plotControlData             package:lumi             R Documentation

_P_l_o_t _t_h_e _m_e_a_n _e_x_p_r_e_s_s_i_o_n (_w_i_t_h _s_t_a_n_d_a_r_d _d_e_v_i_a_t_i_o_n _b_a_r) _o_f _d_i_f_f_e_r_e_n_t _t_y_p_e _o_f _c_o_n_t_r_o_l _p_r_o_b_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     Plot the mean expression (with standard deviation bar) of
     different type of control probes. Multiple control types can be
     plotted in a single plot. The available control types can be get
     by running getControlType(controlData).

_U_s_a_g_e:

     plotControlData(controlData, type = NULL, slideIndex = NULL, logMode = FALSE, new = TRUE, ...)

_A_r_g_u_m_e_n_t_s:

controlData: a LumiBatch object including control data or a control
          data data.frame

    type: the control probe type (case insensitive), which can be get
          by running getControlType(controlData) 

slideIndex: the slide index or ID corresponding to each sample 

 logMode: whether show the data in log2 scale 

     new: whether refresh the new plot or add it on the old one  

     ...: other parameters used by default plot function 

_D_e_t_a_i_l_s:

     When multiple control types are selected, they will be plotted in
     a two-column plot.

_V_a_l_u_e:

     plot the picture and return TRUE if everything is OK

_A_u_t_h_o_r(_s):

     Pan Du

_S_e_e _A_l_s_o:

     'addControlData2lumi'

_E_x_a_m_p_l_e_s:

             controlFile <- system.file('doc', 'Control_Probe_Profile.txt', package='lumi')
             controlData <- getControlData(controlFile)
             getControlType(controlData)
             plotControlData(controlData, type='NEGATIVE')

