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Example

How to setup and run logistic regression? In the following example we'll perform ordinary (i.e. with two categories) logistic regression on data, taken from NCSS statistics program. Note that TMtxLogistReg.Y vector values are binary integer values.

using Dew.Stats; using Dew.Stats.Units; using Dew.Math; namespace Dew.Examples { private void Example(StatTools.TMtxLogistReg tc) { tc.A.SetIt(27,3,false, new double[] {0.8, 1.9, 0.996, 0.9, 1.4, 0.992, 0.8, 0.8, 0.982, 1, 0.7, 0.986, 0.9, 1.3, 0.98, 1, 0.6, 0.982, 0.95, 1, 0.992, 0.95, 1.9, 1.02, 1, 0.8, 0.999, 0.95, 0.5, 1.038, 0.85, 0.7, 0.988, 0.7, 1.2, 0.982, 0.8, 0.4, 1.006, 0.2, 0.8, 0.99, 1, 1.1, 0.99, 1, 1.9, 1.02, 0.65, 0.5, 1.014, 1, 1, 1.004, 0.5, 0.6, 0.99, 1, 1.1, 0.986, 1, 0.4, 1.01, 0.9, 0.6, 1.02, 1, 1, 1.002, 0.95, 1.6, 0.988, 1, 1.7, 0.99, 1, 0.9, 0.986, 1, 0.7, 0.986});; tc.Y.SetIt(false,new double[] {1,1,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,1,1,0}); tc.Recalc(); // Results => // B = (9.65215222458842, 3.86710032907408, -82.073774279211) // Theta = (-67.6339061278272) // TBStdErr = (56.8875416435276, 7.75107606604495, 1.77827769017976, 61.712376172072) // meaning Theta StdErr = 56.8875416435276, // Beta StdErrs = 7.75107606604495, 1.77827769017976, 61.712376172072 } }
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