maNorm2D package:marray R Documentation _2_D _s_p_a_t_i_a_l _l_o_c_a_t_i_o_n _n_o_r_m_a_l_i_z_a_t_i_o_n _f_u_n_c_t_i_o_n _D_e_s_c_r_i_p_t_i_o_n: This function is used for 2D spatial location normalization, using the robust local regression function 'loess'. It should be used as an argument to the main normalization function 'maNormMain'. _U_s_a_g_e: maNorm2D(x="maSpotRow", y="maSpotCol", z="maM", g="maPrintTip", w=NULL, subset=TRUE, span=0.4, ...) _A_r_g_u_m_e_n_t_s: x: Name of accessor method for spot row coordinates, usually 'maSpotRow'. y: Name of accessor method for spot column coordinates, usually 'maSpotCol'. z: Name of accessor method for spot statistics, usually the log-ratio 'maM'. g: Name of accessor method for print-tip-group indices, usually 'maPrintTip'. w: An optional numeric vector of weights. subset: A "logical" or "numeric" vector indicating the subset of points used to compute the fits. span: The argument 'span' which controls the degree of smoothing in the 'loess' function. ...: Misc arguments _D_e_t_a_i_l_s: The spot statistic named in 'z' is regressed on spot row and column coordinates, separately within print-tip-group, using the 'loess' function. _V_a_l_u_e: A function with bindings for the above arguments. This latter function takes as argument an object of class '"marrayRaw"' (or possibly '"marrayNorm"'), and returns a vector of fitted values to be substracted from the raw log-ratios. It calls the function 'ma2D', which is not specific to microarray objects. _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: 'maNormMain', 'ma2D', 'loess'. _E_x_a_m_p_l_e_s: # See examples for maNormMain.