rowSds                  package:vsn                  R Documentation

_R_o_w _s_t_a_n_d_a_r_d _d_e_v_i_a_t_i_o_n _o_f _a _n_u_m_e_r_i_c _a_r_r_a_y

_D_e_s_c_r_i_p_t_i_o_n:

     Row standard deviation of a numeric array

_U_s_a_g_e:

     rowSds(x, ...)

_A_r_g_u_m_e_n_t_s:

       x: An array of two or more dimensions, containing numeric,
          complex, integer or logical values, or a numeric data frame.

     ...: Further arguments that get passed on to 'rowMeans' and
          'rowSums'.

_D_e_t_a_i_l_s:

     This a convenience function, the main work is done in 'rowMeans'
     and 'rowSums'. See the function definition, it is very simple.

_V_a_l_u_e:

     A numeric or complex array of suitable size, or a vector if the
     result is one-dimensional.  The `dimnames' (or `names' for a
     vector result) are taken from the original array.

_A_u_t_h_o_r(_s):

     Wolfgang Huber <URL: http://www.ebi.ac.uk/huber>

_S_e_e _A_l_s_o:

     'rowMeans' and 'rowSums'

_E_x_a_m_p_l_e_s:

        a = matrix(rnorm(1e4), nrow=10)
        rowSds(a)

