glm.summary               package:base               R Documentation

_S_u_m_m_a_r_i_z_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, ...)

     print(x, 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: an object of class `"glm"', usually, a result of a call to
          `glm'.

       x: an object of class `"summary.glm"', usually, a result of a
          call to `summary.glm'.

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

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

  digits: the number of significant digits to use when printing.

na.print: Unused.

symbolic.cor: logical. If `TRUE', print the correlations in a symbolic
          form (see `symnum' rather than as numbers.

signif.stars: logical. If `TRUE', ``significance stars'' are printed
          for each coefficient.

     ...: further arguments passed to or from other methods.

_D_e_t_a_i_l_s:

     `print.summary.glm' tries to be smart about formatting the
     coefficients, standard errors, etc. and additionally gives
     ``significance stars'' if `signif.stars' is `TRUE'.

_S_e_e _A_l_s_o:

     `glm', `summary'.

_E_x_a_m_p_l_e_s:

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

     summary(glm.D93)

