toydata             package:GeneSelector             R Documentation

_S_i_m_u_l_a_t_e_d _g_e_n_e _e_x_p_r_e_s_s_i_o_n _d_a_t_a_s_e_t.

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

     A matrix with rows corresponding to genes and colums corresponding
     to observations (arrays). The first row contains the class labels
     (1 and 2), the following 2000 rows the gene expressions.
      The gene expressions were drawn from a multivariate normal
     distribution of dimension 2000 with mean vector zero and an
     unstructured simulated covariance matrix drawn from an Inverse
     Wishart distribution.
      The first 40 genes are differentially expressed, the differences
     in the mean for the first class  were drawn from a normal
     distribution.

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

     data(toydata)

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

     data(toydata)
     ## extract class labels
     yy <- toydata[1,]
     table(yy)
     ## extract gene expressions
     xx <- toydata[-1,]

