zscore                 package:limma                 R Documentation

_Z-_s_c_o_r_e _E_q_u_i_v_a_l_e_n_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     Compute z-score equivalents of for gamma or t-distribution random
     deviates.

_U_s_a_g_e:

     zscoreGamma(q, shape, rate = 1, scale = 1/rate) 
     zscoreT(x, df)
     tZscore(x, df)

_A_r_g_u_m_e_n_t_s:

    q, x: numeric matrix for vector giving deviates of a random
          variaable

   shape: gamma shape parameter (>0)

    rate: gamma rate parameter (>0)

   scale: gamma scale parameter (>0)

      df: degrees of freedom (>0 for 'zscoreT' or >=1 for 'tZscore')

_D_e_t_a_i_l_s:

     These functions compute the standard normal deviates which have
     the same quantiles as the given values in the specified
     distribution. For example, if 'z <- zscoreT(x,df=df)' then
     'pnorm(z)' equals 'pt(x,df=df)'. 'tZscore' is the inverse of
     'zscoreT'.

     Care is taken to do the computations accurately in both tails of
     the distributions.

_V_a_l_u_e:

     Numeric vector giving equivalent deviates from a standard normal
     distribution ('zscoreGamma' and 'zscoreT') or deviates from a
     t-distribution ('tZscore').

_A_u_t_h_o_r(_s):

     Gordon Smyth

_S_e_e _A_l_s_o:

     'qnorm', 'pgamma', 'pt'

_E_x_a_m_p_l_e_s:

     zscoreGamma(1, shape=1, scale=1)
     zscoreT(2, df=3)
     tZscore(2, df=3)

