precprof                package:calib                R Documentation

_P_l_o_t_t_i_n_g _f_u_n_c_t_i_o_n

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

     This creates a plot of the dose vs. coefficient of variation (cv) 
     output from an object of class calib.fit.

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

     precprof(calib.fit.out, m = calib.fit.out@m, 
     cv = calib.fit.out@cv, vlen = 500, mit = 1000, 
     tolder = 0.001, ylim, xlab = "dose", ylab = "CV", 
     txt.size = 1)

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

calib.fit.out: An object outputed from calib.fit

       m: Number of replicates

      cv: Acceptable coefficient of variation

    ylim: y limit

    xlab: x label

    ylab: y label

txt.size: Text size

  tolder: ...

    vlen: ...

     mit: Max iterations

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

     At the top of the graph the lowest cv acceptable, the working
     range of the assay, and the number of reps is printed.
     Additionally note that precprof is accessed as a generic function
     through the plot function.

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

     Perry Haaland, Dnaiel Samarov, Elaine McVey

_R_e_f_e_r_e_n_c_e_s:

     Davidian and Haaland 1992

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

     'calib.fit'

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

     data(ELISA)
     attach(ELISA)
     model <- calib.fit(Concentration, Response)

     plot(model, type="precprof")

