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MulticategoryExample2_2011

# MulticategoryExample2_2011 - Statistics 665 Spring 2011...

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1 Statistics 665, Spring 2011, Kaizar Miners Example 0 10 20 30 40 50 1.0 1.5 2.0 2.5 3.0 miners\$exp.time miners\$lung 0 10 20 30 40 50 1.0 1.5 2.0 2.5 3.0 miners\$exp.time miners\$lungo 111111111111 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 10 20 30 40 50 0.0 0.4 0.8 Exposure Proportion 222222222222 2 2 2 22 2 2 2 2 2 22 2 2 2 2 2 2 2 22 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 22222 2 2 333333333333333 3 333 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 33 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

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2 Call: vglm(formula = lungo ~ exp.time, family = cumulative(par = TRUE), data = miners) Pearson Residuals: Min 1Q Median 3Q Max logit(P[Y<=1]) -4.7789 0.15999 0.24295 0.44580 1.6812 logit(P[Y<=2]) -4.9852 0.07829 0.12841 0.25323 1.6970 Coefficients: Value Std. Error t value (Intercept):1 3.85396 0.394998 9.7569 (Intercept):2 4.76690 0.429814 11.0906 exp.time -0.09249 0.011501 -8.0418 Number of linear predictors: 2 Names of linear predictors: logit(P[Y<=1]), logit(P[Y<=2]) Dispersion Parameter for cumulative family: 1 Residual Deviance: 418.3871 on 739 degrees of freedom Log-likelihood: -209.1936 on 739 degrees of freedom Number of Iterations: 5 1 1 1 1 1 1 1 1 10 20 30 40 50 0.0 0.4 0.8 Exposure Proportion 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 1 2 3 normal mild
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