heartrate                package:drc                R Documentation

_H_e_a_r_t _r_a_t_e _b_a_r_o_r_e_f_l_e_x_e_s _f_o_r _r_a_b_b_i_t_s

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

     The dataset contains measurements of mean arterial pressure (mmHG)
     and heart rate (b/min) for a baroreflex curve.

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

     data(heartrate)

_F_o_r_m_a_t:

     A data frame with 18 observations on the following 2 variables.

     '_p_r_e_s_s_u_r_e' a numeric vector containing measurements of arterial
          pressure.

     '_r_a_t_e' a numeric vector containing measurements of heart rate.

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

     The dataset is an example of an asymmetric dose-response curve,
     that is not easily handled using the log-logistic or Weibull
     models ('LL.4', 'LL.5',  'W1.4' and 'W2.4'), whereas the 'baro5'
     model provides a nice fit.

_S_o_u_r_c_e:

     Ricketts, J. H. and Head, G. A. (1999) A five-parameter logistic
     equation for investigating asymmetry of curvature in baroreflex
     studies,  _Am. J. Physiol. (Regulatory Integrative Comp. Physiol.
     46)_, *277*, 441-454.

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

     ## Fitting the baro5 model
     heartrate.m1 <- drm(rate~pressure, data=heartrate, fct=baro5())
     plot(heartrate.m1)

