In below example of GLM, I want to get the Pr(>|t|) value 3.4e-7. How can I get
it?
Also, how this p-value be calculated? By F test or by Chisq test? I can choose
the test type in R but I can not choose in Julia.
julia> using GLM, RDatasets
julia> form = dataset("datasets","Formaldehyde")6x2
DataFrame|-------|------|--------|| Row # | Carb | OptDen || 1 | 0.1 |
0.086 || 2 | 0.3 | 0.269 || 3 | 0.5 | 0.446 || 4 | 0.6 |
0.538 || 5 | 0.7 | 0.626 || 6 | 0.9 | 0.782 |
julia> lm1 = fit(LinearModel, OptDen ~ Carb, form)Formula: OptDen ~ Carb
Coefficients:
Estimate Std.Error t value Pr(>|t|)(Intercept) 0.00508571
0.00783368 0.649211 0.5516Carb 0.876286 0.0135345 64.7444 3.4e-7
