makeRandomTestData        package:HilbertVis        R Documentation

_g_e_n_e_r_a_t_e _a _l_o_n_g _v_e_c_t_o_r _o_f _e_x_a_m_p_l_e _d_a_t_a _t_h_a_t _i_s _s_u_i_t_a_b_l_e _t_o _d_e_m_o_n_s_t_r_a_t_e
_t_h_e _H_i_l_b_e_r_t _c_u_r_v_e _v_i_s_u_a_l_i_s_a_t_i_o_n

_D_e_s_c_r_i_p_t_i_o_n:

     This function generates a long numeric vector and fills it with
     many narrow Gaussian peaks of varying width and position. Around
     30 the distribution of peak width is changed to be substantially
     larger. This feature is easily visible with the Hilbert curve
     visualization but much harder to spot with conventional 1D plots.

_U_s_a_g_e:

     makeRandomTestData(len = 1e+07, numPeaks = 500)

_A_r_g_u_m_e_n_t_s:

     len: Length of the vector 

numPeaks: Number of peaks to be placed in the vector 

_V_a_l_u_e:

     A vector, of type 'numeric', with sample data.

_A_u_t_h_o_r(_s):

     Simon Anders, EMBL-EBI, sanders@fs.tum.de

_E_x_a_m_p_l_e_s:

     # See the help page of function 'hilbertImage' for an example.

