolation formula in quantile when either endpoint of the interval is infinite, giving correct results when endpoints are infinite or NaN.
    alexhallam authored and StefanKarpinski committed Jan 3, 2017
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  1. Move the deprecation of midpoints to 0.6 section, (#20058)

    and actually deprecate it - this was moved to deprecated.jl
    in #16450, but not actually deprecated
    tkelman authored Jan 17, 2017
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Commits on Feb 6, 2017

  1. WIP: add oneunit(x) for dimensionful version of one(x) (#20268)

    add oneunit(x) for dimensionful version of one(x), and change one -> oneunit where appropriate.
    stevengj authored Feb 6, 2017
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  1. grabbag of doctests (#20491)

    * grabbag of doctests
    
    * fix doctest block
    
    * highlight ix
    
    * some fixups
    
    * fix noop thingy
    KristofferC authored and tkelman committed Feb 10, 2017
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Commits on Feb 11, 2017

  1. RFC: tests for dimensional correctness of Base (#20484)

    * tests for dimensional correctness of Base
    
    * missing promotion for colon(start, step, stop)
    
    * fix sqrtm for dimensionful
    
    * stats dimensionful tests, fixed units of momenttype
    stevengj authored Feb 11, 2017
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Commits on Mar 6, 2017

  1. Allow quantile function to accept tuples

    Fixes #18458
    simonster committed Mar 6, 2017
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Commits on Mar 30, 2017

  1. Make cor work again for complex input (#21205)

    Also fix inconsistency in `cov` of vectors. Fixes #21093
    simonster authored and andreasnoack committed Mar 30, 2017
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  1. Merge pull request #21472 from JuliaLang/tk/https-links

    Change all julialang.org links to https
    tkelman authored Apr 22, 2017
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Commits on May 2, 2017

  1. Merge pull request #20921 from JuliaLang/sjk/quantile

    Allow quantile function to accept tuples
    simonster authored May 2, 2017
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  1. Make cov's corrected argument a keyword argument and cleanup docstr…

    …ings for `cov` and `cor` (#21709)
    
    * Make cov()'s corrected argument a keyword argument and cleanup docstrings
    
    For consistency with var and std. Also remove methods which are no longer needed
    now that deprecations have been removed. Add types to signatures in docstrings.
    
    * Cleanup unneeded cor() methods and docstrings
    
    Remove methods which are no longer needed now that deprecations have
    been removed. Add types to signatures in docstrings.
    nalimilan authored and andreasnoack committed Jun 27, 2017
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  1. Make var(Range) type stable (#22778)

    Fixes #22773
    andreasnoack authored Jul 17, 2017
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  1. Remove momenttype and use reduction initialization infrastructure (#2…

    …2937)
    
    for determining the return type.
    
    Adjust return type determination in _quantile
    
    Fixes #22901
    andreasnoack authored Jul 25, 2017
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Commits on Jul 26, 2017

  1. Add tests for mean and var on arrays with unitful elements. (#22956)

    Fix var along a dimension for arrays with unitful elements.
    andreasnoack authored Jul 26, 2017
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  1. Rename select* functions to partialsort*

    The new name is more explicit, more consistent with sort and with one of the
    most commonly used names for this operation (from the C++ stdlib). It also
    does not conflict with other meanings e.g. for POSIX sockets and SQL.
    nalimilan committed Aug 27, 2017
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Commits on Sep 8, 2017

  1. Rename Range to AbstractRange (#23570)

    * Rename Range to AbstractRange
    
    * Change "a" to "an" before AbstractRange
    
    * Update syntax files under contrib/
    
    Rename Range to AbstractRange, and Range1 to UnitRange (which should
    have been done before).
    
    * Add deprecation and NEWS entry
    
    * Fix incorrect replacements
    
    * Address review comments
    nalimilan authored and mbauman committed Sep 8, 2017
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Commits on Sep 12, 2017

  1. Deprecate +/- methods for array+scalar etc (#22932)

    The elementwise definition is incorrect for linear algebra.
    andyferris authored and andreasnoack committed Sep 12, 2017
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  1. Make var and std work for Vector{Vector{T}} (#23897)

    * Make var and std work for Vector{Vector{T}} by removing Number restriction
    from some signatures as well as using broadcasting in std. Fixes #23884
    
    * Make cov work for Vector{Vector}
    andreasnoack authored Oct 2, 2017
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  1. Testsets for test/statistics

    kshyatt committed Dec 10, 2017
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Commits on Dec 11, 2017

  1. Rewrite A[ct]_(mul|ldiv|rdiv)_B[ct][!] calls in base/statistics.jl as…

    … *, /, \, mul!, ldiv!, or rdiv!.
    Sacha0 committed Dec 11, 2017
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  1. Merge pull request #24969 from Sacha0/lazyjazz

    [WIP] lazier, less-jazzy linalg internals
    Sacha0 authored Dec 12, 2017
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  1. Rename indices as axes

    Andy Ferris committed Dec 15, 2017
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  2. Replace Nullable{T} with Union{T, Void} or Union{Some{T}, Void} (#23642)

    Also add coalesce() function to return first non-nothing value and unwrap Some objects. Use the notnothing() function internally where it makes sense to assert that the result is different from nothing.
    
    Use custom MaybeValue wrapper for ProductIterator to work around a performance regression due to type instability (information about whether a value is present or not is carried separately).
    nalimilan authored Dec 15, 2017
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Commits on Dec 16, 2017

  1. Make CartesianRange an AbstractArray and deprecate sub2ind and ind2su…

    …b (#25113)
    
    * Make CartesianRange an AbstractArray and deprecate sub2ind and ind2sub
    
    * Rename CartesianRange->CartesianIndices
    timholy authored Dec 16, 2017
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  1. rename some copy! methods to copyto! (#24808)

    When the deprecation gets lifted, they will be re-enabled
    with a new meaning.
    rfourquet authored Dec 17, 2017
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  1. make using A.B only for modules, using A: B only for single bindi…

    …ngs (#25306)
    
    part of #8000
    JeffBezanson authored Dec 29, 2017
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Commits on Jan 2, 2018

  1. Correct return type for std along region (#25304)

    * Correct return type for std along region
    
    * Use isa instead of typeof
    omus authored and andreasnoack committed Jan 2, 2018
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Commits on Jan 10, 2018

  1. Merge pull request #25450 from Sacha0/decollect

    presently possible rewrites for potential collect deprecation
    Sacha0 authored Jan 10, 2018
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  1. Pkg3-style code loading, DEPOT_PATH, tests

    Developed together with vtjnash
    StefanKarpinski committed Jan 20, 2018
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Commits on Jan 25, 2018

  1. Make mean() fallback method use the same type as sum() for accumulation

    This prevents overflow for small types, and makes it consistent with
    mean() methods for AbstractArray.
    nalimilan committed Jan 25, 2018
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Commits on Feb 9, 2018

  1. update doc string syntax (#25938)

    - disallow extra lines between a docstring and the documented object
    - parse an extra expression after a newline in calls to `@doc`
    - deprecate special parsing of `doc" "`
    - deprecate `->` for doc strings
    JeffBezanson authored Feb 9, 2018
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Commits on Feb 24, 2018

  1. Fix std(::AbstractArray{<:AbstractFloat}) (#26186)

    Issue #25989 accidentally broke `std(rand(10))`.  This fixes it.
    mbauman authored and KristofferC committed Feb 24, 2018
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Commits on Mar 10, 2018

  1. rename uninitialized to undef (#26316)

    * uninit is dead, long live undef
    
    * UnInitialized -> UndefInitializer + show method
    
    * also deprecate Uninitialized
    KristofferC authored Mar 10, 2018
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Commits on Apr 23, 2018

  1. Customizable lazy fused broadcasting in pure Julia

    This patch represents the combined efforts of four individuals, over 60
    commits, and an iterated design over (at least) three pull requests that
    spanned nearly an entire year (closes #22063, #23692, #25377 by superceding
    them).
    
    This introduces a pure Julia data structure that represents a fused broadcast
    expression.  For example, the expression `2 .* (x .+ 1)` lowers to:
    
    ```julia
    julia> Meta.@lower 2 .* (x .+ 1)
    :($(Expr(:thunk, CodeInfo(:(begin
          Core.SSAValue(0) = (Base.getproperty)(Base.Broadcast, :materialize)
          Core.SSAValue(1) = (Base.getproperty)(Base.Broadcast, :make)
          Core.SSAValue(2) = (Base.getproperty)(Base.Broadcast, :make)
          Core.SSAValue(3) = (Core.SSAValue(2))(+, x, 1)
          Core.SSAValue(4) = (Core.SSAValue(1))(*, 2, Core.SSAValue(3))
          Core.SSAValue(5) = (Core.SSAValue(0))(Core.SSAValue(4))
          return Core.SSAValue(5)
      end)))))
    ```
    
    Or, slightly more readably as:
    
    ```julia
    using .Broadcast: materialize, make
    materialize(make(*, 2, make(+, x, 1)))
    ```
    
    The `Broadcast.make` function serves two purposes. Its primary purpose is to
    construct the `Broadcast.Broadcasted` objects that hold onto the function, the
    tuple of arguments (potentially including nested `Broadcasted` arguments), and
    sometimes a set of `axes` to include knowledge of the outer shape. The
    secondary purpose, however, is to allow an "out" for objects that _don't_ want
    to participate in fusion. For example, if `x` is a range in the above `2 .* (x
    .+ 1)` expression, it needn't allocate an array and operate elementwise — it
    can just compute and return a new range. Thus custom structures are able to
    specialize `Broadcast.make(f, args...)` just as they'd specialize on `f`
    normally to return an immediate result.
    
    `Broadcast.materialize` is identity for everything _except_ `Broadcasted`
    objects for which it allocates an appropriate result and computes the
    broadcast. It does two things: it `initialize`s the outermost `Broadcasted`
    object to compute its axes and then `copy`s it.
    
    Similarly, an in-place fused broadcast like `y .= 2 .* (x .+ 1)` uses the exact
    same expression tree to compute the right-hand side of the expression as above,
    and then uses `materialize!(y, make(*, 2, make(+, x, 1)))` to `instantiate` the
    `Broadcasted` expression tree and then `copyto!` it into the given destination.
    
    All-together, this forms a complete API for custom types to extend and
    customize the behavior of broadcast (fixes #22060). It uses the existing
    `BroadcastStyle`s throughout to simplify dispatch on many arguments:
    
    * Custom types can opt-out of broadcast fusion by specializing
      `Broadcast.make(f, args...)` or `Broadcast.make(::BroadcastStyle, f, args...)`.
    
    * The `Broadcasted` object computes and stores the type of the combined
      `BroadcastStyle` of its arguments as its first type parameter, allowing for
      easy dispatch and specialization.
    
    * Custom Broadcast storage is still allocated via `broadcast_similar`, however
      instead of passing just a function as a first argument, the entire
      `Broadcasted` object is passed as a final argument. This potentially allows
      for much more runtime specialization dependent upon the exact expression
      given.
    
    * Custom broadcast implmentations for a `CustomStyle` are defined by
      specializing `copy(bc::Broadcasted{CustomStyle})` or
      `copyto!(dest::AbstractArray, bc::Broadcasted{CustomStyle})`.
    
    * Fallback broadcast specializations for a given output object of type `Dest`
      (for the `DefaultArrayStyle` or another such style that hasn't implemented
      assignments into such an object) are defined by specializing
      `copyto(dest::Dest, bc::Broadcasted{Nothing})`.
    
    As it fully supports range broadcasting, this now deprecates `(1:5) + 2` to
    `.+`, just as had been done for all `AbstractArray`s in general.
    
    As a first-mover proof of concept, LinearAlgebra uses this new system to
    improve broadcasting over structured arrays. Before, broadcasting over a
    structured matrix would result in a sparse array. Now, broadcasting over a
    structured matrix will _either_ return an appropriately structured matrix _or_
    a dense array. This does incur a type instability (in the form of a
    discriminated union) in some situations, but thanks to type-based introspection
    of the `Broadcasted` wrapper commonly used functions can be special cased to be
    type stable.  For example:
    
    ```julia
    julia> f(d) = round.(Int, d)
    f (generic function with 1 method)
    
    julia> @inferred f(Diagonal(rand(3)))
    3×3 Diagonal{Int64,Array{Int64,1}}:
     0  ⋅  ⋅
     ⋅  0  ⋅
     ⋅  ⋅  1
    
    julia> @inferred Diagonal(rand(3)) .* 3
    ERROR: return type Diagonal{Float64,Array{Float64,1}} does not match inferred return type Union{Array{Float64,2}, Diagonal{Float64,Array{Float64,1}}}
    Stacktrace:
     [1] error(::String) at ./error.jl:33
     [2] top-level scope
    
    julia> @inferred Diagonal(1:4) .+ Bidiagonal(rand(4), rand(3), 'U') .* Tridiagonal(1:3, 1:4, 1:3)
    4×4 Tridiagonal{Float64,Array{Float64,1}}:
     1.30771  0.838589   ⋅          ⋅
     0.0      3.89109   0.0459757   ⋅
      ⋅       0.0       4.48033    2.51508
      ⋅        ⋅        0.0        6.23739
    ```
    
    In addition to the issues referenced above, it fixes:
    
    * Fixes #19313, #22053, #23445, and #24586: Literals are no longer treated
      specially in a fused broadcast; they're just arguments in a `Broadcasted`
      object like everything else.
    
    * Fixes #21094: Since broadcasting is now represented by a pure Julia
      datastructure it can be created within `@generated` functions and serialized.
    
    * Fixes #26097: The fallback destination-array specialization method of
      `copyto!` is specifically implemented as `Broadcasted{Nothing}` and will not
      be confused by `nothing` arguments.
    
    * Fixes the broadcast-specific element of #25499: The default base broadcast
      implementation no longer depends upon `Base._return_type` to allocate its
      array (except in the empty or concretely-type cases). Note that the sparse
      implementation (#19595) is still dependent upon inference and is _not_ fixed.
    
    * Fixes #25340: Functions are treated like normal values just like arguments
      and only evaluated once.
    
    * Fixes #22255, and is performant with 12+ fused broadcasts. Okay, that one was
      fixed on master already, but this fixes it now, too.
    
    * Fixes #25521.
    
    * The performance of this patch has been thoroughly tested through its
      iterative development process in #25377. There remain [two classes of
      performance regressions](#25377) that Nanosoldier flagged.
    
    * #25691: Propagation of constant literals sill lose their constant-ness upon
      going through the broadcast machinery. I believe quite a large number of
      functions would need to be marked as `@pure` to support this -- including
      functions that are intended to be specialized.
    
    (For bookkeeping, this is the squashed version of the [teh-jn/lazydotfuse](JuliaLang/julia#25377)
    branch as of a1d4e7ec9756ada74fb48f2c514615b9d981cf5c. Squashed and separated
    out to make it easier to review and commit)
    
    Co-authored-by: Tim Holy <tim.holy@gmail.com>
    Co-authored-by: Jameson Nash <vtjnash@gmail.com>
    Co-authored-by: Andrew Keller <ajkeller34@users.noreply.github.com>
    4 people committed Apr 23, 2018
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Commits on May 8, 2018

  1. Deprecate linearindices in favor of LinearIndices (#26775)

    * Deprecate linearindices in favor of LinearIndices
    
    LinearIndices is strictly more powerful than linearindices: these two functions
    return arrays holding the same elements, but the former also preserves the shape
    and indices of the original array.
    
    Also improve docstrings.
    
    * Add efficient LinearIndices iteration
    
    * Work around invalidation and minor LinearIndices simplifications
    
    * Alternative fix using eachindex + adjust failing test
    
    * Fix accumulate/cumsum performance regression by adding getindex(::LinearIndices, ::AbstractRange)
    
    Plus two small fixes.
    nalimilan authored and mbauman committed May 8, 2018
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Commits on May 18, 2018

  1. Change iteration protocol

    This changes the iteration protocol from `start`/`next`/`done` to `iterate`.
    The new lowering of a for loop is as follows:
    
    ```
    for x in itr
        ...
    end
    ```
    
    becomes
    
    ```
    next = iterate(itr)
    while next !== nothing
        x, state = next::Tuple{Any, Any}
        ...
        next = iterate(itr, state)
    end
    ```
    
    The semantics are as apparent from the above lowering. `iterate` returns
    either `nothing` or a tuple of value and state. The state is passed
    to any subsequent operation. The first iteration is indicated, by not passing
    the second, state argument to the `iterate` method.
    
    Adaptors in both directions are provided to keep the legacy iteration
    protocol working for now. However, performance of the legacy iteration
    protocol will be severely pessimized.
    
    As an optional add-on for mutable iterators, a new `isdone` function is
    provided. This function is intended as an O(1) approximate query for
    iterator completion, where such a calculation is possible without mutation
    and/or is significantly faster than attempting to obtain the element itself.
    The function makes use of 3-value logic. `missing` is always an acceptable
    answer, in which case the caller should go ahead and attempt the iteration
    to obtain a definite result. If the result is not `missing`, it must be
    exact (i.e. if true, the next call to iterate must return `nothing`, if
    false it must not return nothing).
    Keno committed May 18, 2018
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Commits on May 28, 2018

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Commits on May 29, 2018

  1. use offset axes for offset arrays (#27038)

    * Better support for non-Int axes
    
    * Fix offset unique test:
    
    This is an interesting case: it just falls out that unique across dimensions now preserves offset-ness of the non-uniqued dimensions
    
    * Simplify similar(::Type{T}, ...) and require T<:AbstractArray for the default definition
    
    * Use the same extension system for `reshape` as `similar`.
    
    * Fixup Offset similar(::Type, ...) definition to match
    mbauman authored and JeffBezanson committed May 29, 2018
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Commits on Jun 13, 2018

  1. comparison against nothing should use egal

    Avoids requiring dynamic dispatch, and especially in the compiler,
    and avoids compiling numerous copies of this comparison method
    vtjnash committed Jun 13, 2018
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Commits on Jun 28, 2018

  1. make dims argument to mapslices a keyword arg (#27828)

    fixes #27774
    JeffBezanson authored and mbauman committed Jun 28, 2018
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Commits on Jun 29, 2018

  1. Revert "move cor, cov, std, stdm, var, varm and linreg to StatsBase (…

    …#27152)"
    
    This reverts commit 746d08fdfe65888ca8a30e8cfa3ef2b439251d22.
    fredrikekre authored and JeffBezanson committed Jun 29, 2018
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  2. move base/statistics.jl to Statistics stdlib

    fix #27374
    fredrikekre authored and JeffBezanson committed Jun 29, 2018
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Commits on Jun 30, 2018

  1. Fix handling of missing values in median and quantile and improve docs

    Ensure we always return missing or throw an error in the presence of missing values
    Support skipmissing(v) by supporting any iterator and calling collect on it, which
    makes median and quantile consistent with mean and sum.
    Improve docstrings for stats functions by adding examples and making them more consistent.
    nalimilan committed Jun 30, 2018
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Commits on Jul 3, 2018

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Commits on Jul 7, 2018

  1. Test: unexport guardsrand (#27942)

    This is mostly superseded by the new behavior of at-testset,
    which reinitializes the state of the GLOBAL_RNG.
    rfourquet authored Jul 7, 2018
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Commits on Jul 11, 2018

  1. Rename indices1->axes1

    timholy committed Jul 11, 2018
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Commits on Jul 27, 2018

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Commits on Jul 28, 2018

  1. Rename realmin/max -> floatmin/max (#28302)

    The names `realmin`/`realmax`, don't make too much sense in our terminology. These function are floating-point property queries, querying in particular the largest/smallest positive normalized floating point value. `posnormfloatmin` isn't a great name however, so simply `floatmin` was suggested. This has the advantage that it's suggestive of the fact that it's a floating point type query, even if it's not quite the minimum floating point value or even the minimum positive floating point value, but that's what docs are for. In any case, they're better than real. We have a good number of subtypes of `Real` for which these functions make no sense. In libc, these are called FLT_MIN/FLT_MAX or DBL_MIN/DBL_MAX.
    Keno authored Jul 28, 2018
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Commits on Jul 29, 2018

  1. Rename srand to Random.seed! (#28295)

    Olivier Thill authored and ararslan committed Jul 29, 2018
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Commits on Aug 6, 2018

  1. Remove many stdlib deprecations (#28450)

    * Remove Dates deprecations.
    
    * Remove Base64 deprecations.
    
    * Remove CRC32c deprecations.
    
    * Remove DelimitedFiles deprecations.
    
    * Remove FileWatching deprecations.
    
    * Remove InteractiveUtils deprecations.
    
    * Remove Libdl deprecations.
    
    * Remove Markdown deprecations.
    
    * Remove Mmap deprecations.
    
    * Remove Printf deprecations.
    
    * Remove Profile deprecations.
    
    * Remove REPL deprecations.
    
    * Remove Serialization deprecations.
    
    * Remove SharedArrays deprecations.
    
    * Remove Sockets deprecations.
    
    * Remove Statistics deprecations.
    fredrikekre authored and KristofferC committed Aug 6, 2018
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Commits on Aug 23, 2018

  1. fix doc-string references to bit-rotted variables x(->v) and v(->itr)…

    … in var, varm, std, stdm, & quantiles
    thchr authored and Keno committed Aug 23, 2018
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Commits on Oct 9, 2018

  1. Fix quantile doctest formatting (#29573)

    An errant space was causing the online documentation to render the docstring incorrectly: https://docs.julialang.org/en/v1/stdlib/Statistics/index.html#Statistics.quantile
    bovine3dom authored and StefanKarpinski committed Oct 9, 2018
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Commits on Nov 5, 2018

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Commits on Dec 5, 2018

  1. Compat admonitions and NEWS for Julia 1.1 (#30230)

    Addition of NEWS and compat admonitions for important changes between Julia 1.0 and 1.1, including:
    
    - Custom .css-style for compat admonitions.
    
    - Information about compat annotations to CONTRIBUTING.md.
    
    - NEWS.md entry for PRs #30090, #30035, #30022, #29978,
      #29969, #29858, #29845, #29754, #29638, #29636, #29615,
      #29600, #29506, #29469, #29316, #29259, #29178, #29153,
      #29033, #28902, #28761, #28745, #28708, #28696, #29997,
      #28790, #29092, #29108, #29782
    
    - Compat annotation for PRs #30090, #30013, #29978,
      #29890, #29858, #29827, #29754, #29679, #29636, #29623,
      #29600, #29440, #29316, #29259, #29178, #29157, #29153,
      #29033, #28902, #28878, #28761, #28708, #28156, #29733,
      #29670, #29997, #28790, #29092, #29108, #29782, #25278
    
    - Documentation for broadcasting CartesianIndices (#30230).
    - Documentation for Base.julia_cmd().
    - Documentation for colon constructor of CartesianIndices (#29440).
    - Documentation for ^(::Matrix, ::Number) and ^(::Number, ::Matrix).
    
    - Run NEWS-update.jl.
    
    
    Co-authored-by: Morten Piibeleht <morten.piibeleht@gmail.com>
    Co-authored-by: Fredrik Ekre <ekrefredrik@gmail.com>
    3 people authored Dec 5, 2018
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Commits on May 22, 2019

  1. test quantile (#31994)

    kshyatt authored and andreasnoack committed May 22, 2019
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Commits on Jun 22, 2019

  1. Add missing test dependency on Random to Statistics (#32383)

    Statistics uses Random in its tests but doesn't declare it as a test
    dependency in its Project.toml.
    ararslan authored and fredrikekre committed Jun 22, 2019
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Commits on Jul 24, 2019

  1. [Statistics] fix type determination in corm (#32271)

    * [Statistics] fix type determination in corm
    
    * remove obsolete typeof
    
    * use first element(s) for type initialization
    
    * add test for inhomogeneous data and for overflow
    
    * fix test with NaN
    dkarrasch authored and andreasnoack committed Jul 24, 2019
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Commits on Aug 1, 2019

  1. Add docstest=only option to docs/make.jl (#32376)

    * Bump Documenter to 0.23.1
    * Documenter now requires docstring doctests to have their own metadata
      in the corresponding module. Remove all the now redundant at-meta
      blocks from the standard library .md files and add the necessary
      module-level metadata in make.jl
    mortenpi authored and fredrikekre committed Aug 1, 2019
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Commits on Aug 22, 2019

  1. Refactoring: Use accessor methods when manipulating sparse matrices/v…

    …ectors (#32953)
    
    * Use accessor methods when touching SparseMatrixCSC
    tkf authored and ViralBShah committed Aug 22, 2019
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Commits on Aug 23, 2019

  1. Use nzrange in Statistics (#33037)

    tkf authored and ViralBShah committed Aug 23, 2019
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  2. Add LICENSE.md

    nalimilan committed Sep 18, 2019
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Commits on Apr 28, 2020

  1. Add missing shape checks for the means argument to var[m] and std[m] (#…

    …32)
    
    We use `@inbounds`, but the shape of the `means` argument was never checked
    for the general `AbstractArray` method.
    With an incorrect shape, invalid results or crashes would happen.
    To avoid breaking existing code which was working, allow trailing singleton
    dimensions. Sync the `SparseMatrixCSV` method, which makes it less strict.
    nalimilan authored Apr 28, 2020
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  1. Force specialization for _mean's dims argument (#38)

    Ensures we get the specialization we want when passing `dims=(:)`.  Fixes #37.
    mbauman authored May 12, 2020
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Commits on Jun 5, 2020

  1. Fix bug in quantile for case of 1 element vector (#42)

    * Fix bug in quantile for case of 1 element vector
    
    * add tests
    
    * make the implementation type-stable
    
    * Remove )
    
    Co-authored-by: Milan Bouchet-Valat <nalimilan@club.fr>
    bkamins and nalimilan authored Jun 5, 2020
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Commits on Oct 8, 2020

  1. relax type definition of middle (#28)

    * relax type definition of middle
    
    this adds support for computing the median of unitful types, see PainterQubits/Unitful.jl#202
    
    * updates docs and add tests for middle on non-reals
    tlnagy authored Oct 8, 2020
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  1. Clarify "IID" (#58)

    BioTurboNick authored Dec 19, 2020
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Commits on Jan 3, 2021

  1. Delete .travis.yml

    nalimilan authored Jan 3, 2021
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  3. Fix CI (#64)

    stdlib modules need to use a custom rule, otherwise the code with which Julia was built is used.
    nalimilan authored Jan 3, 2021
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Commits on Feb 13, 2021

  1. change real to float in cor of a single collection (#61)

    As in `cor` we get square root I think it is safe to assume that the result should be floating point.
    
    An example of current surprising behavior:
    ```
    julia> cor([im])
    true
    ```
    bkamins authored Feb 13, 2021
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  2. Fix CI badge

    nalimilan authored Feb 13, 2021
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Commits on Mar 24, 2021

  1. Fix NaN and missing detection in quantile() (#72)

    When `sort=false`, we only partially sort the input, so `NaN`/`missing`
    is not guaranteed to be in the last position. Also avoid throwing errors for
    non-`Number` types, for which `isnan` may not be defined.
    nalimilan authored Mar 24, 2021
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  2. Fix detection of NaN in median() (#73)

    There is no reliable way to know only from the array eltype whether entries
    support `isnan` or not. Better leave to the compiler to optimize out the
    `isa Number` check when possible.
    nalimilan authored Mar 24, 2021
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  3. Transformations

    nalimilan committed Sep 26, 2021
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  4. Reliability

    nalimilan committed Sep 26, 2021
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  5. Sampling

    nalimilan committed Sep 26, 2021
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