makeRandomTestData        package:HilbertVis        R Documentation

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_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.

