naresid                 package:base                 R Documentation

_A_d_j_u_s_t _f_o_r _M_i_s_s_i_n_g _V_a_l_u_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     Use missing value information to adjust residuals and predictions.

_U_s_a_g_e:

     naresid(omit, x, ...)
     napredict(omit, x, ...)

_A_r_g_u_m_e_n_t_s:

    omit: An object produced by an `na.action' function. 

       x: A vector, data frame, or matrix to be adjusted based upon the
          missing value information. 

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

_D_e_t_a_i_l_s:

     These are utility functions used to allow `predict' and `resid'
     methods for modelling functions to compensate for the removal of
     `NA's in the fitting process.  There are used by the default,
     `"lm"' and `"glm"' methods, and by further methods in packages
     `MASS', `rpart' and `survival'.

     The default methods do nothing.  The method for the `na.exclude'
     action to pad the object with `NA's in the correct positions to
     have the same number of rows as the original data frame.

     Currently `naresid' and `napredict' are identical, but future
     methods need not be.  `naresid' is used for residuals, and
     `napredict' for fitted values and predictions.

_V_a_l_u_e:

     These return a similar object to `x'.

_N_o_t_e:

     Packages `rpart' and `survival5' used to contain versions of these
     functions that had an `na.omit' action equivalent to that now used
     for `na.exclude'.

