using EasyFit using Plots x = sort(rand(10)) .- 0.5 y = sort(rand(10)) .- 0.5 plot(layout=(3,2)) plot!(framestyle=:box,grid=false) sp=1 plot!(title="Linear fit",subplot=sp) scatter!(x,y,label="",subplot=sp) fit = fitlinear(x,y) plot!(fit.x,fit.y,label="",linewidth=2,subplot=sp) sp=2 y2 = y.^2 plot!(title="Quadratic fit",subplot=sp) scatter!(x,y2,label="",subplot=sp) fit = fitquad(x,y2) plot!(fit.x,fit.y,label="",linewidth=2,subplot=sp) sp=3 y2 = y.^3 plot!(title="Cubic fit",subplot=sp) scatter!(x,y2,label="",subplot=sp) fit = fitcubic(x,y2) plot!(fit.x,fit.y,label="",linewidth=2,subplot=sp) sp=4 y2 = 0.3*exp.(5*y) plot!(title="Mono-exponential fit",subplot=sp) scatter!(x,y2,label="",subplot=sp) fit = fitexp(x,y2) plot!(fit.x,fit.y,label="",linewidth=2,subplot=sp) sp=5 y2 = 0.3*exp.(5*y) + 0.7*exp.(3*y2) plot!(title="Bi-exponential fit",subplot=sp) scatter!(x,y2,label="",subplot=sp) fit = fitexp(x,y2,n=2) plot!(fit.x,fit.y,label="",linewidth=2,subplot=sp) sp=6 y2 = y.^5 plot!(title="Spline fit",subplot=sp) scatter!(x,y2,label="",subplot=sp) fit = fitexp(x,y2,n=2) plot!(fit.x,fit.y,label="",linewidth=2,subplot=sp) plot!(size=(600,600))