PR                    package:drc                    R Documentation

_E_x_p_e_c_t_e_d _o_r _p_r_e_d_i_c_t_e_d _r_e_s_p_o_n_s_e

_D_e_s_c_r_i_p_t_i_o_n:

     The function returns the expected or predicted response for
     specified dose values.

_U_s_a_g_e:

       PR(object, xVec, ...)

_A_r_g_u_m_e_n_t_s:

  object: object of class 'drc' obtaining fitting a dose-response
          model.

    xVec: numeric vector of dose values.

     ...: additional arguments to be supplied to 'predict.drc'. No
          effect at the moment.

_D_e_t_a_i_l_s:

     This function is a convenience function for easy access to
     predicted values.

_V_a_l_u_e:

     A numeric vector of predicted values or possibly a matrix of
     predicted values and corresponding standard errors.

_A_u_t_h_o_r(_s):

     Christian Ritz after a suggestion from Andrew Kniss.

_S_e_e _A_l_s_o:

     Predictions can also be obtained using 'predict.drc'.

_E_x_a_m_p_l_e_s:

     ryegrass.m1 <- drm(ryegrass, fct = LL.4())
     PR(ryegrass.m1, c(5, 10))

     ryegrass.m2 <- drm(ryegrass, fct = LL2.4())
     PR(ryegrass.m2, c(5, 10))

     spinach.m1 <- drm(SLOPE~DOSE, CURVE, data=spinach, fct = LL.4())
     PR(spinach.m1, c(5, 10))

