Julia Notebook

Julia is a high-level, high-performance dynamic programming language for numerical computing. And we are running it in a Jupyter Notebook! How cool is that?

Cleuton Sampaio

Let's run a Linear Regression, shall we?



In [8]:

    
using DataFrames
using GLM









    



INFO: Precompiling module GLM...



In [4]:

    
data = DataFrame(X=[1,2,3], Y=[2,4,7])









    Out[4]:




X Y
1 1 2
2 2 4
3 3 7



In [11]:

    
OLS = glm(Formula(:Y, Symbol("X")), data, Normal(), IdentityLink())









    Out[11]:





DataFrames.DataFrameRegressionModel{GLM.GeneralizedLinearModel{GLM.GlmResp{Array{Float64,1},Distributions.Normal{Float64},GLM.IdentityLink},GLM.DensePredChol{Float64,Base.LinAlg.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}

Formula: Y ~ 1 + X

Coefficients:
              Estimate Std.Error  z value Pr(>|z|)
(Intercept)  -0.666667   0.62361 -1.06904   0.2850
X                  2.5  0.288675  8.66025   <1e-17



In [ ]: