maPlot.func              package:marray              R Documentation

_S_c_a_t_t_e_r-_p_l_o_t_s _w_i_t_h _f_i_t_t_e_d _c_u_r_v_e_s _a_n_d _t_e_x_t

_D_e_s_c_r_i_p_t_i_o_n:

     This function produces scatter-plots of 'x' vs. 'y'. It also
     allows the user to highlight and annotate subsets of points on the
     plot, and display fitted curves from robust local regression or
     other smoothing procedures.

_U_s_a_g_e:

     maPlot.func(x, y, z, 
             lines.func = maLowessLines(subset = TRUE, f = 0.3, col = 1:length(unique(z)), lty = 1, lwd = 2.5),
             text.func = maText(), 
             legend.func = maLegendLines(legend = as.character(unique(z)), col = 1:length(unique(z)), lty = 1, lwd = 2.5, ncol = 1),
              ...)

_A_r_g_u_m_e_n_t_s:

       x: A "numeric" vector for the abscissa.

       y: A "numeric" vector for the ordinates.

       z: A vector of statistic used to stratify the data, smoothed
          curves are fitted separately within values of 'z'

lines.func: A function for computing and plotting smoothed fits of 'y'
          as a function of 'x', separately within values of 'z', e.g.
          'maLoessLines'.

text.func: A function for highlighting a subset of points, e.g.,
          'maText'.

legend.func: A function for adding a legend to the plot, e.g.
          'maLegendLines'.

     ...: Optional graphical parameters, see 'par'.

_A_u_t_h_o_r(_s):

     Sandrine Dudoit, <URL: http://www.stat.berkeley.edu/~sandrine>.

_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:

     'maPlot', 'maLoessLines', 'maLegendLines', 'maText', 'plot',
     'lowess', 'loess', 'legend'.

_E_x_a_m_p_l_e_s:

     # See examples for maPlot.