diagplot                package:calib                R Documentation

_D_i_a_g_n_o_s_t_i_c _p_l_o_t_s _f_o_r _s_t_a_n_d_a_r_d _c_u_r_v_e _m_o_d_e_l_s _i_n _c_a_l_i_b

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

     Diagnostic plot for the POM fit

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

     diagplot(pom.out, ptype = "all", ..., cex = 1, oma = c(1, 1, 3, 1))

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

 pom.out: Output from calib.fit with var.model="POM"

   ptype: Different diagnostic plot types to display. Takes values
          "all" for diagnostic plots, "stud" for plot of predicted
          values versus  studentized residuals,  "raw" for plot of
          predicted values versus residuals, "abs" for plot of log
          predicted values versus log absolute residuals ,  "cube" for
          a plot of log predicted values versus cube root squared 
          student residuals

     cex: Graphing parameter

     oma: Graphing parameter

     ...: ~~Describe '...' here~~ 

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

     Note that diagplot is accessed through the plot function. See
     examples below

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

     Perry Haaland, Daniel Samarov, Elaine McVey

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

     'calib'

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

     data(HPLC)
     attach(HPLC)
     model <- calib.fit(Concentration, Response)
     plot(model, type = "diagplot")

