print.summary.pdMat           package:nlme           R Documentation

_P_r_i_n_t _a _s_u_m_m_a_r_y._p_d_M_a_t _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     The standard deviations and correlations associated with the
     positive-definite matrix represented by 'object' (considered as a
     variance-covariance matrix) are printed, together with the formula
     and the grouping level associated 'object', if any are present.

_U_s_a_g_e:

     ## S3 method for class 'summary.pdMat':
     print(x, sigma, rdig, Level, resid, ...)

_A_r_g_u_m_e_n_t_s:

       x: an object inheriting from class 'summary.pdMat', generally
          resulting from applying 'summary' to an object inheriting
          from class 'pdMat'.

   sigma: an optional numeric value used as a multiplier for the
          square-root factor of the positive-definite matrix
          represented by 'object' (usually the estimated within-group
          standard deviation from a mixed-effects model). Defaults to
          1.

    rdig: an optional integer value with the number of significant
          digits to be used in printing correlations. Defaults to 3.

   Level: an optional character string with a description of the
          grouping level associated with 'object' (generally
          corresponding to levels of grouping in a mixed-effects
          model). Defaults to NULL.

   resid: an optional logical value. If 'TRUE' an extra row with the
          '"residual"' standard deviation given in 'sigma' will be
          included in the output. Defaults to 'FALSE'.

     ...: optional arguments passed to 'print.default'; see the
          documentation on that method function.

_A_u_t_h_o_r(_s):

     Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates
     bates@stat.wisc.edu

_S_e_e _A_l_s_o:

     'summary.pdMat','pdMat'

_E_x_a_m_p_l_e_s:

     pd1 <- pdCompSymm(3 * diag(2) + 1, form = ~age + age^2,
              data = Orthodont)
     print(summary(pd1), sigma = 1.2, resid = TRUE)

