129 lines
1.9 KiB
Julia
129 lines
1.9 KiB
Julia
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myarray = zeros(Float64,6)
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for k = 1:length(myarray)
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if iseven(k)
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myarray[k] = sum(myarray[1:k])
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elseif k == 5
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myarray = myarray .- 1
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else
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myarray[k] = 5
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end
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end
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##---
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function myfunction()
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return "string",1.0
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end
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function myfunction(a; c="keyword",kwargs...)
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# body
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return a,b,c
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end
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anonym = (x,y) -> x+y
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function mylongfunction(x)
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return x^2
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end
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myshortfunction(x) = x^2
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myfunction(args...;kwargs...) = myotherfunction(1.0,"mystring",args...;kwargs...)
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#---
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a = [1,2,3]
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a[1]+a[2]+a[3]
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+(a[1],a[2],a[3])
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+(a...)
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function mybinary(args...)
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res = true
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for k = 1:length(args)
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res = res & args[k]
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end
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return res
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end
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#---
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nothing # None
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NaN
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missing
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#---
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a = [1,2,3,4,5]
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sqrt.(a)
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a .+ a
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#---
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a = [1,2,3,4,5]
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b = [6,7,8,9,10]
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c = (a.^2 .+ sqrt.(a) .+ log.(a.*b))./5
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#---
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tmp1 = a .* b
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tmp2 = log.(tmp1)
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tmp3 = sqrt.(a)
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tmp4 = tmp2 + tmp3
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...
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output = tmpX./5
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c = similar(a)
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for k = 1:length(a)
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c[k] = (a[k]^2 + sqrt(a[k]) + log(a[k]*b[k]))/5
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end
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#---
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#import LinearAlgebra
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import LinearAlgebra.qr as test3
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using LinearAlgebra
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A = Matrix{Float64}(undef,11,22)
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B = Array{Float64,2}(undef,22,33)
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C = rand(30,100)
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D = rand(100,50)
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qr(C*D)
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@time svd(C)
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g = x -> 2*x
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h = x -> 2*x
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i = x -> 2*x
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h(C);
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@time svd(g(C));
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@time svd(i(C));
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#---
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function myfunction(A::Int64)
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b::Vector = A[1,:]
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return A^2
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end
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#---
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function rse_tstat(x;σ = rse_std(x),var=σ^2)
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return rse_mean(x) / (σ / sqrt(length(x)))
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end
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#---
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β = 1
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🎈 = "bla"
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# \beta + TAB
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a = "this is a string"
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'this is a string?'
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join('A':'F')
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A = "one"
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B = " two"
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A * B
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#---
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module MyStatsPackage
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struct Bla
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newfield
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end
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include("myscope.jl")
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import Base: length
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Base.length(s::SimulationResult) = 100
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export SimulationResults
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end
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using .MyStatsPackage
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#---
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@kwdef
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@which sum([1,2,3])
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@which(sum([1,2,3]))
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a = [1,2,3]
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println("a is $a")
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@debug a
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