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lmiq committed Aug 17, 2020
1 parent 9fd80d4 commit 1cd3134
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8 changes: 4 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -129,7 +129,7 @@ julia> fitquad(x,y) # or fitquadratic(x,y)
b = 0.07985866671623199
c = 0.08681962205579699

Pearson correlation, R = 0.9591045325089623
Pearson correlation coefficient, R = 0.765338307304594

Predicted y = [0.08910633345247763, 0.08943732276526263...
Residues = [0.07660191693062993, 0.07143385689027287...
Expand All @@ -156,7 +156,7 @@ julia> fitcubic(x,y)
c = 1.431666717127516
d = -0.10389199522825227

Pearson correlation, R = 0.9636627003609293
Pearson correlation coefficient, R = 0.765338307304594

Predicted Y: ypred = [0.024757602237563042, 0.1762724543346461...
residues = [-0.021614675301217884, 0.0668157091306878...
Expand All @@ -182,7 +182,7 @@ julia> fitexp(x,y) # or fitexponential
With: A = 0.08309782657193134
b = 0.4408664103095801

Pearson correlation, R = 0.957162526367073
Pearson correlation coefficient, R = 0.765338307304594

Predicted Y: ypred = [0.10558554154948542, 0.16605481935145136...
residues = [0.059213264010704494, 0.056598074147493044...
Expand All @@ -205,7 +205,7 @@ julia> fit = fitexp(x,y,n=3)
With: A = [2.0447736471832363e-16, 3.165225832379937, -3.2171314371600785]
b = [0.02763465220057311, -46969.25088088338, -4.403370258345724]

Pearson correlation, R = 0.9835776339692254
Pearson correlation coefficient, R = 0.765338307304594

Predicted Y: ypred = [0.024313571992034433, 0.1635108558614995...
residues = [-0.022058705546746493, 0.05405411065754118...
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8 changes: 4 additions & 4 deletions src/EasyFit.jl
Original file line number Diff line number Diff line change
Expand Up @@ -114,7 +114,7 @@ module EasyFit
println(" b = ", fit.b)
println(" c = ", fit.c)
println("")
println(" Pearson correlation, R = ", fit.R)
println(" Pearson correlation coefficient, R = ", fit.R)
println("")
println(" Predicted Y: ypred = [",fit.ypred[1],", ",fit.ypred[2],"...")
println(" residues = [", fit.residues[1],", ",fit.residues[2],"...")
Expand Down Expand Up @@ -160,7 +160,7 @@ module EasyFit
println(" c = ", fit.c)
println(" d = ", fit.d)
println("")
println(" Pearson correlation, R = ", fit.R)
println(" Pearson correlation coefficient, R = ", fit.R)
println("")
println(" Predicted Y: ypred = [",fit.ypred[1],", ",fit.ypred[2],"...")
println(" residues = [", fit.residues[1],", ",fit.residues[2],"...")
Expand Down Expand Up @@ -234,7 +234,7 @@ module EasyFit
println(" With: A = ", fit.A)
println(" b = ", fit.b)
println("")
println(" Pearson correlation, R = ", fit.R)
println(" Pearson correlation coefficient, R = ", fit.R)
println("")
println(" Predicted Y: ypred = [",fit.ypred[1],", ",fit.ypred[2],"...")
println(" residues = [", fit.residues[1],", ",fit.residues[2],"...")
Expand All @@ -251,7 +251,7 @@ module EasyFit
println(" With: A = ", fit.A)
println(" b = ", fit.b)
println("")
println(" Pearson correlation, R = ", fit.R)
println(" Pearson correlation coefficient, R = ", fit.R)
println("")
println(" Predicted Y: ypred = [",fit.ypred[1],", ",fit.ypred[2],"...")
println(" residues = [", fit.residues[1],", ",fit.residues[2],"...")
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2 comments on commit 1cd3134

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@lmiq lmiq commented on 1cd3134 Aug 17, 2020

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@JuliaRegistrator() register()

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Registration pull request updated: JuliaRegistries/General/19639

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v0.1.0 -m "<description of version>" 1cd31349376f1a7325400d0d2d9f0f3662f38683
git push origin v0.1.0

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