hist-methods              package:lumi              R Documentation

_D_e_n_s_i_t_y _p_l_o_t _o_f _a _E_x_p_r_e_s_s_i_o_n_S_e_t _o_b_j_e_c_t

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

     Creating density plot of sample intensities in a ExpressionSet
     object

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

     ## S4 method for signature 'ExpressionSet':
     hist(x, logMode=TRUE, xlab = NULL, ylab = "density", type = "l",
             index.highlight = NULL, color.highlight = 2, symmetry = NULL, addLegend = TRUE, subset = 5000, ...)

_A_r_g_u_m_e_n_t_s:

       x: a 'ExpressionSet' object

 logMode: determine whether the density plot is based on a log2 scale 

    xlab: xlab of the density plot 

    ylab: ylab of the density plot 

    type: parameter of plot function 

index.highlight: the column index of the highlighted density curve 

color.highlight: color of highlighted density curve 

symmetry: the boundary position suppose to be symmetric distributed  

addLegend: whether add legend to the plot or not 

  subset: subset of rows used to plot. It can be an index vector, or
          the length of a random subset

     ...: additional parameters for matplot function 

_S_e_e _A_l_s_o:

     'LumiBatch-class', 'hist'

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

     ## load example data
     data(example.lumi)

     hist(example.lumi)

