plot.isoreg              package:stats              R Documentation

_P_l_o_t _M_e_t_h_o_d _f_o_r _i_s_o_r_e_g  _O_b_j_e_c_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     The 'plot' method for R objects of class 'isoreg'.

_U_s_a_g_e:

     ## S3 method for class 'isoreg':
     plot(x, plot.type = c("single", "row.wise", "col.wise"),
           main = paste("Isotonic regression", deparse(x$call)),
           main2 = "Cumulative Data and Convex Minorant",
           xlab = "x0", ylab = "x$y",
           par.fit = list(col = "red", cex = 1.5, pch = 13, lwd = 1.5),
           mar = if (both) 0.1 + c(3.5, 2.5, 1, 1) else par("mar"),
           mgp = if (both) c(1.6, 0.7, 0) else par("mgp"),
           grid = length(x$x) < 12, ...)

_A_r_g_u_m_e_n_t_s:

       x: an 'isoreg' object.

plot.type: character indicating which type of plot is desired. The
          first (default) only draws the data and the fit, where the
          others add a plot of the cumulative data and fit.

    main: main title of plot, see 'title'.

   main2: title for second (cumulative) plot.

xlab, ylab: x- and y- axis annotation.

 par.fit: a 'list' of arguments (for 'points' and 'lines') for drawing
          the fit.

mar, mgp: graphical parameters, see 'par', mainly for the case of two
          plots.

    grid: logical indicating if grid lines should be drawn.  If true,
          'grid()' is used for the first plot, where as vertical lines
          are drawn at "touching" points for the cumulative plot.

     ...: further arguments passed to and from methods.

_S_e_e _A_l_s_o:

     'isoreg' for computation of 'isoreg' objects.

_E_x_a_m_p_l_e_s:

     example(isoreg) # for the examples there

     ## 'same' plot as above, "proving" that only ranks of 'x' are important
     plot(isoreg(2^(1:9), c(1,0,4,3,3,5,4,2,0)), plot.t = "row", log = "x")

     plot(ir3, plot.type = "row", ylab = "y3")
     plot(isoreg(y3 - 4), plot.t="r", ylab = "y3 - 4")
     plot(ir4, plot.type = "ro",  ylab = "y4", xlab = "x = 1:n")

     ## experiment a bit with these (C-c C-j):
     plot(isoreg(sample(9),  y3), plot.type="row")
     plot(isoreg(sample(9),  y3), plot.type="col.wise")

     plot(ir <- isoreg(sample(10), sample(10, replace = TRUE)), plot.t = "r")

