qqgl                   package:gld                   R Documentation

_Q_u_a_n_t_i_l_e-_Q_u_a_n_t_i_l_e _p_l_o_t _a_g_a_i_n_s_t _t_h_e _g_e_n_e_r_a_l_i_s_e_d _l_a_m_b_d_a _d_i_s_t_r_i_b_u_t_i_o_n

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

     'qqgl' produces a Quantile-Quantile plot against the generalised
     lambda distribution.  It does for the generalised lambda
     distribution what 'qqnorm' does for the normal.

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

     qqgl(y, lambda1, lambda2, lambda3, lambda4, param = "fmkl", abline = TRUE, ...)

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

       y: The data sample

 lambda1: lambda 1 - location parameter _Note that the numbering of the
          lambda parameters  is different to that used by Freimer,
          Mudholkar, Kollia and Lin._ 

 lambda2: lambda 2 - scale parameter

 lambda3: lambda 3 - first shape parameter

 lambda4: lambda 4 - second shape parameter

   param: choose parameterisation:  'fmkl' uses _Freimer, Mudholkar,
          Kollia and Lin (1988)_ (default). 'rs' uses _Ramberg and
          Schmeiser (1974)_

  abline: A logical value, TRUE adds a line through the origian with a
          slope of 1 to the plot

     ...: graphical parameters

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

     See 'gld' for more details on the Generalised Lambda Distribution.
      A Q-Q plot provides a way to visually assess the correspondence
     between a dataset and a particular distribution.

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

     A list of the same form as that returned by 'qqline' 

       x: The x coordinates of the points that were/would be plotted,
          corresponding to a generalised lambda distibution with
          parameters  lambda 1, lambda 2, lambda 3, lambda 4. 

       y: The original 'y' vector, i.e., the corresponding y
          coordinates.

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

     Robert King, robert.king@newcastle.edu.au, <URL:
     http://maths.newcastle.edu.au/~rking/>

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

     King, R.A.R. & MacGillivray, H. L. (1999), _A starship method for
     fitting the generalised lambda distributions_, Australian and New
     Zealand Journal of Statistics *41*, 353-374

     <URL: http://maths.newcastle.edu.au/~rking/gld/>

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

     'gld','starship'

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

     qqgl(rgl(100,0,1,0,-.1),0,1,0,-.1)

