glm.summaries              package:base              R Documentation

_A_c_c_e_s_s_i_n_g _G_e_n_e_r_a_l_i_z_e_d _L_i_n_e_a_r _M_o_d_e_l _F_i_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     These functions are all `methods' for class `glm' or `summary.glm'
     objects.

_U_s_a_g_e:

     summary(object, dispersion = NULL, correlation = FALSE, ...)
     coefficients(x) ; coef(x)
     df.residual(x, ...)
     family(x)
     fitted.values(x) ; fitted(x)
     residuals(x, type = c("deviance", "pearson", "working",
                           "response", "partial"), ...)
     print.summary(summary.glm.obj, digits = max(3, getOption("digits") - 3),
                   na.print = "", symbolic.cor = p > 4,
                   signif.stars = getOption("show.signif.stars"), ...)

_A_r_g_u_m_e_n_t_s:

object, x: an object of class `glm', typically the result of a call to
          `glm'.

dispersion: the dispersion parameter for the fitting family. By default
          it is obtained from `glm.obj'.

correlation: logical; if `TRUE', the correlation matrix of the
          estimated parameters is returned and printed.

    test: a character string, matching one of `"Chisq"', `"F"' or
          `"Cp"'. See `stat.anova'.

    type: the type of residuals which should be returned. The
          alternatives are: `"deviance"' (default), `"pearson"',
          `"working"', `"response"', and `"partial"'.

_V_a_l_u_e:

     The function `summary' can be used to obtain or print a summary of
     the results.

_S_e_e _A_l_s_o:

     `glm' for computing `glm.obj', `anova.glm'; the corresponding
     generic functions, `summary', `coefficients', `deviance',
     `effects', `fitted.values', `residuals'.

_E_x_a_m_p_l_e_s:

     ## --- Continuing the Example from  ``?glm'':

     summary(glm.D93)

