Discrete                package:e1071                R Documentation

_D_i_s_c_r_e_t_e _D_i_s_t_r_i_b_u_t_i_o_n

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

     These functions provide information about the discrete
     distribution where the probability of the elements of 'values' is
     proportional to the values given in 'probs', which are normalized
     to sum up to 1.  'ddiscrete' gives the density, 'pdiscrete' gives
     the distribution function, 'qdiscrete' gives the quantile function
     and 'rdiscrete' generates random deviates.

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

     ddiscrete(x, probs, values = 1:length(probs))
     pdiscrete(q, probs, values = 1:length(probs))
     qdiscrete(p, probs, values = 1:length(probs))
     rdiscrete(n, probs, values = 1:length(probs), ...)

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

     x,q: vector or array of quantiles.

       p: vector or array of probabilites.

       n: number of observations.

   probs: probabilities of the distribution.

  values: values of the distribution.

     ...: ignored (only there for backwards compatibility)

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

     The random number generator is simply a wrapper for 'sample' and
     provided for backwards compatibility only.

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

     Andreas Weingessel and Friedrich Leisch

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

     ## a vector of length 30 whose elements are 1 with probability 0.2
     ## and 2 with probability 0.8.
     rdiscrete (30, c(0.2, 0.8))

     ## a vector of length 100 whose elements are A, B, C, D.
     ## The probabilities of the four values have the relation 1:2:3:3
     rdiscrete (100, c(1,2,3,3), c("A","B","C","D"))

