maLoessLines             package:marray             R Documentation

_A_d_d _s_m_o_o_t_h_e_d _f_i_t_s _t_o _a _p_l_o_t

_D_e_s_c_r_i_p_t_i_o_n:

     This function may be used to compute and plot loess or lowess fits
     for an existing plot. The plot can be produced by 'plot',
     'maPlot', or 'maPlot.func'.

_U_s_a_g_e:

     maLoessLines(subset=TRUE, weights=NULL, loess.args=list(span = 0.4,
     degree=1, family="symmetric", control=loess.control(trace.hat =
     "approximate", iterations=5, surface="direct")), col=2, lty=1, lwd=2.5, ...)

     maLowessLines(subset = TRUE, f = 0.3, col = 2, lty = 1, lwd = 2.5, ...)

_A_r_g_u_m_e_n_t_s:

  subset: A "logical" or "numeric" vector indicating the subset of
          points used to compute the fits. 

 weights: Optional "numeric" vector of weights - for 'maLoessLines'
          only.

loess.args: List of optional arguments for the 'loess' functions - for
          'maLoessLines' only.

       f: The smoother span for the 'lowess' function - for
          'maLowessLines' only.

     col: The fitted line colors.

     lty: The fitted line types.

     lwd: The fitted line widths.

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

_V_a_l_u_e:

     A function with bindings for 'subset', 'weights', 'loess.args', 
     'col', 'lty', 'lwd', and '...'. This latter function takes as
     arguments 'x' and 'y', the abscissa and ordinates of points on the
     plot, and 'z' a vector of discrete values used to stratify the
     points. Loess (or lowess) fits are performed separately within
     values of 'z'.

_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:

     'loess', 'lowess', 'maPlot', 'maPlot.func'.

_E_x_a_m_p_l_e_s:

     # See examples for maPlot.