Machine Learning with R Cookbook - Second Edition

How to do it...

Perform the following steps to fit the generalized linear regression model with the Poisson model:

1. Load the warpbreaks data, and use head to view the first few lines:

       > data(warpbreaks)       > head(warpbreaks)       Output:           breaks wool tension        1   26     A      L        2   30     A      L        3   54     A      L        4   25     A      L        5   70     A      L        6   52     A      L  

2. We apply Poisson as a family object for the independent variable, tension, and the dependent variable, breaks:

        > rs1 = glm(breaks ~ tension, data=warpbreaks, family="poisson")        > summary(rs1)        Output:        Call:        glm(formula = breaks ~ tension, family = "poisson", data =         warpbreaks)        Deviance Residuals:             Min    1Q     Median  3Q    Max         -4.2464 -1.6031 -0.5872 1.2813 4.9366         Coefficients:                Estimate Std. Error z value Pr(>|z|)  (Intercept) 3.59426 0.03907 ...