AffyRNAdeg package:affy R Documentation _F_u_n_c_t_i_o_n _t_o _a_s_s_e_s_s _R_N_A _d_e_g_r_a_d_a_t_i_o_n _i_n _A_f_f_y_m_e_t_r_i_x _G_e_n_e_C_h_i_p _d_a_t_a. _D_e_s_c_r_i_p_t_i_o_n: Uses ordered probes in probeset to detect possible RNA degradation. Plots and statistics used for evaluation. _U_s_a_g_e: AffyRNAdeg(abatch,log.it=TRUE) summaryAffyRNAdeg(rna.deg.obj,signif.digits=3) plotAffyRNAdeg(rna.deg.obj, transform = "shift.scale", cols = NULL, ...) _A_r_g_u_m_e_n_t_s: abatch: An object of class 'AffyBatch-class'. log.it: A logical argument: If log.it=T, then probe data is log2 tranformed rna.deg.obj: Output from AffyRNAdeg signif.digits: Number of significant digits to show. transform: Possible choices are "shift.scale","shift.only", and "neither". "Shift" vertically staggers the plots for individual chips, to make the display easier to read. "Scale" normalizes so that standard deviation is equal to 1. cols: A vector of colors for plot, length = number of chips ...: further arguments for 'plot' function. _D_e_t_a_i_l_s: Within each probeset, probes are numbered directionally from the 5' end to the 3' end. Probe intensities are averaged by probe number, across all genes. If log.it='FALSE' and transform="Neither", then plotAffyRNAdeg simply shows these means for each chip. Shifted and scaled versions of the plot can make it easier to see. _V_a_l_u_e: 'AffyRNAdeg' returns a list with the following components: sample.names : names of samples, derived from affy batch object means.by.number: average intensity by probe position ses: standard errors for probe position averages slope: from linear regression of means.by.number pvalue: from linear regression of means.by.number _A_u_t_h_o_r(_s): Leslie Cope _E_x_a_m_p_l_e_s: data(affybatch.example) RNAdeg<-AffyRNAdeg(affybatch.example) plotAffyRNAdeg(RNAdeg)