maImage.func package:marray R Documentation _C_o_l_o_r _i_m_a_g_e _f_o_r _c_D_N_A _m_i_c_r_o_a_r_r_a_y _s_p_o_t _s_t_a_t_i_s_t_i_c_s _D_e_s_c_r_i_p_t_i_o_n: This function creates spatial images of shades of gray or colors that correspond to the values of a statistic for each spot on the array. The statistic can be the intensity log-ratio M, a spot quality measure (e.g. spot size or shape), or a test statistic. This function can be used to explore whether there are any spatial effects in the data, for example, print-tip or cover-slip effects. This function is called by 'maImage'. _U_s_a_g_e: maImage.func(x, L, subset=TRUE, col=heat.colors(12), contours=FALSE, overlay=NULL, ol.col=1, ...) _A_r_g_u_m_e_n_t_s: x: A "numeric" vector of spot statistics. L: An object of class '"marrayLayout"', if L is missing we will assume the dimension of x. subset: A "logical" or "numeric" vector indicating the subset of spots to display on the image. col: A list of colors such as that generated by rainbow, heat.colors, topo.colors, terrain.colors, or similar functions. In addition to these color palette functions, a new function 'maPalette' was defined to generate color palettes from user supplied low, middle, and high color values. contours: If 'contours=TRUE', contours are plotted, otherwise they are not shown. overlay: A logical vector of spots to be highlighted on the image plots. ol.col: Color of the overlay spots. ...: Optional graphical parameters, see 'par'. _A_u_t_h_o_r(_s): Sandrine Dudoit, . _R_e_f_e_r_e_n_c_e_s: S. Dudoit and Y. H. Yang. (2002). Bioconductor R packages for exploratory analysis and normalization of cDNA microarray data. In G. Parmigiani, E. S. Garrett, R. A. Irizarry and S. L. Zeger, editors, _The Analysis of Gene Expression Data: Methods and Software_, Springer, New York. _S_e_e _A_l_s_o: 'image', 'maImage', 'maColorBar', 'maPalette'. _E_x_a_m_p_l_e_s: # See examples for image.