qdixon               package:outliers               R Documentation

_c_r_i_t_i_c_a_l _v_a_l_u_e_s _a_n_d _p-_v_a_l_u_e_s _f_o_r _D_i_x_o_n _t_e_s_t_s

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

     Approximated quantiles (critical values) and distribution function
     (giving p-values) for Dixon tests for outliers.

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

     qdixon(p, n, type = 10, rev = FALSE)
     pdixon(q, n, type = 10)

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

       p: vector of probabilities. 

       q: vector of quantiles. 

       n: length of sample. 

    type: integer value: 10, 11, 12, 20, or 21. For description see
          'dixon.test'. 

     rev: function 'qdixon' with this parameter set to TRUE acts as
          'pdixon'.

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

     This function is based on tabularized Dixon distribution, given by
     Dixon (1950) and corrected by Rorabacher (1991). Continuity is
     reached due to smart interpolation using 'qtable' function. By
     now, numerical procedure to obtain these values for n>3 is not
     known.

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

     Critical value or p-value (vector).

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

     Lukasz Komsta

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

     Dixon, W.J. (1950). Analysis of extreme values. Ann. Math. Stat.
     21, 4, 488-506.

     Dixon, W.J. (1951). Ratios involving extreme values. Ann. Math.
     Stat. 22, 1, 68-78.

     Rorabacher, D.B. (1991). Statistical Treatment for Rejection of
     Deviant Values: Critical Values of Dixon Q Parameter and Related
     Subrange Ratios at the 95 percent Confidence Level. Anal. Chem.
     83, 2, 139-146.

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

     'qtable', 'dixon.test'

