

_R_a_n_d_o_m _S_a_m_p_l_e_s _a_n_d _P_e_r_m_u_t_a_t_i_o_n_s

     sample(x, size, replace=FALSE, prob)

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

     `sample' takes a sample of the specified size from the
     elements of `x' using either with or without replace-
     ment sampling according to the value of `replace'.

     By default `size' is equal to `length(x)' so that
     `sample(x)' generates a random permutation of the ele-
     ments of `x'.

     If `x' has length 1, sampling takes place from `1:x'.

     The optional `prob' agrument can be used to give a vec-
     tor of probabilities of obtaining the elements of the
     vector being sampled.

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

     x <- 1:12
     # a random permutation
     sample(x)
     # bootstrap sampling
     sample(x,replace=TRUE)

     # 100 Bernoulli trials
     sample(c(0,1), 100, replace = TRUE)

